{"id":11519,"date":"2023-06-06T15:13:57","date_gmt":"2023-06-06T14:13:57","guid":{"rendered":"https:\/\/www.simtrade.fr\/blog_simtrade\/?p=11519"},"modified":"2026-02-10T23:00:54","modified_gmt":"2026-02-10T23:00:54","slug":"omx-copenhagen-25-omxc25-index","status":"publish","type":"post","link":"https:\/\/www.simtrade.fr\/blog_simtrade\/omx-copenhagen-25-omxc25-index\/","title":{"rendered":"The OMX Copenhagen 25 (OMXC 25) index"},"content":{"rendered":"<p><a href=\"https:\/\/www.linkedin.com\/in\/nithishachalla\/\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" style=\"padding: 5px;\" src=\"https:\/\/www.simtrade.fr\/blog_simtrade\/wp-content\/uploads\/2023\/03\/img_SimTrade_Photo1_Nithisha_Challa.jpg\" alt=\"Nithisha CHALLA\" width=\"133\" align=\"right\" \/><\/a><\/p>\n<p>In this article, <a href=\"https:\/\/www.linkedin.com\/in\/nithishachalla\/\" target=\"_blank\" rel=\"noopener\">Nithisha CHALLA<\/a> (ESSEC Business School, <i>Grande Ecole<\/i> Program &#8211; Master in Management, 2021-2023) presents the OMX Copenhagen 25 (OMXC25 or OMXC 25) index representing the Danish equity market and details its characteristics.<\/p>\n<h2>The OMX Copenhagen 25 index<\/h2>\n<p>The 25 biggest and busiest companies listed on Nasdaq Copenhagen, the main stock exchange in Denmark, make up the OMX Copenhagen 25 (OMXC 25) index, which is a market-capitalization-weighted index. With 1,000 points as the base point, the index was introduced on December 4th, 1996.<\/p>\n<p>Nasdaq Copenhagen chooses the stocks for the OMXC 25 index, taking into account elements like market capitalization, liquidity, and free float. To maintain its representation of the Danish stock market, the index is reviewed twice a year, in June and December, and rebalanced as necessary.<\/p>\n<p>The OMXC 25 is a market-capitalization-weighted index, which means that the index&#8217;s weight is based on the market capitalization of each company. This increases the OMXC 25&#8217;s comparability to the Danish market as a whole.<\/p>\n<p>Investors and analysts pay close attention to the performance of the OMXC 25 index, which is widely used as a benchmark for the Danish stock market. Through financial products like exchange-traded funds (ETFs) and index funds that follow the OMXC 25 index, investors can gain exposure to the Danish market. The ticker symbol &#8220;OMXC25&#8221; is frequently used in trading platforms and financial websites to denote the OMXC 25 index.<\/p>\n<p>Table 1 below gives the Top 10 stocks in the OMXC 25 index in terms of market capitalization as of January 31, 2023.<\/p>\n<p style=\"text-align: center;\">Table 1. Top 10 stocks in the OMXC 25 index.<br \/>\n<img decoding=\"async\" src=\"https:\/\/www.simtrade.fr\/blog_simtrade\/wp-content\/uploads\/2023\/06\/img_SimTrade_OMXC_25_index_top_10_stocks.png\" alt=\"Top 10 stocks in the OMXC 25 index\" width=\"500\" \/><br \/>\nSource: computation by the author (data: Yahoo! Finance website).<\/p>\n<p>Table 2 below gives the sector representation of the OMXC 25 index in terms of number of stocks and market capitalization as of January 31, 2023.<\/p>\n<p style=\"text-align: center;\">Table 2. Sector representation in the OMXC 25 index.<br \/>\n<img decoding=\"async\" src=\"https:\/\/www.simtrade.fr\/blog_simtrade\/wp-content\/uploads\/2023\/06\/img_SimTrade_OMXC_25_index_sector_representation.png\" alt=\"Sector representation in the OMXC 25 index\" width=\"500\" \/><br \/>\nSource: computation by the author (data: Yahoo! Finance website).<\/p>\n<h2>Calculation of the OMXC 25 index value<\/h2>\n<p>The performance of the 25 most actively traded and highly capitalized companies listed on the Danish Nasdaq Copenhagen stock exchange is reflected in the OMX Copenhagen 25 (OMXC 25) index, which is a float-adjusted market-capitalization-weighted index. The index is evaluated twice a year by Nasdaq Copenhagen and includes businesses from a variety of industries, including technology, healthcare, and finance. Each year, the index is rebalanced in June and December, and the companies that make up the index are chosen using criteria like market capitalization, trading volume, and free float.<\/p>\n<p>The formula to compute the OMXC 25 index is given by<\/p>\n<p style=\"text-align: center;\"><img decoding=\"async\" src=\"https:\/\/www.simtrade.fr\/blog_simtrade\/wp-content\/uploads\/2023\/03\/img_SimTrade_Float_Adjusted_Market_Capitalization_Weighted_Index_value.png\" alt=\"Float Adjusted Market Capitalization Index value\" width=\"300\" \/><\/p>\n<p>where I is the index value, k a given asset, K the number of assets in the index, P<sup>k<\/sup> the market price of asset k, N<sup>k<\/sup> the number of issued shares for asset k, F<sup>k<\/sup> the float factor of asset k, and t the time of calculation of the index.<\/p>\n<p>In a float-adjusted market-capitalization-weighted index, the weight of asset k is given by<\/p>\n<p style=\"text-align: center;\"><img decoding=\"async\" src=\"https:\/\/www.simtrade.fr\/blog_simtrade\/wp-content\/uploads\/2023\/03\/img_SimTrade_Float_Adjusted_Market_Capitalization_Weighted_Index_weight.png\" alt=\"Float Adjusted Market Capitalization Weighted Index Weight\" width=\"230\" \/><\/p>\n<h2>Use of the OMXC 25 index in asset management<\/h2>\n<p>A common benchmark used by investors to evaluate the performance of their investment portfolios in relation to the Danish stock market is the OMXC 25 index. Investors and analysts can learn a lot about the state of the Danish economy overall and the performance of important industries like technology, healthcare, and industrials by closely following the changes in the OMXC 25 index. Through ticker symbols like &#8220;OMXC25&#8221; or &#8220;OMXC25.CO,&#8221; the index is frequently mentioned in financial news outlets and is readily available to investors and traders worldwide.<\/p>\n<h3>Benchmark for equity funds<\/h3>\n<p>The performance of the top 25 companies listed on the Copenhagen Stock Exchange (Nasdaq Copenhagen) is represented by the OMXC 25 index, but it does not fully represent the size of the Danish equity market. Because of this, investors seeking a more thorough representation of the Danish market may want to think about other, wider market indices, like the OMXC 25 or the OMXC All-Share.<\/p>\n<p>The 25 most active and liquid companies listed on Nasdaq Copenhagen are included in the OMXC 25 index, which offers a more comprehensive view of the Danish market. The OMXC All-Share index, on the other hand, provides a more thorough overview of the Danish equity market as a whole and covers a wider range of companies, including both large and small caps. In order to accurately track their performance and align it with their investment goals in the Danish market, investors should carefully assess their investment objectives and strategies to determine the most appropriate benchmark index.<\/p>\n<h3>Financial products around the OMXC 25 index<\/h3>\n<p>With the help of the OMXC 25 index, these financial products give investors the chance to diversify their portfolios, get exposure to the Danish stock market, and perhaps even profit from market fluctuations.<\/p>\n<p>Some of the main financial products associated with the OMXC 25 index are:<\/p>\n<ul>\n<li>Exchange-Traded Funds (ETFs): ETFs, which are traded on stock exchanges like individual stocks, allow investors access to the OMXX 25 index. ETFs that track the performance of the OMXC 25 index, like the iShares OMXC 25 UCITS ETF and the Xact OMXC 25 ETF, give investors a broad view of the Danish market.<\/li>\n<li>Options and Futures Contracts: Investors can purchase or sell the OMXC 25 index through options and futures contracts that are linked to the index at a specified price and future date. These derivative contracts can be used for hedging, speculation, and portfolio management, among other things.<\/li>\n<li>Mutual Funds and Index Funds: A few mutual funds and index funds concentrate their investments in businesses that are part of the OMXX 25 index or seek to match its performance. With the help of these funds, investors now have an easy way to expose themselves to a diverse portfolio of Danish stocks.<\/li>\n<\/ul>\n<h2>Historical data for the OMXC 25 index<\/h2>\n<h3>How to get the data?<\/h3>\n<p>The OMXC 25 index is the most common index used in finance, and historical data for the OMXC 25 index can be easily downloaded from the internet.<\/p>\n<p>For example, you can download data for the OMXC 25 index from December 19, 2016 on <a href=\"https:\/\/finance.yahoo.com\/quote\/%5EN225\" target=\"_blank\" rel=\"noopener\">Yahoo! Finance<\/a> (the Yahoo! code for OMXC 25 index is ^OMXC25).<\/p>\n<p style=\"text-align: center;\"><img decoding=\"async\" src=\"https:\/\/www.simtrade.fr\/blog_simtrade\/wp-content\/uploads\/2023\/06\/img_SimTrade_Yahoo_finance_OMXC_25_index.png\" alt=\"Yahoo! Finance\" width=\"500\" \/><br \/>\nSource: Yahoo! Finance.<\/p>\n<p>You can also download the same data from a Bloomberg terminal.<\/p>\n<h3>R program<\/h3>\n<p>The R program below written by <a href=\"https:\/\/www.simtrade.fr\/blog_simtrade\/author\/szheng\/\" target=\"_parent\" rel=\"noopener\">Shengyu ZHENG<\/a> allows you to download the data from Yahoo! Finance website and to compute summary statistics and risk measures about the OMXC 25 index.<\/p>\n<p><a href=\"https:\/\/www.simtrade.fr\/blog_simtrade\/wp-content\/uploads\/2023\/02\/Financial_data_SP500_analysis.txt\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" class=\"aligncenter\" style=\"padding: 3px;\" title=\"R code to analyze financial data SP500 index\" src=\"https:\/\/www.simtrade.fr\/blog_simtrade\/wp-content\/uploads\/2022\/07\/img_SimTrade_Btn_Download_R_file_US.png\" alt=\"Download R file\" width=\"200\" align=\"center\" \/><\/a><\/p>\n<h3>Data file<\/h3>\n<p>The R program that you can download above allows you to download the data for the OMXC 25 index from the Yahoo! Finance website. The database starts on December 19, 2016. It also computes the returns (logarithmic returns) from closing prices.<\/p>\n<p>Table 3 below represents the top of the data file for the OMXC 25 index downloaded from the Yahoo! Finance website with the R program.<\/p>\n<p style=\"text-align: center;\">Table 3. Top of the data file for the OMXC 25 index.<br \/>\n<img decoding=\"async\" src=\"https:\/\/www.simtrade.fr\/blog_simtrade\/wp-content\/uploads\/2023\/06\/img_SimTrade_OMXC_25_index_top_data_file.png\" alt=\"Top of the file for the OMXC 25 index data\" width=\"600\" \/><br \/>\nSource: computation by the author (data: Yahoo! Finance website).<\/p>\n<h2>Evolution of the OMXC 25 index<\/h2>\n<p>Figure 1 below gives the evolution of the OMXC 25 index from December 19, 2016 to December 30, 2022 on a daily basis.<\/p>\n<p style=\"text-align: center;\">Figure 1. Evolution of the OMXC 25 index.<br \/>\n<img decoding=\"async\" src=\"https:\/\/www.simtrade.fr\/blog_simtrade\/wp-content\/uploads\/2023\/06\/img_SimTrade_OMXC_25_index_value_evolution.png\" alt=\"Evolution of the OMXC 25 index\" width=\"600\" \/><br \/>\nSource: computation by the author (data: Yahoo! Finance website).<\/p>\n<p>Figure 2 below gives the evolution of the OMXC 25 index returns from December 19, 2016 to December 30, 2022 on a daily basis.<\/p>\n<p style=\"text-align: center;\">Figure 2. Evolution of the OMXC 25 index returns.<br \/>\n<img decoding=\"async\" src=\"https:\/\/www.simtrade.fr\/blog_simtrade\/wp-content\/uploads\/2023\/06\/img_SimTrade_OMXC_25_index_returns_evolution.png\" alt=\"Evolution of the OMXC 25 index return\" width=\"600\" \/><br \/>\nSource: computation by the author (data: Yahoo! Finance website).<\/p>\n<h2>Summary statistics for the OMXC 25 index<\/h2>\n<p>The R program that you can download above also allows you to compute summary statistics about the returns of the OMXC 25 index.<\/p>\n<p>Table 4 below presents the following summary statistics estimated for the OMXC 25 index:<\/p>\n<ul>\n<li>The mean<\/li>\n<li>The standard deviation (the squared root of the variance)<\/li>\n<li>The skewness<\/li>\n<li>The kurtosis.<\/li>\n<\/ul>\n<p>The mean, the standard deviation \/ variance, the skewness, and the kurtosis refer to the first, second, third and fourth moments of statistical distribution of returns respectively.<\/p>\n<p style=\"text-align: center;\">Table 4. Summary statistics for the OMXC 25 index.<br \/>\n<img decoding=\"async\" src=\"https:\/\/www.simtrade.fr\/blog_simtrade\/wp-content\/uploads\/2023\/06\/img_SimTrade_OMXC_25_index_summary_statitics.png\" alt=\"Summary statistics for the OMXC 25 index \" width=\"400\" \/><br \/>\nSource: computation by the author (data: Yahoo! Finance website).<\/p>\n<h2>Statistical distribution of the OMXC 25 index returns<\/h2>\n<h3>Historical distribution<\/h3>\n<p>Figure 3 represents the historical distribution of the OMXC 25 index daily returns for the period from December 19, 2016 to December 30, 2022.<\/p>\n<p style=\"text-align: center;\">Figure 3. Historical distribution of the OMXC 25 index returns.<br \/>\n<img decoding=\"async\" src=\"https:\/\/www.simtrade.fr\/blog_simtrade\/wp-content\/uploads\/2023\/06\/img_SimTrade_OMXC_25_index_Historical_distribution.png\" alt=\"Historical distribution of the daily OMXC 25 index returns\" width=\"600\" \/><br \/>\nSource: computation by the author (data: Yahoo! Finance website).<\/p>\n<h3>Gaussian distribution<\/h3>\n<p>The Gaussian distribution (also called the normal distribution) is a parametric distribution with two parameters: the mean and the standard deviation of returns. We estimated these two parameters over the period from December 19, 2016 to December 30, 2022. The mean of daily returns is equal to 0.02% and the standard deviation of daily returns is equal to 1.37% (or equivalently 3.94% for the annual mean and 28.02% for the annual standard deviation as shown in Table 3 above).<\/p>\n<p>Figure 4 below represents the Gaussian distribution of the OMXC 25 index daily returns with parameters estimated over the period from December 19, 2016 to December 30, 2022.<\/p>\n<p style=\"text-align: center;\">Figure 4. Gaussian distribution of the OMXC 25 index returns.<br \/>\n<img decoding=\"async\" src=\"https:\/\/www.simtrade.fr\/blog_simtrade\/wp-content\/uploads\/2023\/06\/img_SimTrade_OMXC_25_index_Gaussian_distribution.png\" alt=\"Gaussian distribution of the daily OMXC 25 index returns\" width=\"600\" \/><br \/>\nSource: computation by the author (data: Yahoo! Finance website).<\/p>\n<h2>Risk measures of the OMXC 25 index returns<\/h2>\n<p>The R program that you can download above also allows you to compute risk measures about the returns of the OMXC 25 index.<\/p>\n<p>Table 5 below presents the following risk measures estimated for the OMXC 25 index:<\/p>\n<ul>\n<li>The long-term volatility (the unconditional standard deviation estimated over the entire period)<\/li>\n<li>The short-term volatility (the standard deviation estimated over the last three months)<\/li>\n<li>The Value at Risk (VaR) for the left tail (the 5% quantile of the historical distribution)<\/li>\n<li>The Value at Risk (VaR) for the right tail (the 95% quantile of the historical distribution)<\/li>\n<li>The Expected Shortfall (ES) for the left tail (the average loss over the 5% quantile of the historical distribution)<\/li>\n<li>The Expected Shortfall (ES) for the right tail (the average loss over the 95% quantile of the historical distribution)<\/li>\n<li>The Stress Value (SV) for the left tail (the 1% quantile of the tail distribution estimated with a Generalized Pareto distribution)<\/li>\n<li>The Stress Value (SV) for the right tail (the 99% quantile of the tail distribution estimated with a Generalized Pareto distribution)<\/li>\n<\/ul>\n<p style=\"text-align: center;\">Table 5. Risk measures for the OMXC 25 index.<br \/>\n<img decoding=\"async\" src=\"https:\/\/www.simtrade.fr\/blog_simtrade\/wp-content\/uploads\/2023\/06\/img_SimTrade_OMXC_25_index_risk_measures.png\" alt=\"Risk measures for the OMXC 25 index \" width=\"500\" \/><br \/>\nSource: computation by the author (data: Yahoo! Finance website).<\/p>\n<p>The volatility is a global measure of risk as it considers all the returns. The Value at Risk (VaR), Expected Shortfall (ES) and Stress Value (SV) are local measures of risk as they focus on the tails of the distribution. The study of the <em>left<\/em> tail is relevant for an investor holding a <em>long<\/em> position in the OMXC 25 index while the study of the <em>right<\/em> tail is relevant for an investor holding a <em>short<\/em> position in the OMXC 25 index.<\/p>\n<h2>Why should I be interested in this post?<\/h2>\n<p>Students can gain a thorough understanding of industry dynamics, market competition, and the interplay of various factors that affect business success in Denmark by studying the OMXC 25 index. Investors can compare the performance of their portfolios to that of the larger Danish stock market using the OMXC 25 index as a benchmark. In addition to reflecting investor sentiment toward Denmark&#8217;s biggest and most actively traded companies, it offers a snapshot of the market&#8217;s health.<\/p>\n<h2>Related posts on the SimTrade blog<\/h2>\n<h3>About financial indexes<\/h3>\n<p>\u25b6 Nithisha CHALLA <a href=\"https:\/\/www.simtrade.fr\/blog_simtrade\/financial-indexes\/\" target=\"_parent\" rel=\"noopener\"> Financial indexes<\/a><\/p>\n<p>\u25b6 Nithisha CHALLA <a href=\"https:\/\/www.simtrade.fr\/blog_simtrade\/calculation-of-financial-indexes\/\" target=\"_parent\" rel=\"noopener\">Calculation of financial indexes<\/a><\/p>\n<p>\u25b6 Nithisha CHALLA <a href=\"https:\/\/www.simtrade.fr\/blog_simtrade\/the-business-of-financial-indexes\/\" target=\"_parent\" rel=\"noopener\">The business of financial indexes<\/a><\/p>\n<p>\u25b6 Nithisha CHALLA <a href=\"https:\/\/www.simtrade.fr\/blog_simtrade\/float\/\" target=\"_parent\" rel=\"noopener\">Float<\/a><\/p>\n<h3>Other financial indexes<\/h3>\n<p>\u25b6 Nithisha CHALLA <a href=\"https:\/\/www.simtrade.fr\/blog_simtrade\/sp-500-index\/\" target=\"_parent\" rel=\"noopener\">The S&amp;P 500 index<\/a><\/p>\n<p>\u25b6 Nithisha CHALLA <a href=\"https:\/\/www.simtrade.fr\/blog_simtrade\/ftse-100-index\/\" target=\"_parent\" rel=\"noopener\">The FTSE 100 index<\/a><\/p>\n<p>\u25b6 Nithisha CHALLA <a href=\"https:\/\/www.simtrade.fr\/blog_simtrade\/dax-30-index\/\" target=\"_parent\" rel=\"noopener\">The DAX 30 index<\/a><\/p>\n<p>\u25b6 Nithisha CHALLA <a href=\"https:\/\/www.simtrade.fr\/blog_simtrade\/cac-40-index\/\" target=\"_parent\" rel=\"noopener\">The CAC 40 index<\/a><\/p>\n<h3>About portfolio management<\/h3>\n<p>\u25b6 Youssef LOURAOUI <a href=\"https:\/\/www.simtrade.fr\/blog_simtrade\/portfolio\/\" target=\"_parent\" rel=\"noopener\">Portfolio<\/a><\/p>\n<p>\u25b6 Jayati WALIA <a href=\"https:\/\/www.simtrade.fr\/blog_simtrade\/returns\/\" target=\"_parent\" rel=\"noopener\">Returns<\/a><\/p>\n<h3>About statistics<\/h3>\n<p>\u25b6 Shengyu ZHENG <a href=\"https:\/\/www.simtrade.fr\/blog_simtrade\/moments-de-la-distribution\/\" target=\"_parent\" rel=\"noopener\">Moments de la distribution<\/a><\/p>\n<p>\u25b6 Shengyu ZHENG <a href=\"https:\/\/www.simtrade.fr\/blog_simtrade\/mesures-de-risques\/\" target=\"_parent\" rel=\"noopener\">Mesures de risques<\/a><\/p>\n<h2>Useful resources<\/h2>\n<h3>Academic research about risk<\/h3>\n<p>Longin F. (2000) <a href=\"https:\/\/www.longin.fr\/Recherche_Publications\/recherche_publications_var_stress_testing_us.htm\" target=\"_blank\" rel=\"noopener\">From VaR to stress testing: the extreme value approach<\/a> <em>Journal of Banking and Finance<\/em>, N\u00b024, pp 1097-1130.<\/p>\n<p>Longin F. (2016) <a href=\"https:\/\/extreme-events-finance.net\/wiley-handbook\/\" target=\"_blank\" rel=\"noopener\">Extreme events in finance: a handbook of extreme value theory and its applications<\/a> Wiley Editions.<\/p>\n<h3>About the OMXC 25 index<\/h3>\n<p>Nasdaq <a href=\"https:\/\/indexes.nasdaqomx.com\/Index\/Overview\/OMXC20\" target=\"_blank\" rel=\"noopener\">Index Description<\/a><\/p>\n<p>Capital.com <a href=\"https:\/\/capital.com\/omxc20-index-definition\" target=\"_blank\" rel=\"noopener\">What is the OMXC20 index? <\/a><\/p>\n<h3>Data<\/h3>\n<p><a href=\"https:\/\/finance.yahoo.com\/\" target=\"_blank\" rel=\"noopener\">Yahoo! Finance<\/a><\/p>\n<p>Yahoo! Finance <a href=\"https:\/\/finance.yahoo.com\/quote\/%5EOMXC25\" target=\"_blank\" rel=\"noopener\">Data for the OMXC 25 index<\/a><\/p>\n<h2>About the author<\/h2>\n<p>The article was written in June 2023 by <a href=\"https:\/\/www.linkedin.com\/in\/nithishachalla\/\" target=\"_blank\" rel=\"noopener\">Nithisha CHALLA<\/a> (ESSEC Business School, <i>Grande Ecole<\/i> Program &#8211; Master in Management, 2021-2023).<\/p>\n","protected":false},"excerpt":{"rendered":"<p>In this article, Nithisha CHALLA (ESSEC Business School, Grande Ecole Program &#8211; Master in Management, 2021-2023) presents the OMX Copenhagen 25 (OMXC25 or OMXC 25) index representing the Danish equity market and details its characteristics. The OMX Copenhagen 25 index The 25 biggest and busiest companies listed on Nasdaq Copenhagen, the main stock exchange in &#8230; <a title=\"The OMX Copenhagen 25 (OMXC 25) index\" class=\"read-more\" href=\"https:\/\/www.simtrade.fr\/blog_simtrade\/omx-copenhagen-25-omxc25-index\/\" aria-label=\"Read more about The OMX Copenhagen 25 (OMXC 25) index\">Read more<\/a><\/p>\n","protected":false},"author":84,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[5,10],"tags":[250,430,431],"class_list":["post-11519","post","type-post","status-publish","format-standard","hentry","category-contributors","category-financial-techniques","tag-financial-index","tag-omx-copenhagen-25-index","tag-omxc-25-index"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v26.3 (Yoast SEO v27.2) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>The OMX Copenhagen 25 (OMXC 25) index - SimTrade blog<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.simtrade.fr\/blog_simtrade\/omx-copenhagen-25-omxc25-index\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"The OMX Copenhagen 25 (OMXC 25) index\" \/>\n<meta property=\"og:description\" content=\"In this article, Nithisha CHALLA (ESSEC Business School, Grande Ecole Program &#8211; Master in Management, 2021-2023) presents the OMX Copenhagen 25 (OMXC25 or OMXC 25) index representing the Danish equity market and details its characteristics. The OMX Copenhagen 25 index The 25 biggest and busiest companies listed on Nasdaq Copenhagen, the main stock exchange in ... 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