In the first quarter of 2020, global stock indices posted substantial losses that were triggered by the outbreak of COVID-19. The period from March 6 to 18 was particularly dramatic, with several stock indices losing more than ** percent of their value. Worldwide panic hits markets From the United States to the United Kingdom, stock market indices suffered steep falls as the coronavirus pandemic created economic uncertainty. The Nasdaq 100 and S&P 500 are two indices that track company performance in the United States, and both lost value as lockdowns were introduced in the country. European markets also recorded significant slumps, which triggered panic selling among investors. The FTSE 100 – the leading share index of companies in the UK – plunged by as much as ** percent in the opening weeks of March 2020. Is it time to invest in tech stocks? The S&P 500 is regarded as the best representation of the U.S. economy because it includes more companies from the leading industries. However, helped in no small part by its focus on tech companies, the Nasdaq 100 has risen in popularity and seen remarkable growth in recent years. Global demand for digital technologies has increased further due to the coronavirus, with remote working and online shopping becoming part of the new normal. As a result, more investors are likely to switch to the tech stocks listed on the Nasdaq 100.

Graph and download economic data for CBOE Volatility Index: VIX (VIXCLS) from 1990-01-02 to 2025-07-10 about VIX, volatility, stock market, and USA.

Interactive historical chart showing the daily level of the CBOE VIX Volatility Index back to 1990. The VIX index measures the expectation of stock market volatility over the next 30 days implied by S&P 500 index options.

Over ********** of respondents to a 2021 survey purchased fixed income ETFs - or exchange traded funds - during periods of heightened market volatility, such as during the economic collapse caused by the global coronavirus (COVID-19) pandemic in March 2020. The least common response was to reduce ETF positions, which was chosen by ** percent of respondents.

United States - Equity Market Volatility Tracker: Healthcare Matters was 7.83581 Index in April of 2025, according to the United States Federal Reserve. Historically, United States - Equity Market Volatility Tracker: Healthcare Matters reached a record high of 10.15130 in March of 2020 and a record low of 0.00000 in August of 1985. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Equity Market Volatility Tracker: Healthcare Matters - last updated from the United States Federal Reserve on May of 2025.

The growing trend of interdependence between the international stock markets indicated the amalgamation of risk across borders that plays a significant role in portfolio diversification by selecting different assets from the financial markets and is also helpful for making extensive economic policy for the economies. By applying different methodologies, this study undertakes the volatility analysis of the emerging and OECD economies and analyzes the co-movement pattern between them. Moreover, with that motive, using the wavelet approach, we provide strong evidence of the short and long-run risk transfer over different time domains from Malaysia to its trading partners. Our findings show that during the Asian financial crisis (1997–98), Malaysia had short- and long-term relationships with China, Germany, Japan, Singapore, the UK, and Indonesia due to both high and low-frequency domains. Meanwhile, after the Global financial crisis (2008–09), it is being observed that Malaysia has long-term and short-term synchronization with emerging (China, India, Indonesia), OECD (Germany, France, USA, UK, Japan, Singapore) stock markets but Pakistan has the low level of co-movement with Malaysian stock market during the global financial crisis (2008–09). Moreover, it is being seen that Malaysia has short-term at both high and low-frequency co-movement with all the emerging and OECD economies except Japan, Singapore, and Indonesia during the COVID-19 period (2020–21). Japan, Singapore, and Indonesia have long-term synchronization relationships with the Malaysian stock market at high and low frequencies during COVID-19. While in a leading-lagging relationship, Malaysia’s stock market risk has both leading and lagging behavior with its trading partners’ stock market risk in the selected period; this behavior changes based on the different trade and investment flow factors. Moreover, DCC-GARCH findings shows that Malaysian market has both short term and long-term synchronization with trading partners except USA. Conspicuously, the integration pattern seems that the cooperation development between stock markets matters rather than the regional proximity in driving the cointegration. The study findings have significant implications for investors, governments, and policymakers around the globe.

Graph and download economic data for CBOE S&P 500 3-Month Volatility Index (VXVCLS) from 2007-12-04 to 2025-07-10 about VIX, volatility, 3-month, stock market, and USA.

The net value of retail sales of money market funds in the United Kingdom (UK) fluctuated considerably between January 2020 and January 2025. The net value of retail sales of money market funds was negative in January 2025 and amounted to **** million British pounds. What are money market funds? Money market funds are a category of mutual funds that invest in liquid and short-term assets. The composition of money market assets is designed to provide investors with a predictable and relatively secure return on their investment while simultaneously preserving liquidity. In addition, the increasing inflow of money market funds signifies heightened investor demand for safety and liquidity, often triggered by rising risk aversion in the face of economic uncertainty or market volatility. In March 2020, the fund flow of money market funds in the United States jumped by over ** percent, surging from ***** to ***** billion U.S. dollars. This significant rise in money market fund flows could be attributed to the elevated economic uncertainty and market turmoil resulting from the COVID-19 pandemic. What do money market fund values indicate? The trajectory of the value of money market funds in a country reveals the sentiments of investors, the economic performance, and the evolution of the market. The ascending trend in these funds often indicates a flight to safety by those looking for security and liquidity, especially during times of increased market volatility or economic uncertainty. The value of money market funds in the United Kingdom remained quite stable, with a few exceptions. This indicates a general sense of security, low volatility, and a cautious approach to investing in the marketplace.

United States - Equity Market Volatility Tracker: Entitlement And Welfare Programs was 5.20110 Index in May of 2025, according to the United States Federal Reserve. Historically, United States - Equity Market Volatility Tracker: Entitlement And Welfare Programs reached a record high of 10.96995 in March of 2020 and a record low of 0.13203 in May of 1985. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Equity Market Volatility Tracker: Entitlement And Welfare Programs - last updated from the United States Federal Reserve on July of 2025.

ABSTRACT We study the impact of shocks (news flow) on stock market volatility in different economic regions, namely the developed, emerging, frontier, and BRIC stock markets during the COVID-19 pandemic, which was a‘Black Swan Event’. The daily returns of relevant MSCI indices from January 30, 2020 to October 30, 2020 are examined using the EGARCH model’s News Impact Curve to gain a perspective on the volatility behaviour in stock markets in the developed, emerging, frontier, and BRIC countries' stock markets. Evidence suggests that the developed markets in the Pacific and Europe, the BRIC countries, the emerging markets in Asia, Europe, and Latin America and the frontier markets in Asia were associated with asymmetric volatility response to shocks. Further, the developed markets in North America, and the frontier markets in Africa were associated with a symmetric volatility response. We observe that the volatility response to shocks in different regions is not uniform and varies according to the size and sign of the shock. The findings of the study provide insights to the investors and the academics in understanding the behaviour of volatility globally during a Black Swan Event, and provides critical inputs in global portfolio decisions.

The most common likely response to a hypothetical market decline over two years would be to take no action and wait it out, regardless of the level of decline, according to investors in the United States in 2020. However, if the market were to decline by 50 percent for up to two years, 13 percent of respondents said they would stop investing in the market completely, and 17 percent would invest more into the stock market.

Disclaimer

All information presented here is for display purpose only, and may not be complete nor accurate. This information does not constitute a financial advice, and should not be used to make any investment decisions or financial transactions. This author rejects any claims for liabilities resulting from the use, misuse, or abuse of this information. Use at your own risk.

Motivation

Due to time zone differences between Australia and most of the rest of the world, Australians have the advantage of knowing what happened at markets elsewhere in the world, before the Australian market (ASX) is open in the morning, Sydney time.

This prior knowledge provides an excellent opportunity for arbitrage. In the hands of a savvy day-trader, or a shrewd long-term investor, this information gives you the advantage of predicting the ASX, and achieve potentially significant financial gains.

Method

For the ten years period from 1/7/2010 to 30/6/2020, the daily closing prices for 41 global market indicators are collected from various reliable public-domain sources. We checked the data for error or omissions and normalised all tabulated records in a format that facilitates further analysis and visulaisation.

Those 41 market indicators are what we consider significant measures of various external factors that may affect the performance of the Australian Stock Market, as represented by the ASX200. Those indicators are:

• Nine other major stock market indices from the USA, Europe, and Asia.

• The exchange rate of the $AU against 10 world currencies that are most relevant to Australia's international trade.

• Official interest rates by the RBA and the US Feds, as indicators of affinity of foreign funds to Australia.

• Yield rates for governments-issued bonds by 10 countries from Western and Asian economies, as measures of relative availability of credit and cross-border investment. Bonds are grouped into "Short-term" (one year maturity) and "Long-term" (10 to 30 years maturity).

• Since Australia's economy is mainly an exporter of raw materials, we include prices for commodities that are most traded by Australia, as indicators for potential profitability for various relevant sectors of the ASX.

We feed relevant data to a machine learning model, which uses this data to extract heuristic parameters that are used to predict the ASX200 on daily basis, before market opens, and validates predictions at market close, with favourable results.

For more information, please visit the Tableau viz at: https://public.tableau.com/app/profile/yasser.ali.phd/viz/PredictingAustralianStockMarket/Story

United States - Equity Market Volatility Tracker: Macroeconomic News and Outlook: Labor Markets was 12.88969 Index in May of 2025, according to the United States Federal Reserve. Historically, United States - Equity Market Volatility Tracker: Macroeconomic News and Outlook: Labor Markets reached a record high of 24.55960 in March of 2020 and a record low of 1.81916 in March of 1985. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Equity Market Volatility Tracker: Macroeconomic News and Outlook: Labor Markets - last updated from the United States Federal Reserve on July of 2025.

In March 2020, the outbreak of COVID-19 precipitated one of the most significant stock market downturns in recent history. This paper explores the relationship between public sentiment related to COVID-19 and stock market fluctuations during the different phases of the pandemic. Utilizing natural language processing and sentiment analysis, we examine Twitter data for pandemic-related keywords to assess whether these sentiments can predict changes in stock market trends. Our analysis extends to additional datasets: one annotated by market experts to integrate professional financial sentiment with market dynamics, and another comprising long-term social media sentiment data to observe changes in public sentiment from the pandemic phase to the endemic phase. Our findings indicate a strong correlation between the sentiments expressed on social media and market volatility, particularly sentiments directly associated with stocks. These insights validate the effectiveness of our Sentiment(S)-LSTM model, which helps to understand the evolving dynamics between public sentiment and stock market trends from 2020 through 2023, as the situation shifts from pandemic to endemic and approaches new normalcy.

The US_Stock_Data.csv dataset offers a comprehensive view of the US stock market and related financial instruments, spanning from January 2, 2020, to February 2, 2024. This dataset includes 39 columns, covering a broad spectrum of financial data points such as prices and volumes of major stocks, indices, commodities, and cryptocurrencies. The data is presented in a structured CSV file format, making it easily accessible and usable for various financial analyses, market research, and predictive modeling. This dataset is ideal for anyone looking to gain insights into the trends and movements within the US financial markets during this period, including the impact of major global events.

Key Features and Data Structure

The dataset captures daily financial data across multiple assets, providing a well-rounded perspective of market dynamics. Key features include:

• Commodities: Prices and trading volumes for natural gas, crude oil, copper, platinum, silver, and gold.
• Cryptocurrencies: Prices and volumes for Bitcoin and Ethereum, including detailed 5-minute interval data for Bitcoin.
• Stock Market Indices: Data for major indices such as the S&P 500 and Nasdaq 100.
• Individual Stocks: Prices and volumes for major companies including Apple, Tesla, Microsoft, Google, Nvidia, Berkshire Hathaway, Netflix, Amazon, and Meta.

The dataset’s structure is designed for straightforward integration into various analytical tools and platforms. Each column is dedicated to a specific asset's daily price or volume, enabling users to perform a wide range of analyses, from simple trend observations to complex predictive models. The inclusion of intraday data for Bitcoin provides a detailed view of market movements.

Applications and Usability

This dataset is highly versatile and can be utilized for various financial research purposes:

• Market Analysis: Track the performance of key assets, compare volatility, and study correlations between different financial instruments.
• Risk Assessment: Analyze the impact of commodity price movements on related stock prices and evaluate market risks.
• Educational Use: Serve as a resource for teaching market trends, asset correlation, and the effects of global events on financial markets.

The dataset’s daily updates ensure that users have access to the most current data, which is crucial for real-time analysis and decision-making. Whether for academic research, market analysis, or financial modeling, the US_Stock_Data.csv dataset provides a valuable foundation for exploring the complexities of financial markets over the specified period.

Acknowledgements:

This dataset would not be possible without the contributions of Dhaval Patel, who initially curated the US stock market data spanning from 2020 to 2024. Full credit goes to Dhaval Patel for creating and maintaining the dataset. You can find the original dataset here: US Stock Market 2020 to 2024.

United States - CBOE Emerging Markets ETF Volatility was 17.79000 Index in May of 2025, according to the United States Federal Reserve. Historically, United States - CBOE Emerging Markets ETF Volatility reached a record high of 92.46000 in March of 2020 and a record low of 13.11000 in June of 2023. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - CBOE Emerging Markets ETF Volatility - last updated from the United States Federal Reserve on June of 2025.

Market volatility across 13 Australian sectors using the ARMA-GARCH model during the Covid-19 period, 2020–2021.

The older the generation, the higher was the share who kept the same level of risk in their investment portfolios, despite the outbreak of the coronavirus and following market volatility. According to a global survey from April 2020, only 23 percent of Millennials maintained the same level of risk. Meanwhile, among investors belonging to Silent Generation, 75 percent either moved their portfolio but kept the same level or risk, or did not make any changes at all.

United States - Equity Market Volatility Tracker: Intellectual Property Matters was 1.58294 Index in May of 2025, according to the United States Federal Reserve. Historically, United States - Equity Market Volatility Tracker: Intellectual Property Matters reached a record high of 3.42230 in April of 2025 and a record low of 0.00000 in December of 2020. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Equity Market Volatility Tracker: Intellectual Property Matters - last updated from the United States Federal Reserve on July of 2025.

The COVID-19 pandemic has emerged as a significant event of the current century, introducing substantial transformations in economic and social activities worldwide. The primary objective of this study is to investigate the relationship between daily COVID-19 cases and Pakistan stock market (PSX) return volatility. To assess the relationship between daily COVID-19 cases and the PSX return volatility, we collected secondary data from the World Health Organization (WHO) and the PSX website, specifically focusing on the PSX 100 index, spanning from March 15, 2020, to March 31, 2021. We used the GARCH family models for measuring the volatility and the COVID-19 impact on the stock market performance. Our E-GARCH findings show that there is long-term persistence in the return volatility of the stock market of Pakistan in the period of the COVID-19 timeline because ARCH alpha (ω1) and GARCH beta (ω2) are significant. Moreover, is asymmetrical effect is found in the stock market of Pakistan during the COVID-19 period due to Gamma (ѱ) being significant for PSX. Our DCC-GARCH results show that the COVID-19 active cases have a long-term spillover impact on the Pakistan stock market. Therefore, the need of strong planning and alternative platform should be needed in the distress period to promote the stock market and investor should advised to make diversified international portfolio by investing in high and low volatility stock market to save their income. This study advocated the implications for investors to invest in low volatility stock especially during the period of pandemics to protect their return on investment. Moreover, policy makers and the regulators can make effective policies to maintain financial stability during pandemics that is very important for the country’s economic development.