While the global coronavirus (COVID-19) pandemic caused all major stock market indices to fall sharply in March 2020, both the extent of the decline at this time, and the shape of the subsequent recovery, have varied greatly. For example, on March 15, 2020, major European markets and traditional stocks in the United States had shed around 40 percent of their value compared to January 5, 2020. However, Asian markets and the NASDAQ Composite Index only shed around 20 to 25 percent of their value. A similar story can be seen with the post-coronavirus recovery. As of November 14, 2021 the NASDAQ composite index value was around 65 percent higher than in January 2020, while most other markets were only between 20 and 40 percent higher.

Why did the NASDAQ recover the quickest?

Based in New York City, the NASDAQ is famously considered a proxy for the technology industry as many of the world’s largest technology industries choose to list there. And it just so happens that technology was the sector to perform the best during the coronavirus pandemic. Accordingly, many of the largest companies who benefitted the most from the pandemic such as Amazon, PayPal and Netflix, are listed on the NADSAQ, helping it to recover the fastest of the major stock exchanges worldwide.

Which markets suffered the most?

The energy sector was the worst hit by the global COVID-19 pandemic. In particular, oil companies share prices suffered large declines over 2020 as demand for oil plummeted while workers found themselves no longer needing to commute, and the tourism industry ground to a halt. In addition, overall share prices in two major stock exchanges – the London Stock Exchange (as represented by the FTSE 100 index) and Hong Kong (as represented by the Hang Seng index) – have notably recovered slower than other major exchanges. However, in both these, the underlying issue behind the slower recovery likely has more to do with political events unrelated to the coronavirus than it does with the pandemic – namely Brexit and general political unrest, respectively.

China's main stock market index, the SHANGHAI, rose to 3382 points on June 23, 2025, gaining 0.65% from the previous session. Over the past month, the index has climbed 1.04% and is up 14.12% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from China. China Shanghai Composite Stock Market Index - values, historical data, forecasts and news - updated on June of 2025.

Market Capitalization: Spanish Stock Exchange: Consumer Goods data was reported at 126,650.542 EUR mn in Jun 2018. This records an increase from the previous number of 118,637.129 EUR mn for May 2018. Market Capitalization: Spanish Stock Exchange: Consumer Goods data is updated monthly, averaging 84,731.265 EUR mn from Nov 2007 (Median) to Jun 2018, with 128 observations. The data reached an all-time high of 147,058.907 EUR mn in May 2017 and a record low of 30,374.430 EUR mn in Mar 2009. Market Capitalization: Spanish Stock Exchange: Consumer Goods data remains active status in CEIC and is reported by Spanish Exchanges. The data is categorized under Global Database’s Spain – Table ES.Z002: Spanish Stock Exchange: Market Capitalization.

Today's oil prices on the stock market have been quite volatile. Factors such as supply and demand dynamics, geopolitical events, economic indicators, and market speculation influence the price of oil. This article explores the impact of the ongoing conflict in the Middle East, global demand trends, supply levels, and market speculation on oil prices. It also highlights the potential for rapid changes in oil prices due to various geopolitical, economic, and market factors.

Downloadable company sentiment dataset over time for Cboe Global Markets, Inc., based on trusted financial news sources.

Global Dates market size is expected to reach $39.84 billion by 2029 at 6.8%, segmented as by fresh dates, medjool dates, deglet noor dates, other fresh date varieties

The global market value of furniture was estimated to be *** billion U.S. dollars in 2023, and was expected to increase every year to reach a forecasted value of approximately *** billion U.S. dollars by 2030. Office furniture retail Steelcase, a leading office furniture company, generated a revenue of **** billion U.S. dollars in the United States alone in 2023. Ranked on a global scale, the revenue of the office furniture market is lead by the United States, amounting to ***** billion U.S. dollars. In 2022, the import of office equipment to the States was valued at ** million U.S. dollars. Ready-to-assemble (RTA) furniture Ready-to-assemble (RTA) furniture became popular in the 1950s and introduced selling unassembled furniture in parts to customers who preferred to save money on their purchase and assemble the furniture themselves at home. Perhaps most famous for RTA furniture is the Swedish furniture giant IKEA, the largest furniture retailer in the world. In 2023, IKEA generated nearly ** billion euros in global revenues and recorded more than *** million visits to their stores worldwide. Europe is home to the largest number of IKEA stores, followed by North America and Asia.

Algorithmic Trading Market Outlook

The global algorithmic trading market size was valued at approximately USD 12.1 billion in 2023 and is projected to grow to USD 27.9 billion by 2032, reflecting a robust CAGR of 9.7% during the forecast period. This growth is driven by advancements in artificial intelligence, machine learning, and big data analytics, which foster sophisticated trading strategies and enhanced decision-making processes. Additionally, the push towards automation and the increasing need for efficient and accurate trading systems are significantly contributing to market expansion.

One of the primary growth drivers for the algorithmic trading market is the increasing demand for quick, accurate, and efficient trade execution. The market has seen a surge in adoption as traders and financial institutions recognize the benefits of automated trading systems, such as reduced trading costs, minimized human error, and enhanced liquidity. The ability of algorithmic trading to analyze vast amounts of data and execute trades within milliseconds is a key factor propelling its adoption across various trading segments.

Another significant growth factor is the rapid technological advancements in artificial intelligence (AI) and machine learning (ML). These technologies have revolutionized algorithmic trading by enabling more sophisticated and adaptive trading algorithms. AI and ML allow for the development of predictive models that can analyze historical data, identify patterns, and forecast market trends with a high degree of accuracy. This capability is particularly valuable in volatile markets, where quick and informed decisions can lead to substantial gains.

The increasing regulatory support and frameworks for electronic trading also play a crucial role in market growth. Governments and financial regulatory bodies across the globe are implementing policies to promote transparency, fairness, and efficiency in financial markets. Regulations such as MiFID II in Europe and the Dodd-Frank Act in the United States mandate stricter reporting and risk management standards, which are effectively facilitated by algorithmic trading systems. These regulations are driving the adoption of algorithmic trading by ensuring a safer and more reliable trading environment.

On a regional scale, North America currently dominates the algorithmic trading market, owing to the presence of major financial hubs and a high adoption rate of advanced technologies. However, Asia Pacific is expected to exhibit the highest growth rate during the forecast period. The rapid economic development, increasing digitalization, and growing financial markets in countries like China, India, and Japan are significant contributors to this trend. The region is witnessing a surge in algorithmic trading adoption as financial institutions seek to enhance their competitive edge through technological innovation.

Component Analysis

The algorithmic trading market can be segmented by component into software and services. The software segment holds a significant share of the market, driven by the increasing demand for advanced trading platforms that offer automated trading capabilities. Software solutions in algorithmic trading encompass various tools and platforms that enable traders to design, test, and deploy trading algorithms. These solutions offer features such as backtesting, risk management, and execution management, which are crucial for effective algorithmic trading. The continuous innovation in software, with the integration of AI and ML, further enhances the functionality and efficiency of these platforms.

The services segment, though smaller compared to software, is crucial for the deployment and maintenance of algorithmic trading systems. This segment includes consulting, system integration, and support services that ensure the smooth operation and optimization of trading platforms. Financial institutions often require expert consultation to develop and implement customized trading strategies that align with their specific needs and regulatory requirements. Additionally, ongoing support and maintenance services are essential to address any technical issues and to update the systems with the latest market data and regulatory changes.

The growth in the software segment can be attributed to the increasing adoption of cloud-based solutions, which offer scalability, flexibility, and cost-effe

Stock market return (%, year-on-year) in Oman was reported at 6.1763 % in 2021, according to the World Bank collection of development indicators, compiled from officially recognized sources. Oman - Stock market return (%, year-on-year) - actual values, historical data, forecasts and projections were sourced from the World Bank on May of 2025.

Replication Data for "Total Factor Productivity and Sustained Integration with World Markets: Evidence from Emerging Markets"

Bulgaria BG: Market Capitalization: Listed Domestic Companies data was reported at 15.705 USD bn in 2022. This records a decrease from the previous number of 17.024 USD bn for 2021. Bulgaria BG: Market Capitalization: Listed Domestic Companies data is updated yearly, averaging 5.086 USD bn from Dec 1993 (Median) to 2022, with 23 observations. The data reached an all-time high of 21.668 USD bn in 2007 and a record low of 5.600 USD mn in 1996. Bulgaria BG: Market Capitalization: Listed Domestic Companies data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Bulgaria – Table BG.World Bank.WDI: Financial Sector. Market capitalization (also known as market value) is the share price times the number of shares outstanding (including their several classes) for listed domestic companies. Investment funds, unit trusts, and companies whose only business goal is to hold shares of other listed companies are excluded. Data are end of year values converted to U.S. dollars using corresponding year-end foreign exchange rates.;World Federation of Exchanges database.;Sum;Stock market data were previously sourced from Standard & Poor's until they discontinued their 'Global Stock Markets Factbook' and database in April 2013. Time series have been replaced in December 2015 with data from the World Federation of Exchanges and may differ from the previous S&P definitions and methodology.

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

MSCI World Index: Global Pathfinder or Market Mirage?

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

Key information about Australia Market Capitalization

• Australia Market Capitalization accounted for 1,878.429 USD bn in Feb 2025, compared with a percentage of 1,953.275 USD bn in the previous month
• Australia Market Capitalization is updated monthly, available from Jan 1985 to Feb 2025
• The data reached an all-time high of 2,088.660 USD bn in Sep 2024 and a record low of 46.183 USD bn in Feb 1985

CEIC converts monthly Market Capitalization into USD. Australian Securities Exchange provides Market Capitalization in local currency. The Federal Reserve Board period end market exchange rate is used for currency conversions. Market Capitalization prior to January 2024 includes only domestically listed companies.

Crude commodity prices refer to the rates at which crude oil is being traded in various markets. Today, the price of Brent crude oil is $60 per barrel, while the price of WTI crude oil is $58 per barrel. Factors such as supply and demand dynamics, geopolitical tensions, and economic indicators influence these prices, which are subject to constant fluctuations. Traders and investors closely monitor crude commodity prices to make informed decisions and assess market trends.

Key information about Switzerland Market Capitalization

• Switzerland Market Capitalization accounted for 1,881.413 USD bn in Feb 2025, compared with a percentage of 1,822.674 USD bn in the previous month
• Switzerland Market Capitalization is updated monthly, available from Jan 2000 to Feb 2025
• The data reached an all-time high of 2,011.930 USD bn in Dec 2021 and a record low of 427.157 USD bn in Mar 2003

CEIC converts monthly Market Capitalization into USD. SIX Swiss Exchange provides Market Capitalization in local currency. The Federal Reserve Board period end market exchange rate is used for currency conversions.

The global market value of graphene is expected to reach **** billion U.S. dollars in 2028, which will be a considerable increase from the market value that was recorded in 2022. The material of the future The significant increase in the market value of graphene can be attributed to the fact that there is a greater understanding of the material and its wide variety of potential uses. Research into the material has so far been conducted on a relatively small scale and so the full scope of graphene’s possibilities remains to be seen. Nevertheless, graphene is poised to revolutionize industries around the world and the global market value of graphene-based products is projected to stand at *** billion U.S. dollars in 2025. What is graphene? Graphene was first isolated in 2004 by two researchers at The University of Manchester: Andre Geim and Konstantin Novoselov. The material has a special set of properties that make it stand out from other carbon forms such as diamond and graphite. Graphene’s two-dimensional, one-atom-thick structure means it is light and thin, yet very strong due to its hexagonal lattice of densely packed carbon atoms. Furthermore, by combining graphene with other materials such as plastics, unique composite materials could also be made.

Key information about Tunisia Market Capitalization

• Tunisia Market Capitalization accounted for 8.836 USD bn in Feb 2025, compared with a percentage of 8.547 USD bn in the previous month
• Tunisia Market Capitalization is updated monthly, available from Jul 2004 to Feb 2025
• The data reached an all-time high of 11.864 USD bn in Sep 2010 and a record low of 2.397 USD bn in Jul 2004

CEIC converts monthly Market Capitalization into USD. Tunis Stock Exchange provides Market Capitalization in local currency. The Central Bank of Tunisia period end market exchange rate is used for currency conversions.

According to the report, the global sea salt market was valued at about 553 billion U.S. dollars in 2024. The market is projected to reach a value of over 786 billion U.S. dollars by 2034.

This statistic shows the value of the spices and herbs market worldwide from 2018 to 2028. In 2023, the global spices and herbs market was estimated at about ** billion U.S. dollars. The global market for spices is likely to witness expanding its valuation to about ** billion U.S. dollars by the end of 2028.

Global Caviar market size is expected to reach $4.61 billion by 2029 at 10.2%, segmented as by sevruga, farmed sevruga, wild sevruga