Structured products: what’s behind them?

Jules HERNANDEZ

In this article, Jules HERNANDEZ (ESSEC Business School, Global Bachelor in Business Administration (GBBA), 2021-2025) writes about structured products, the different types of products sold by banks, but also by wealth managers. [FL1.1]This article will also talk about what’s behind them, on a more technical point of view, with description of financial technical instruments such as combinations of derivatives. [FL2.1]

What is a structured product ?

A structured product is a type of financial investment whose return is tied to the performance of one or more underlying assets and defined by pre-specified features and scenarios. It is not a simple buy-and-hold portfolio in equities and bonds, but rather a customized investment instrument created by combining multiple financial products to achieve a particular risk-return profile. [FL4.1]According to BNP Paribas Wealth Management[FL5.1], structured products can be broadly defined as “a savings or investment product where the return is linked to an underlying asset with pre-defined features (maturity date, coupon dates, capital protection level …)”. These instruments belong to the category of non-traditional investment strategies and are typically constructed by packaging together a bond, one or more underlying assets, and financial instruments such as derivatives. It can serve as a tool for portfolio diversification and an alternative to traditional investments, according to Yaël Eljarrat-Ouakni, Head of Structured Products offerings at Societe Generale Private Banking France. [FL6.1]What makes structured products distinctive is that their payoff is conditioned on market outcomes rather than simply the passage of time. The return an investor receives (whether it involves coupon payments, principal protection, or participation in underlying asset performance) is determined at the product’s launch and depends on how the reference markets evolve relative to the conditions set in the product’s terms. In essence, structured products are tailor-made solutions that allow investors to express specific market views or achieve particular investment goals while defining the precise risk and return mechanics in advance. However, because they combine multiple financial instruments and scenarios, these products are considered more sophisticated than traditional securities and require careful understanding before investment.

Main parameters of a structured product

A structured product is made of several parameters [FL7.1]that defines the financial tools. Each product has different settings that are tailored to the risk-return ratio wanted by the investor. The main components are the following:

Underlying asset

Each structured product is linked to an underlying asset whose performance determines the product’s payoff. The underlying can be a single stock, an equity index, a basket of shares, an interest rate, a credit entity, a commodity, or a currency pair. All asset classes can be underlying assets of a structured product. It could even be a basket of a stock and a rate[FL8.1]. We could imagine an example where an investor is exposed to Apple on one hand, and to the OAT 10 years rate on the other hand. Its characteristics such as volatility, correlation (in the case of baskets), and overall market conditions directly influence the product’s pricing, risk profile, and potential return. The nature of the underlying is therefore a central element in understanding the behavior of the structured product.

Coupons

Similarly to a bond, a coupon is the pre-agreed (before the product is bought) potential income paid to the investor during the life of the structured product. They may be fixed or conditional, and in many structures, they are paid only if the underlying remains above a predefined barrier on specific observation dates. The level of coupons offered depends on several market factors, including volatility of the underlying, interest rates, maturity, dividends in case of a stock or index underlying, and the level of protection embedded in the structure. We will see later in further details how these factors impact the level of the coupon.

Maturity

Maturity is the predetermined date on which the structured product expires, and its final payoff is calculated. It may range from short-term (around one year) to long-term (up to ten years or more). Any capital protection mechanism typically applies only at maturity. Certain products also include early redemption features, such as autocall mechanisms, which allow the product to terminate before its scheduled maturity if specific market conditions are satisfied.

Capital protection level

The capital protection level defines the extent to which the initial investment is protected at maturity. Protection may be full, partial, or conditional upon the underlying not falling below a specified barrier. If the protection condition is breached, the investor may be exposed to partial or total loss of capital. This parameter is fundamental, as it largely determines the downside risk embedded in the product. We will explore later why this protection matters and how by reducing the capital protection, an investor can increase its coupon.

Observation frequency

Observation frequency refers to how often the product’s conditions are assessed. Observations may occur annually, semi-annually, quarterly, monthly, or even daily, depending on the structure. Coupon payments, barrier monitoring, and early redemption triggers are evaluated on these predefined dates. For instance, the frequency of observation affects the probability of coupons being paid and the likelihood of early redemption.

Issuer

A structured product is issued by a financial institution, typically a bank. The most known issuers on the market are typically JP Morgan, Goldman Sachs, BNPParibas or Société Générale. [FL9.1]Investors are therefore exposed to issuer credit risk, meaning that the repayment of capital and any coupons depends on the issuer’s financial strength and ability to meet its obligations. In the event of issuer default, investors may incur losses regardless of the performance of the underlying asset. Assessing the creditworthiness of the issuer is therefore essential.

Liquidity conditions

Liquidity conditions refer to the ability to sell the structured product before maturity. Although many issuers usually provide secondary market pricing under normal market conditions, liquidity is not guaranteed. The product’s market value before maturity can fluctuate significantly due to changes in the underlying asset, volatility, interest rates, and credit spreads. As a result, exiting early may lead to gains or losses that differ substantially from the payoff expected at maturity.

The different families of products

Capital growth products

Capital growth products are structured products designed primarily to enhance the value of the initial investment at maturity rather than to generate regular income during the life of the product. Returns are typically paid at maturity and depend on the performance of the underlying asset according to predefined participation rates, leverage factors, or payoff formulas. These products may offer full or partial capital protection, or they may provide enhanced upside participation in exchange for limited or conditional downside protection. They are generally suitable for investors seeking medium- to long-term capital appreciation and who do not require periodic income. Most of these products bear the name of “Athena products” and usually have autocall features, which we’ll explain in further sections.

Yield products

Yield or income products are designed to generate regular conditional coupons during the life of the investment. These coupons are typically paid periodically (for instance, quarterly, or annually) if certain market conditions are met. The income offered is usually higher than traditional fixed-income instruments because investors accept conditional and additional downside risk. In many cases, capital is only protected if the underlying asset does not breach a predefined barrier at maturity. Common examples of yield products are Phoenix products [FL10.1]or reverse convertibles.

Main Types of Structured Products

[FL11.1]

Autocall

Autocallable notes (often simply called “Autocalls”) are structured products that offer conditional coupons and include an automatic early redemption feature. On predefined observation dates, if the underlying asset trades at or above a specified level (the autocall barrier), usually the strike of the underlying, the product is redeemed early, and the investor receives the nominal amount plus the accrued coupon. To recall, [FL12.1]the strike price is the price at which the underlying asset trades when the structured product is issued. The strike price is often expressed as a percentage of the initial level, which is always 100, representing the initial level set at inception. If the underlying asset does not trade at more than the strike level at the observation date, e.g. 90, the product continues until the next observation date or until maturity. Autocalls are among the most widely distributed structures in Europe. According to the AMF report “Markets and Risk Outlook” of 2025, “The most common structure for structured products distributed in Europe, as in the rest of the world, is the autocall” and “In France, in 2024, autocalls accounted for almost two-thirds of the structured products distributed.”

Worst of products

“Worst of” structured products are linked to a basket of underlyings, and their performance is determined by the worst-performing asset in the basket. Imagine a worst of product with 3 underlying assets, Apple, Microsoft, Amazon. At observation date, we will take into consideration for the payment of the coupon (and the autocall feature if the product is a Autocall worst of) the least performative asset. For instance, if Apple is at 70% of the strike, Microsoft at 80% and Amazon at 65%, only the amazon performance will be taken into account. While this structure allows for higher coupon payments due to increased risk, it also significantly raises downside exposure because capital protection and coupon conditions depend on the weakest underlying. It is in the investor’s interest to select a basket of underlyings whose correlation is as close as possible to 1. Ideally, all the assets should move in the same direction. A correlation of -1 would be completely detrimental to the investor since if one stock performs well, the other stock has a high probability of opposite performance. Some banks also issue “Best of” products which are a lot less risky[FL13.1], because the underlying taken into account is, here, the strongest asset.

Bearish products

Bearish products are designed for investors with a negative or moderately bearish market view. In simpler words, the investor is going against the market, betting the market will go down. In these structures, coupons or early redemption may be triggered if the underlying remains below or declines toward certain predefined levels. They allow investors to monetize a non-bullish market scenario while still embedding conditional risk protection mechanisms. These products are not common, but for certain investors those can be interesting for tactical diversification or hedging positions.

Phoenix products

Phoenix products are income-generating structured products that pay periodic conditional coupons, often featuring a memory effect, which we’ll explain later. Unlike standard autocalls, coupon payments do not necessarily require early redemption. Coupons may accumulate and be paid later if conditions are subsequently met. At maturity, all the coupons accumulated are paid and the capital is refunded if the underlying is not below the capital protection barrier. Phoenix structures are widely used in private banking for investors seeking regular yield.

Credit Linked Note (CLN)

Credit Linked Notes are structured products that provide exposure to the credit risk of one or several reference entities. Instead of being primarily linked to equity performance, CLNs are tied to the occurrence of predefined credit events (such as default or restructuring). Investors receive enhanced yield in exchange for assuming the credit risk of the reference entity. If a credit event occurs, the investor may suffer partial or total loss of capital depending on the recovery rate. On a more technical point of view, in the case of a CLN, the investor is selling Credit Default Swaps (CDS) to finance the coupon he’s supposed to receive if no credit default occurs. (During an interview, you might simply say, that in a CLN, the investor is short a CDS). These CLN can be linked to more than one company and are tools commonly used for yield enhancement and credit diversification strategies.

Reverse Convertible

Reverse convertibles are yield-enhancement products that offer high fixed coupons in exchange for conditional exposure to the downside of an underlying asset. In these products, regardless of the performance of the underlying asset, the coupon will always be paid. But, on the other hand, if the underlying falls below the capital protection barrier, repayment may occur in shares (or at a value linked to the underlying’s final level), leading to potential capital loss. Otherwise, if the underlying remains above a predefined strike or barrier at maturity, the investor receives full nominal repayment. Therefore, these products always last until the end of their lifespan. Depending on the maturity, the investor is taking a illiquidity risk (this risk is associated with every type of structured products, even if there might be liquidity conditions that can allow the investor to sell his position on a secondary market).

Key features of structured products

Structured products are engineered using specific mechanisms that shape their risk-return profiles. By playing with the parameters, we’ll explore in this section, an investor is able to shape an ideal product, that replicates its market view. By tailoring these mechanisms, an issuer can adjust the risk/return ratio of a structured product. Overall, taking more risks means greater coupons for the investor (as always, if the conditions for payment are met).

Capital protection barriers

A capital protection barrier is a predefined level of the underlying asset below which the investor may incur a loss of capital. If the underlying never breaches this barrier during its observation period (or at maturity, depending on the structure), the investor can benefit from full or partial protection of their initial investment. Barriers are usually expressed as a percentage of the initial underlying level (set at 100). For instance, if a structured product sets a capital protection barrier at 70%. This means that, at maturity, if the underlying lies below this barrier, the investor will suffer a capital loss, proportional to how deep he is. If the underlying is trading at 65% of the strike at maturity, the investor will lose 35% of its invested capital. Otherwise, if the underlying asset closes at 71%, the entirety of the nominal invested will be repaid to the investor.

Investors should understand that the lower the capital protection barrier, the “safer” the investment, and therefore the lower the coupon offered. Conversely, the higher the capital protection barrier, the riskier the product becomes, as the probability of incurring a capital loss increases, and accordingly, the higher the coupon offered. It is also possible to remove all kinds of capital protection, but this rarely the case since it offers full exposure to the underlying asset and is therefore very risky.

Total capital protection

Total capital protection means that the investor’s principal is guaranteed at maturity regardless of the performance of the underlying. In fully capital-protected products, the investor will receive at least the nominal amount back at maturity. The products with this feature are considered “safe”, but the investor bears a huge illiquidity risk depending on the maturity. Even though he can exit the product under certain liquidity circumstances but recall that these conditions are not always in favor of the investor. The issuer is not willing to lose money by providing these exit possibilities. Therefore, exiting a structured before maturity goes almost always with a discount.

Decrement indices as underlying

This feature is one the most complex features of structured products and is very often misunderstood by investors, but also by wealth managers. This feature is extremely risky as the Central Bank of Ireland tried to warn investors but also finance professionals with a letter in March 2023 to warn about these decrement indices. A decrement index is a type of financial index that gradually decreases by a fixed amount at regular intervals, such as daily, monthly, or annually. Often, this fixed reduction represents dividends paid by the underlying stocks or a pre-specified amount chosen by the index provider. Essentially, the index is designed to drift downward over time in a predictable way. To price a structured product, the issuer (the bank and its traders/structurers) must anticipate two parameters, the risk-free rate and the expected dividends of the underlying in case of a stock or an index. The issue with dividends is that their level is uncertain. They are rarely stable, and companies decide to adjust it depending on their results or their financing needs. This uncertainty makes the anticipation of the dividends really complex for structurers and this uncertainty must be paid by the investors. What offer the banks to avoid the investor to “pay” this uncertainty is to anticipate these dividends by decreasing by a fixed amount. The coupon for the investor becomes therefore more interesting for the investor but the investment becomes significantly riskier. As a matter of fact, let’s imagine that an investor buys a product linked to the European Stoxx 50 (SX5E), with a decrement of 5% yearly. Each year, 5 points will be removed from the performance of the SX5E. This reduction increases a lot the probability that, at maturity, the underlying asset lies under the capital protection barrier.

Autocall barriers

Main feature of autocallables products, an autocall barrier [FL14.1]is a trigger level set for early redemption. On each observation date, if the underlying asset’s price is at or above this barrier, the product is redeemed early and the investor receives the nominal amount plus an accrued coupon. If the barrier is not reached, the product continues until the next observation date or maturity. The probability of early redemption is influenced by volatility, time to maturity, barrier level, and observation frequency. Lower volatility increases the likelihood that the underlying remains near its initial level and therefore increases the probability of being called. Higher observation frequency increases the number of opportunities for redemption. Lower autocall barriers raise the probability of early termination but reduce the coupon that can be offered, as the option budget must reflect the increased likelihood of payout.

Degressive or step-down barriers

Degressive barriers (also called step-down barriers) are barrier levels that decrease over time according to a predetermined schedule (not to be confused with decrement, which is totally different). This feature can affect coupon barriers and/or autocall barriers. This mechanism makes it easier for the product to maintain capital protection or coupon conditions as time passes, since the barrier getting lower, it becomes less risky for the investor and easier to get the coupon even if the underlying has a negative performance. Step-down features are commonly used to balance downside protection with attractive coupon levels.

Leveraged products

Leveraged products amplify the exposure to the underlying’s performance. Instead of offering a one-for-one participation in gains or losses, they provide a multiple (e.g., 2×) of the underlying’s movement above or below a certain level. Leveraged structures can offer higher potential returns but also involve significantly greater risk and complexity, especially in volatile markets. These investments are highly risky and are not common in France or in Europe due to legislation.

Memory effect

The memory effect is a feature found in some structured products, particularly Phoenix, where missed coupon payments can be “remembered” and paid later if conditions are subsequently met. For example, if the product fails to meet the coupon condition on one observation date but satisfies it on subsequent dates, the investor may receive the accumulated unpaid coupons at that later time. This mechanism enhances the probability of ultimately receiving the anticipated income. This feature makes the product less risky and therefore reduces the amount of the coupon.

Technical composition of a structured product: What’s behind the scene?

Structured products may appear complex, but from a financial engineering perspective, most of them can be broken down into two fundamental building blocks: a fixed-income component and a derivatives component. Understanding this decomposition is key to understanding pricing, risk, and payoff mechanics. The fixed-income component corresponds to a zero-coupon bond, and the derivatives component is made of one or multiple options.

Zero-coupon bond

The zero-coupon bond is the capital preservation engine of the structured product. To build a structured product, a zero-coupon bond is purchased at a discount and repays its full nominal value at maturity. In structured products, part of the investor’s initial capital is allocated to buying a zero-coupon bond issued by the bank. If held until maturity, this bond grows back to the nominal amount, thereby ensuring full or partial capital protection (depending on the structure). For example, if interest rates are positive, the issuer does not need to invest 100% of the investor’s capital to guarantee 100% repayment at maturity. A portion (say 85–95%) may be sufficient to secure the nominal amount at maturity, because when a zero-coupon is bought, it is bought a discount. Indeed, the formula for this instrument is as follows : Price (or Present Value) = N/(1+r)^T, with N, the nominal, r, the interest rate, T, the number of years. [FL15.1]For example, if interest rates are 3% and maturity is five years, the issuer needs approximately 86.3% of the invested capital to guarantee repayment of 100 at maturity. The remaining 13.7% constitutes the option budget that will finance the derivative component of the structure. This simple discounting mechanism explains why the interest rate environment plays a crucial role in structured product design. When interest rates are high, the present value of the guaranteed capital is lower, leaving a larger budget to purchase optionality. Conversely, in a low-rate environment, capital protection becomes more expensive, reducing the amount available to enhance coupons or upside participation. Moreover, the longer the maturity, the cheaper the bond. This allows the investor to have a greater budget for the other component, that shapes the payoff. The bigger budget for the options you have, the greater your coupon can be.

Finally the investor has to remember that the zero-coupon bond is not necessarily a risk-free investment. Since the issuer of the bond is the bank that also issues the structured product, the investor bears the issuer’s credit risk default. Therefore, a higher issuer credit spread reduces the cost of the funding leg and mechanically increases the option budget, which may result in more attractive coupons, although at the expense of higher credit risk for the investor.

Options

The performance component of a structured product is constructed through a portfolio of options. Once the funding leg has secured the desired capital protection level, the remaining capital is allocated to buying and/or selling derivative instruments that shape the payoff profile. The option portfolio may include long call options to provide upside participation, short put options to finance enhanced coupons, digital options to generate fixed conditional payments, and barrier options to create knock-in or knock-out features. We will now explore deeper how the mechanisms we explained before are replicated with options.

What about capital protection barriers?

Capital protection barriers are engineered primarily through put options. Consider a structure offering full capital protection as long as the underlying does not fall below 60% of its initial level at maturity. Economically, this is equivalent to the issuer being short a put down-and-in (PDI) option at 60% of the initial level. If the underlying finishes above that level, the put expires worthless, and the investor receives full nominal repayment. If it finishes below, the put is in the money and the investor participates in the downside beyond the strike, typically through physical delivery. Therefore, the sale of this PDI brings cash to the investor that allows to buy more options to increase the potential payoff. By bearing a downside risk with the investor being short a PDI, the premium of the option brings cash to finance other options. The price of these put options varies a lot depending on many factors: volatility of the underlying, maturity but also type of barrier. As a matter of fact, a PDI with a European barrier is cheaper than a PDI with an American barrier. Let’s break it down. European barriers can only be triggered at the end of the product life, at the maturity, but an American put can be exercised at any time before maturity. Ultimately, an American option gives more in-the-moneyness probabilities to the investor who is long the put.

Moreover, there is a concept that matters a lot for structurers: the skew. Skew simply states that the downside protection is more expensive than upward protection. In other words, put are more expensive than call for a same (opposite) strike. This is explained because investors fear more the loss than the gains. This concept affects therefore the price of a PDI option, in the advantage of the investor if he’s willing to take a riskier standpoint. Finally, another alternative to PDI to gain downside protection, is the Gear Put, which is a leveraged put. As I mentioned earlier, these protections are not common since the European and French regulators do not want that retail investors take leveraged downside positions.

How do structurers build autocall barriers ?

To recall, [FL16.1]an autocall is triggered if, at the observation date, the underlying trades above the autocall barrier. This barrier is synthetized by structurers by using knock-out digital options, calls here, also called barrier options. These tools simply say that, at the observation date, if the underlying asset trades above the strike price, then the digital call is triggered and pays a fixed pre-determined amount. The payoff of these instruments is therefore simply 1 or 0 depending of the level of the underlying. Without going too deep into the technical side of these digitals. Due to the liquidity of these options, a structurer creates these barrier options using call spreads.

The Greeks, what sensitiveness do traders look at?

Structured products are not static instruments. Once issued, they are dynamically hedged by the structuring or trading desk. The risk of these products is managed through sensitivities known as “Greeks,” which measure how the product’s value changes in response to variations in market parameters. Because most structured products embed optionality, understanding these sensitivities is crucial for risk management. Traders continuously monitor delta, gamma, vega, and theta in order to hedge their positions and control their P&L (Profit & Loss).

Delta

The delta measures the sensitivity of the product’s price to small changes in the underlying asset. For instance, if a product has a delta of 0.4, a one-unit increase in the underlying leads approximately to a 0.4 increase in the product’s value. In structured products, delta is rarely constant. For capital-protected products with upside participation, delta is positive but typically less than one. For yield products such as autocalls or reverse convertibles, delta can vary significantly depending on proximity to barriers. Autocalls structures often shows complex delta behavior. When the underlying approaches the autocall barrier, delta may increase sharply due to the higher probability of early redemption (if the product is triggered, the product ends, and there is no more delta-hedging since the investor is paid). Conversely, if the underlying approaches the capital protection barrier, delta can become more negative, reflecting increasing downside exposure. Trading desks hedge delta dynamically by buying or selling the underlying asset (or futures). Because delta changes continuously, hedging must be adjusted frequently, especially in volatile markets.

Gamma

Gamma measures the sensitivity of delta to changes in the underlying price (it is the second derivative of the product value with respect to the underlying). Gamma reflects how quickly delta changes. High gamma means that delta is unstable and requires frequent rebalancing. Same as the delta, structured products with embedded barrier options often exhibit high gamma near barrier levels. For example, when the underlying trades close to a knock-in or knock-out barrier, small price movements can significantly change the probability of barrier activation, causing sharp shifts in delta. In summary, gamma risk is particularly acute near maturity or near barrier levels.

Vega

Vega measures sensitivity to changes in implied volatility. Implied volatility is not the historical volatility, but the volatility that is anticipated by the market. This implied volatility affects, by a lot, option prices. Vega indicates how much the product’s value changes when market-implied volatility moves by one percentage point. Most structured products distributed to investors are structurally short volatility. This is because enhanced coupons are financed by selling optionality, such as puts. When implied volatility rises, the value of those short options increases, negatively impacting the product’s market value. An investor has to remember that during market crises, volatility spikes can significantly deteriorate the value of structured product inventories due to their short vega profile.

Theta

Finally, the last Greek that an investor must understand is Theta. It measures the sensitivity of the product’s value to the passage of time. It represents time decay. For a long option position, theta is typically negative, as options lose value over time. For a short option position, theta is positive, reflecting the fact that the seller benefits from time passing without adverse movement. For autocall products, time decay also influences the probability of early redemption. As maturity approaches, the distribution of potential outcomes narrows, and risk becomes more concentrated around barrier levels.

Why should I be interested in this post?

You may be interested in this article for several reasons. It summarizes a wide range of key concepts related to financial products. It will therefore be particularly useful if you are an investor seeking investment solutions aimed at growing your wealth. This article provides a solid foundation for understanding these products, which are very often misunderstood. Naturally, these investments involve risks, and I strongly encourage you to fully acknowledge them, as partial or total loss of capital may be associated with this type of product. This article will also help you understand how issuers design and structure these products.

Moreover, the number of structured products sold and issued has increased a lot for few years. According to SRP and their report on the European market, in 2020, the sales volume of structured products in Europe was about more than USD$75 billion, for less than 50 000 structured products issued. In 2024, the number of structured products issued rose to more than 350 000 and the sales volume exploded to reach more than USD$250 billions. Finally, this article may prove highly valuable if you are a student looking to build your knowledge of these financial products. It will also be beneficial if you are preparing for interviews for trading floor positions at investment banks or for roles as a structured products broker. All the elements covered in this article provide relevant material to help you prepare for the technical questions typically asked by recruiters.

[FL17.1]

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   ▶ Mathis HOUROU Client Segmentation and Private Banking: Marketing Strategy or Risk Shield?

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Useful resources

Yaël Eljarrat-Ouakni What is a Structured Product? Société Générale Private Banking France.

BNP Paribas Wealth Management (07/2021) Understanding Structured Products

Autorité des Marchés Financiers (AMF) (24/05/2025) 2025 Markets and Risk Outlook

SRP (18/03/2025) Global Market review 2024, Europe Market review 2024

Central Bank of Ireland (03/03/2023)MiFID Structured Retail Product Review – Supervisory Guidance (Decrement Index warnings)

About the author

The article was written in February 2026 by Jules HERNANDEZ (ESSEC Business School, Global Bachelor in Business Administration (GBBA), 2021-2025).

   ▶ Discover all articles by Jules HERNANDEZ.

Understanding Snowball Products: Payoff Structure, Risks, and Market Behavior

Tianyi WANG

In this article, Tianyi WANG (ESSEC Business School, Global Bachelor in Business Administration (GBBA), 2022-2026) explains the structure, payoff, and risks of Snowball products — one of the most popular and complex structured products in Asian financial markets.

Introduction

Structured products can be positioned along a broad risk–return spectrum.

Snowball Structure Product .
Snowball Structure Product
Source: public market data.

As shown in the figure below, Snowball Notes belong to the category of yield-enhancement products, typically offering annualized returns of around 8% to 15%. These products sit between capital-protected structures—which provide lower but more stable returns—and high-risk leveraged instruments such as warrants. This placement highlights a key feature of Snowballs: while they provide attractive coupons under normal market conditions, they come with conditional downside risk once the knock-in barrier is breached. Understanding this relative positioning helps explain why Snowballs are widely marketed during stable or range-bound markets but may expose investors to significant losses when volatility spikes.

Snowball options have become widely traded structured products in Asian equity markets, especially in China, Korea, and Hong Kong. They appeal to investors seeking stable returns in range-bound markets. However, their path-dependent nature and embedded option risks make them highly sensitive to market volatility. During periods of rapid market decline, many Snowball products experience “knock-in” events or even large losses.

To be more specific, a knock-in event occurs when the underlying asset’s price falls below (or rises above, depending on the product design) a predetermined barrier level during the life of the product. Once this barrier is breached, the Snowball option “activates” the embedded option exposure—typically converting what was originally a principal-protected or coupon-paying structure into one that behaves like a short option position. As a result, the investor becomes directly exposed to downside risks of the underlying asset, often leading to significant mark-to-market losses.

This article explains how Snowball products work, their payoff structure, the embedded risks, and how market behavior affects investor outcomes.

Who buys Snowball products?

Snowball products are purchased mainly by:

  • Retail investors — especially in mainland China and Korea, attracted by high coupons and the perception of stability.
  • High-net-worth individuals (HNWI) — through private banking channels.
  • Institutional investors — such as securities firms and structured product funds, often using Snowballs for yield enhancement.

Because Snowballs involve complex embedded options, they are considered unsuitable for inexperienced retail investors. Nevertheless, retail participation has grown significantly in Asian markets.

What is a Snowball product?

A Snowball is a structured product linked to an equity index (e.g., CSI 500, HSCEI) or a single stock. It provides a fixed coupon if the underlying asset stays within certain price barriers. The product contains three key components:

  • Autocall (Knock-out) — product terminates early at a profit if the underlying rises above a set level.
  • Knock-in — if the underlying falls below a certain barrier, the investor becomes exposed to downside risk.
  • Coupon payment — paid periodically as long as knock-in does not occur and knock-out does not trigger.

Snowballs earn steady income in stable markets, but losses can become severe when markets experience sharp declines.

The name “Snowball” comes from the idea of a snowball rolling downhill: it grows larger over time. In structured products, the coupon accumulates (or “rolls”) as long as the product does not knock-in or knock-out. As the months go by, the investor receives a growing stream of accrued coupons — similar to a snowball becoming bigger. However, like a snowball that can suddenly break apart if it hits an obstacle, the product can suffer significant losses once the knock-in barrier is breached.

Market behavior: what does it mean?

In the context of Snowball pricing and risk, “market behavior” refers to two dimensions:

  • Financial market behavior (price dynamics) — movements of the underlying index or stock, volatility levels, liquidity conditions, and short-term shocks. This includes trends such as rallies, range-bound phases, or sharp sell-offs that affect knock-in and knock-out probabilities.
  • Investor behavior — how different market participants react: hedging flows from issuers, panic selling during downturns, retail speculation, institutional risk reduction, and shifts in investor sentiment. These behaviors can reinforce price moves and alter Snowball risk.

Together, these elements form “market behavior”: the interaction between market movements and investor actions. For Snowballs, this directly affects whether the product pays coupons, knocks out early, or falls into knock-in and creates losses.

Key barriers in Snowball products

Knock-out (Autocall) barrier

If at any observation date the price exceeds the knock-out barrier (e.g., 103%), the product terminates early and investors receive principal plus accumulated coupons.

Knock-in barrier

If the price falls below the knock-in barrier (e.g., 80%), the product enters a risk state. If at maturity the price remains below the strike, the investor bears the underlying’s loss.

How Snowball payoffs work

The payoff of a Snowball is path-dependent, meaning it depends on the entire trajectory of the underlying index, not just the final price at maturity.

There are three typical outcomes:

Knock-out outcome (early exit)

If the underlying exceeds the knock-out level early, the investor receives:
Principal + accumulated coupons

No knock-in, no knock-out (maturity coupon)

If the underlying never crosses either barrier:
Principal + full coupons

Knock-in triggered (risky outcome)

If knock-in occurs and the final price ends below strike:
The investor bears the underlying loss

Thus, Snowballs deliver strong returns in stable or mildly rising markets but carry significant losses in bear markets.

Why Snowball products are risky

Although marketed as “income products,” Snowballs are essentially short-volatility strategies. The issuer sells downside protection to the investor in exchange for coupons.

Key risks include:

  • High volatility increases knock-in probability
  • Sharp declines lead to principal losses
  • Liquidity risk
  • Complex payoff makes risks hard to evaluate for retail investors

Case study: Why many Snowballs were hit in 2022–2023

During 2022–2023, Chinese equity markets — especially the CSI 500 and CSI 1000 — experienced large drawdowns due to geopolitical tensions, policy uncertainty, and weak economic recovery. Volatility spiked, and mid-cap indices saw rapid declines.

As a result:

  • Many Snowballs hit knock-in levels
  • Investors faced large mark-to-market losses
  • Issuers reduced new Snowball supply due to elevated volatility

This period highlights how market sentiment and volatility regimes directly impact structured product outcomes.

According to Bloomberg (January 2024), more than $13 billion worth of Chinese Snowball products were approaching knock-in triggers. A rapid decline in the CSI 1000 index pushed many products close to their 80% knock-in barrier.

Some investors experienced immediate 15–25% losses as the embedded short-put exposure was activated.

This real-world case demonstrates how quickly Snowball risk materializes when market volatility rises.

Snowball Take Out.
Snowball Take Out
Source: public market data.

How market behavior affects Snowball performance

Volatility

High volatility increases the likelihood of crossing both barriers.

Trend direction

  • Upward trends → more knock-outs
  • Range-bound markets → steady coupon income
  • Downward trends → knock-in risk and principal loss

Liquidity and investor flows

During sell-offs, Snowball hedging can amplify downward pressure, creating feedback loops.

Snowball knock-in chart.
Snowball knock-in chart
Source: public market data.

Explanation: The chart illustrates a steep market decline where the underlying index falls below its knock-in barrier. When such drawdowns occur rapidly, Snowball products transition into risk mode, immediately exposing investors to the underlying’s downside. This visualizes how market volatility and negative sentiment can activate the hidden risks in Snowball structures.

Conclusion

Snowball products are appealing due to their attractive coupons, but they involve significant downside risks during volatile markets. Understanding the path-dependent nature of their payoff, barrier mechanics, and market behavior is crucial for investors and product designers.

By analyzing Snowball structures, investors gain deeper insight into how derivative products are created, priced, and risk-managed in real financial markets.

Related posts on the SimTrade blog

   ▶ Shengyu ZHENG Barrier Options

   ▶ Slah BOUGHATTAS Book by Slah Boughattas: State of the Art in Structured Products

   ▶ Akshit GUPTA Equity Structured Products

About the author

The article was written in November 2025 by Tianyi WANG (ESSEC Business School, Global Bachelor in Business Administration (GBBA), 2022-2026).

Book by Slah Boughattas: State of the Art in Structured Products

Slah Boughattas

In this post, Slah BOUGHATTAS (Ph.D., Associate of the Chartered Institute for Securities & Investment (CISI), London) provides an extract from the book ‘State of the Art in Structured Products: Fundamentals, Designing, Pricing, and Hedging’ (2022).

This post presents pedagogical philosophy, structure, and target audience, including graduate students in finance, university professors, and practitioners in derivatives and structured products.

State of the Art in Structured Products: Fundamentals, Designing, Pricing, and Hedging
 State of the Art in Structured Products: Fundamentals, Designing, Pricing, and Hedging
Source: the company.

Summary of the book

The book aims to provide both the theoretical background and the practical applications of structured products in modern financial markets. It systematically explores the fundamentals of derivatives, equity and interest rate markets, stochastic calculus, Monte Carlo simulations, Constant Proportion Portfolio Insurance (CPPI), risk management, and the financial engineering processes involved in designing, pricing, and hedging structured products.

Financial concepts related to the book

Structured Products, Derivatives, Options, Swaps, Structured Notes, Bonus certificates, Constant Proportion Portfolio Insurance (CPPI), Monte Carlo Simulation, Fixed Income, Floating Rate-Note (FRN), Reverse FRN, CMS-Linked Notes, Callable Bond, Financial Engineering, Risk Management, Pricing, and Hedging.

Context and Motivation

The financial engineering of structured products remains one of the most sophisticated domains of quantitative finance. While the literature on derivatives pricing is vast, comprehensive references specifically dedicated to the end-to-end process of structured product creation — designing, pricing, and hedging — remain scarce.

State of the Art in Structured Products bridges this gap. The work is structured to serve both as a teaching manual and a professional reference, progressively building from fundamental principles to advanced practical implementations.

Structure of the Book

  • Derivatives Fundamentals and Market Instruments – recalls the essential mechanics of equity and interest-rate derivatives
  • Designing Structured Products – shows how term sheets and payoff structures emerge logically from financial objectives
  • Pricing and Risk Analysis – provides analytical and simulation-based approaches, including Monte Carlo method
  • Hedging and Risk Management – explores dynamic replication, sensitivities, and practical hedging of structured notes.
  • Advanced Topics – covers Constant Proportion Portfolio Insurance (CPPI), callable and floating-rate instruments, and swaptions

Why should I be interested in this post?

The book’s main contribution lies in its integrated approach combining conceptual clarity, quantitative rigor, and practical implementation examples. It is intended for professors and instructors of Master’s programs in Finance, graduate students specializing in derivatives or structured products, and professionals such as financial engineers, product controllers, traders, dealing room staff and salespeople, risk managers, quantitative analysts, middle office managers, fund managers, investors, senior managers, research and system developers.

The book is currently referenced in several academic libraries, including ESSEC Business School Paris, Princeton University, London School of Economics, HEC Montreal, Erasmus University Rotterdam, ETH Zurich, IE University, Erasmus University Rotterdam, and NTU Singapore.

Related posts on the SimTrade blog

   ▶ Mahé FERRET Selling Structured Products in France

   ▶ Akshit GUPTA Equity Structured Products

   ▶ Youssef LOURAOUI Interest rate term structure and yield curve calibration

   ▶ Jayati WALIA Brownian Motion in Finance

   ▶ Shengyu ZHENG Capital Guaranteed Products

   ▶ Shengyu ZHENG Reverse Convertibles

Useful resources

Slah Boughattas (2022) State of the Art in Structured Products: Fundamentals, Designing, Pricing, and Hedging Advanced Education in Financial Engineering Editions.

About the author

The article was written in November 2025 by Slah BOUGHATTAS (Ph.D., Associate of the Chartered Institute for Securities & Investment (CISI), London).

Selling Structured Products in France

Mahe FERRET

In this article, Mahé FERRET (ESSEC Business School, Global Bachelor in Business Administration (GBBA), 2022-2026) explains the appeal and challenges of selling structured products in France.

Introduction

Structured products are investment products combining traditional assets (stocks, bonds, indexes…) with derivatives (options, futures…) to offer customized returns tailored to an investor’s risk profile.

In recent years, structured products have gained popularity due to persistent low interest rates and increased market volatility. For instance, buffered ETFs reached $43.4 billion in assets in 2024 according to N.S Huang (Kiplinger, 2024). In France, the market has grown significantly, reaching €42 billion in 2023, an 82% increase over two years, showing investors’ interest in higher returns with safety. Sales teams in investment banks actively seek to answer this demand by offering structured solutions to wealth managers, private banks and institutional investors, using payoff strategies and risk scenarios to support which product to choose.

Why Structured Products Appeal to French Investors

These products are particularly interesting for France’s investment culture, known for capital protection and an income preference due to low interest rates and relatively more risk-averse type of investors. The structured products appeal to French investors as they aim to protect the initial investments and offer higher returns than traditional bonds.

Capital protection means that an investor will not lose their initial investment, even if the market is dropping, and will earn a profit if the market performs well. As an example, BNP Paribas offers Capital Protection Notes (CPNs) tied to the S&P500 that guarantees the initial investment amount at maturity and 130% of the average performance of the index if it rises. If the index’s performance is zero or negative, the investor will only receive its capital back, with no additional return. In client meetings, sales professionals use scenario simulations and historical data to demonstrate the potential returns under different market conditions. Another type of structured product that could interest sustainable caring French investors could be an ESG (Environmental, Social, Governance) note tied to a renewable energy index. As an example, an ESG-linked structured product is tied to indices like the Euronext Eurozone ESG Large 80 Index, with a fixed or conditional coupon of 3 to 5% annually and a maturity of usually 5 to 8 years. With the increasing demand for these products, ESG investments are more and more promoted by Sales through a sustainable aspect, especially to family offices and pension funds committed to responsible investing. ESG products include ESG factors while still using traditional assets like stocks, allowing investors to search for both financial returns and positive societal impact. They often include stock from companies with already strong ESG processes, green bonds supporting environmental projects or derivatives linked to sustainability indicators.

Regulatory Environment in France

In France, the Autorité des marchés financiers (AMF) regulates the sales of structured products to ensure fairness and transparency. These products are complex, and regulations like PRIIPs (Packaged retail and insurance-based investment products) require a Key Information Document (KID) to explain them in simple terms. MiFID II (Markets in Financial Instruments Directive II) also mandates clear disclosure of risks and costs. ESG products, in particular, are under scrutiny to prevent greenwashing. It is an important aspect for the Sales team to consider, as they must respect regulatory requirements at every step with the clients, from pre-trade client conversations to post-sale documentation, and integrate it into their sales pitch.

Client Segments and Tailored Offerings

As complex as these products can be, one of their benefits is that they can be tailored to each investor’s profile risk (more or less tolerance to risk). The structured products can be ideal for retail investors needing safe products. A retail investor could be a retiree seeking a complementary source of revenue and would seek a PPN guaranteeing €10,000 principal with a 3% coupon if the CAC 40 stays flat or rises. The product can be chosen according to the risk level and could be a principal-protected note (PPN), for safer investments. However, less risk-averse investors could seek customized high-return options like a Rainbow note (a derivative-based product designed to offer potential returns based on the performance of a basket of assets, often with a focus on the best or worst performers within that basket) and institutions would need complex products for portfolio strategies like a buffered note. A rainbow note is a product linked to at least two assets and answers a diversification benefit, with a growth and stability balance. Sales teams must match the product structure to the investor’s objectives by collaborating with structuring desks (Department of the trading room that creates the structure that best fits the demands of the client) and traders to design personalized solutions. For a pension fund, a buffered note, designed to allow you to earn a return based on the performance of a stock but with a “buffer” to protect from some losses, offers risk management characteristics, with protection against the first 10% of losses on a global equity index.

Benefits

Structured financial products offer several advantages that make them attractive to a wide range of investors. From a sales perspective, they are attractive tools to meet a client’s needs with a lot of advantages. First, they often include capital protection, meaning that even if the underlying asset’s performance declines, the investor’s capital will be preserved at a predetermined protection level. Additionally, these products can provide regular income, but only to the extent that specific market conditions are met during the investment period. Structured products also allow investors to bet on market volatility, meaning that the products’ prices tend to fall when volatility rises. This creates an opportunity to buy low during periods of high volatility and sell when the volatility declines. Furthermore, these instruments both answer the client’s investment preferences and the diversification potential by offering many investment options across different asset classes. Sales professionals often highlight how these products provide a unique combination of stability and performance that standard products cannot offer.

Challenges

Structured products, despite their benefits, also present common obstacles for investors and for the sales team. Sales must be able to clearly explain these risks using simplified language to make it understandable to even non-expert clients. First, there is the issuer’s risk. Since these tools are issued by banks or other intermediaries, there is a risk that the issuer becomes insolvent or unable to meet its obligations, and the investor may not receive their returns at maturity. There is also an underlying risk, as the value of a structured product depends directly on the performance of the underlying asset, which is subject to high volatility. In extreme cases, the product’s value could go to zero if the asset performs poorly. A second aspect is sometimes the lack of liquidity that can be common for such unique products. Although some products are listed and supported by market makers there is no guarantee of continuous availability in the market. Investors may have difficulties buying or selling the product before maturity, which could lead to unexpected losses due to the absence of market participants at the time of the transaction. Finally, the product can be seen as complex because they are multi-layered, combining different asset types (indices, funds) with different payoff conditions and risk levels.

Complexity of a basket of equity indices.
Complexity of a basket of equity indices
Source: AMF.

On this graph, each added asset increases the product’s complexity, making it harder to assess risk, performance and transparency. An investor needs then to evaluate each asset but also their own impact within a basket.

Why should I be interested in this post?

As an ESSEC student interested in business and finance, I found that learning about structured products really helped me understand how financial institutions create investment solutions based on different risk profiles. They’re a great example of how finance can combine both protection and performance. For anyone considering a career in sales, asset management, or investment banking, getting familiar with these products is a great way to build practical knowledge and better understand how finance works in the real world.

Related posts on the SimTrade blog

   ▶ Akshit GUPTA Equity structured products

   ▶ Dante MARRAMIERO Structured debt, private equity, rated feeder funds, collateral fund obligations

   ▶ Shengyu ZHENG Capital guaranteed products

   ▶ Jayati WALIA Fixed income products

Useful resources

AMF & ACPR Analysis of the French structured product market

Kiplinger Buffered ETFs: What are they and should you invest in one?

Itransact BNP PARIBAS S&P 500 100% CAPITAL PROTECTED NOTE 5

Yassien Yousfi ESG structured products: challenges and opportunities

Klara Gjorga Equity Derivatives and Structured Products Sales

Line Grinden Quinn – Structured Products: Sound strategy or sales pitch?

About the author

The article was written in June 2025 by Mahe FERRET (ESSEC Business School, Global Bachelor in Business Administration (GBBA), 2022-2026).

Reverse Convertibles

Shengyu ZHENG

In this article, Shengyu ZHENG (ESSEC Business School, Grande Ecole Program – Master in Management, 2020-2023) explains reverse convertibles, which are a structured product with a fixed-rate coupon and downside risk.

Introduction

The financial market has been ever evolving, witnessing the birth and flourish of novel financial instruments to cater to the diverse needs of market participants. On top of plain vanilla derivative products, there are exotic ones (e.g., barrier options, the simplest and most traded exotic derivative product). Even more complex, there are structured products, which are essentially the combination of vanilla or exotic equity instruments and fixed income instruments.

Amongst the structured products, reverse convertible products are one of the most popular choices for investors. Reverse convertible products are non-principal protected products linked to the performance of an underlying asset, usually an individual stock or an index, or a basket of them. Clients can enter into a position of a reverse convertible with the over-the-counter (OTC) trading desks in major investment banks.

In exchange for an above-market coupon payment, the holder of the product gives up the potential upside exposure to the underlying asset. The exposure to the downside risks still remains. Reserve convertibles are therefore appreciated by the investors who are anticipating a stagnation or a slightly upward market trend.

Construction of a reverse convertible

This product could be decomposed in two parts:

  • On the one hand, the buyer of the structure receives coupons on the principal invested and this could be considered as a “coupon bond”;
  • On the other hand, the investor is still exposed to the downside risks of the underlying asset and foregoes the upside gains, and this could be achieved by a short position of a put option (either a vanilla put option or a down-and-in barrier put option).

Positions of the parties of the transaction

A reverse convertible involves two parties in the transaction: a market maker (investment bank) and an investor (client). Table 1 below describes the positions of the two parties at different time of the life cycle of the product.

Table 1. Positions of the parties of a reverse convertible transaction

t Market Maker (Investment Bank) Investor (Client)
Beginning
  • Enters into a long position of a put (either a vanilla put or a down-and-in barrier put)
  • Receives the nominal amount for the “coupon” part
  • Invests in the amount (nominal amount plus the premium of the put) in risk-free instruments
  • Enters into a short position of a put (either a vanilla put or a down-and-in barrier put)
  • Pays the nominal amount for the “coupon” part
Interim
  • Pays pre-specified interim coupons in respective interim coupon payment dates (if any)
  • Receives interest payment from risk-free investments
  • Receives the pre-specified interim coupons in respective interim coupon payment dates (if any)
End
  • Receives the payoff (if any) of the put option component
  • Pays the pre-specified final coupon in the final coupon payment date
  • Pays the payoff (if any) of the put option component
  • Receives the pre-specified final coupon in the final coupon payment date

Based on the type of the put option incorporated in the product (either plain vanilla put option or down-and-in barrier put option), reserve convertibles could be categorized as plain or barrier reverse convertibles. Given the difference in terms of the composition of the structured product, the payoff and pricing mechanisms diverge as well.

Here is an example of a plain reverse convertible with following product characteristics and market information.

Product characteristics:

  • Investment amount: USD 1,000,000.00
  • Underlying asset: S&P 500 index (Bloomberg Code: SPX Index)
  • Investment period: from August 12, 2022 to November 12, 2022 (3 months)
  • Coupon rate: 2.50% (quarterly)
  • Strike level : 100.00% of the initial level

Market data:

  • Current risk-free rate: 2.00% (annualized)
  • Volatility of the S&P 500 index: 13.00% (annualized)

Payoff of a plain reverse convertible

As is presented above, a reverse convertible is essentially a combination of a short position of a put option and a long position of a coupon bond. In case of the plain reverse convertible product with the aforementioned characteristics, we have the blow payoff structure:

  • in case of a rise of the S&P 500 index during the investment period, the return for the reverse convertible remains at 2.50% (the coupon rate);
  • in case of a drop of the S&P 500 index during the investment period, the return would be equal to 2.50% minus the percentage drop of the underlying asset and it could be negative if the percentage drop is greater than 2.5%.

Figure 1. The payoff of a plain reverse convertible on the S&P 500 index
Payoff of a plain reverse convertible
Source: Computation by author.

Pricing of a plain reverse convertible

Since a reverse convertible is essentially a structured product composed of a put option and a coupon bond, the pricing of this product could also be decomposed into these two parts. In terms of the pricing a vanilla option, the Black–Scholes–Merton model could do the trick (see Black-Scholes-Merton option pricing model) and in terms of pricing a barrier option, two methods, analytical formula method and Monte-Carlo simulation method, could be of help (see Pricing barrier options with analytical formulas; Pricing barrier options with simulations and sensitivity analysis with Greeks).

With the given parameters, we can calculate, as follows, the margin for the bank with respect to this product. The calculated margin could be considered as the theoretical price of this product.

Table 2. Margin for the bank for the plain reverse convertible
Margin for the bank for the plain reverse convertible
Source: Computation by author.

Download the Excel file to analyze reverse convertibles

You can find below an Excel file to analyze reverse convertibles.
Download Excel file to analyze reverse convertibles

Why should I be interested in this post

As one of the most traded structured products, reverse convertibles have been an important instrument used to secure return amid mildly negative market prospect. It is, therefore, helpful to understand the product elements, such as the construction and the payoff of the product and the targeted clients. This could act as a steppingstone to financial product engineering and risk management.

Related posts on the SimTrade blog

All posts about options

▶ Jayati WALIA Black-Scholes-Merton option pricing model

▶ Akshit GUPTA The Black Scholes Merton Model

▶ Shengyu ZHENG Barrier options

▶ Shengyu ZHENG Pricing barrier options with analytical formulas

▶ Shengyu ZHENG Pricing barrier options with simulations and sensitivity analysis with Greeks

Resources

Academic references

Broadie, M., Glasserman P., Kou S. (1997) A Continuity Correction for Discrete Barrier Option. Mathematical Finance, 7:325-349.

De Bellefroid, M. (2017) Chapter 13 (Barrier) Reverse Convertibles. The Derivatives Academy. Accessible at https://bookdown.org/maxime_debellefroid/MyBook/barrier-reverse-convertibles.html

Haug, E. (1997) The Complete Guide to Option Pricing. London/New York: McGraw-Hill.

Hull, J. (2006) Options, Futures, and Other Derivatives. Upper Saddle River, N.J: Pearson/Prentice Hall.

Merton, R. (1973). Theory of Rational Option Pricing. The Bell Journal of Economics and Management Science, 4:141-183.

Paixao, T. (2012) A Guide to Structured Products – Reverse Convertible on S&P500

Reiner, E. S. (1991) Breaking down the barriers. Risk Magazine, 4(8), 28–35.

Rich, D.R. (1994) The Mathematical Foundations of Barrier Option-Pricing Theory. Advances in Futures and Options Research: A Research Annual, 7, 267-311.

Business references

Six Structured Products. (2022). Reverse Convertibles et barrier reverse Convertibles

About the author

The article was written in August 2022 by Shengyu ZHENG (ESSEC Business School, Grande Ecole Program – Master in Management, 2020-2023).