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.

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.

As of November 14, 2021, all S&P 500 sector indices had recovered to levels above those of January 2020, prior to full economic effects of the global coronavirus (COVID-19) pandemic taking hold. However, different sectors recovered at different rates to sit at widely different levels above their pre-pandemic levels. This suggests that the effect of the coronavirus on financial markets in the United States is directly affected by how the virus has impacted various parts of the underlying economy. Which industry performed the best during the coronavirus pandemic? Companies operating in the information technology (IT) sector have been the clear winners from the pandemic, with the IT S&P 500 sector index sitting at almost ** percent above early 2020 levels as of November 2021. This is perhaps not surprising given this industry includes some of the companies who benefitted the most from the pandemic such as ************** and *******. The reason for these companies’ success is clear – as shops were shuttered and social gatherings heavily restricted due to the pandemic, online services such shopping and video streaming were in high demand. The success of the IT sector is also reflected in the performance of global share markets during the coronavirus pandemic, with tech-heavy NASDAQ being the best performing major market worldwide. Which industry performed the worst during the pandemic? Conversely, energy companies fared the worst during the pandemic, with the S&P 500 sector index value sitting below its early 2020 value as late as July 2021. Since then it has somewhat recovered, and was around ** percent above January 2020 levels as of October 2021. This reflects the fact that many oil companies were among the share prices suffering the largest declines over 2020. A primary driver for this was falling demand for fuel in line with the reduction in tourism and commuting caused by lockdowns all over the world. However, as increasing COVID-19 vaccination rates throughout 2021 led to lockdowns being lifted and global tourism reopening, demand has again risen - reflected by the recent increase in the S&P 500 energy index.

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.

As of August 2020, the S&P 500 index had lost 34 percent of its value due to the COVID-19 pandemic. However, the Great Crash, which began with Black Tuesday, remains the most significant loss in value in its history. That market crash lasted for 300 months and wiped 86 percent off the index value.

Context

90 days of comprehensive stock market data for the end of 2020.

Content

Values gathered at EOD for each equity.

Acknowledgements

Data synthesized from IEX, Yahoo Finance, Google Finance, and the SEC

Key vaccine stocks like Moderna, Pfizer, and Novavax are rising as new coronavirus concerns emerge in China, highlighting a mixed day in the stock market with travel and tech sectors facing declines.

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.

This data set includes stock information for the companies Tesla, Porsche, Nio and Ferrari for each day from the date 11/08/2019 to 11/08/2020. Specifically, it shows information about the opening, closing, maximum and minimum price of the session, as well as the volume, the dividends granted to investors and the presence of stock splits generated per day. This dataste has been created with the aim to analyze how the quotes have been evolving during the COVID-19 pandemic in the automotive sector.

The AccionesSectorAutomovil.xlsx dataset contains 4 sheets (TESLA, PAH3.DE, NIO, RACE ) and 9 variables per sheet:

- Fecha: date in dd/MM/yyyy format
- Abrir: value of the share at the market opening expressed in US dollars (USD)
- Max: maximum value of the share throughout the day expressed in USD
- Cierre*: value of the share at the close of the market expressed in USD
- Cierre ajus.*: estimated share value at market close, expressed in USD.
- Volumen: the amount of a specific asset invested in during a day.
- Dividends: money received by shareholders in the form of dividends that day.
- Stock Splits: Whether or not a stock split operation was carried out that day.

For more information about the project visit the link on [Github](https://github.com/paulamlago/Financial-Web-Scrapping)

As of December 2023, the Korea Composite Stock Price Index (KOSPI) and the Korean Securities Dealers Automated Quotations (KOSDAQ) index stood at ******* and ******, respectively. After fears of the coronavirus (COVID-19) caused the KOSPI to fall below ***** points for the first time in ten years, the Korean government announced a plan to help financial markets recover. The coronavirus adversely affected the South Korean economy, which, however, quickly recovered as early as 2021.

As the coronavirus spreads around the world, the impact on the Polish stock exchange is increasing. As of 4 March, the WIG20 index was at the level of 1,860.95 points. Since then, the index has been systematically decreasing, and it reached the level of 1,305.73 points on 12 March. The reason for the falls on the stock exchange is a coronavirus (COVID-19). Fear of the epidemic has been visible in the markets for three weeks. As of 27 March, WIG20 has lost over 31 percent since the beginning of the year. Most probably, the first quarter of 2020 will be the worst in the history of the index. Even worse than the end of the memorable 2008, when the financial crisis broke out. On June 29, WIG20 index reached the closing value of 1,769.47, which is a decrease of 17.70 percent compared to the beginning of 2020.

We examine the impact of announcements related to COVID-19 on stock market performance in a small island Caribbean economy, the Trinidad and Tobago Stock Exchange (TTSE).

Timespan considered for respective stocks during COVID-19.

While nearly every country in Europe has a stock exchange, only five are considered major, and have a market capital of over one trillion U.S dollars. European stock exchanges make up two of the top ten global major stock markets. Europe’s biggest stock exchanges are the Euronext which combines five markets, and the London Stock Exchange. Since the Covid-19 outbreak all of Europe’s largest exchanges all saw large drops in total market capital value between January and March 2020. Since March, all major stock exchanges in Europe have been in recovery. Coronavirus First reported from Wuhan, China, on 31 December 2019, the Coronavirus disease (COVID-19) has massively affected stock exchanges and the financial sector globally. Approximately 210 countries and territories worldwide have been affected by the COVID-19 virus. Euronext As Europe’s largest stock exchange, Euronext consists of the Amsterdam, Brussels, Dublin, Lisbon and Paris stock markets. As of the end of 2022, companies trading on the Euronext stock exchange had a combined market capitalization of approximately seven trillion euros.

Supplementary information files for the article Emerging stock market volatility and economic fundamentals: the importance of US uncertainty spillovers, financial and health crises

Abstract: This paper studies the US and global economic fundamentals that exacerbate emerging stock markets volatility and can be considered as systemic risk factors increasing financial stability vulnerabilities. We apply the bivariate HEAVY system of daily and intra-daily volatility equations enriched with powers, leverage, and macro-effects that improve its forecasting accuracy significantly. Our macro-augmented asymmetric power HEAVY model estimates the inflammatory effect of US uncertainty and infectious disease news impact on equities alongside global credit and commodity factors on emerging stock index realized volatility. Our study further demonstrates the power of the economic uncertainty channel, showing that higher US policy uncertainty levels increase the leverage effects and the impact from the common macro-financial proxies on emerging markets’ financial volatility. Lastly, we provide evidence on the crucial role of both financial and health crisis events (the 2008 global financial turmoil and the recent Covid-19 pandemic) in raising markets’ turbulence and amplifying the volatility macro-drivers impact, as well.

This dataset was used to produce the work of the paper "COVID-19 Forecasts via Stock Market indicators"

View data of the S&P 500, an index of the stocks of 500 leading companies in the US economy, which provides a gauge of the U.S. equity market.

A pesquisa buscou investigar como a pandemia de COVID-19 impactou o mercado de ações brasileiro em termos de efeito manada. As análises foram feitas utilizando os 100 primeiros dias da pandemia, primeira, segunda e terceira onda. O modelo escolhido para essa análise foi o cross-sectional absolute deviation (CSAD) proposto por Chang; Cheng; Khorana (2000) pois, diferente do cross-sectional standard deviation (CSSD) proposto por Christie e Huang (1995), o CSAD é capaz de detectar o efeito manada em diferentes condições de mercado, seja num cenário de estresse ou em um de estabilidade. As estimações foram feitas por meio da regressão por MQO e pela regressão quantílica. Essa última, além de mais robusta a outliers por utilizar a mediana, permite analisar vários pontos ao longo da distribuição. Ao contrário da regressão MQO que faz suas estimativas apenas pela média da distribuição. A pesquisa se caracterizou por ser documental, descritiva e quantitativa. A amostra contou com 144 empresas listadas na B3 no período entre janeiro de 2016 a setembro de 2023. Os resultados apontaram que o efeito manada foi detectado nos primeiros 100 dias da pandemia, se estendendo até o fim da primeira onda. Na segunda e terceira ondas o efeito manada não foi evidenciado. Além disso, o mercado brasileiro também apresentou o comportamento manada tanto para mercados de alta como de baixa, com uma certa tendência para mercados de alta se for considerado o período até o fim da primeira onda da pandemia. Esse último resultado para a primeira onda foi detectado pela regressão quantílica e não por MQO. Na segunda e terceira ondas, não foi evidenciado o efeito manada em condições assimétricas.

COVID-19 Safety and Prevention Products Market is Segmented by Product Type (Temperature Devices, Ventilators, and More), End-User (Hospitals and Clinics, Long-Term Care Facilities, and More), Distribution Channel (Direct Institutional Procurement, Retail Pharmacies and Drug Stores, Online/E-commerce, and Specialized PPE Distributors), and Geography. The Market Forecasts are Provided in Terms of Value (USD).

IntroductionThis paper explored the impact of COVID-19 transmission rate on co-movement of China’s stock markets.MethodsBy employing the rolling time series model to measure the COVID-19 transmission rate and DCC-GARCH model to analyze co-movement of China’s Stock markets, this paper managed to demonstrate a significant correlation between COVID-19 transmission rate and co-movement of China’s stock markets.ResultsThe findings revealed that co-movement of China’s stock markets was significantly affected by the COVID-19 transmission rate during the pandemic period. As the transmission rate accelerated, the co-movement among China’s stock markets intensified, indicating that the shock of the pandemic strengthened their interconnectedness, leading to a broader spread of risk.DiscussionThis result suggests that the pandemic shock not only impacted individual stock markets but also intensified the correlations and risk spillovers among them. Such findings have important implications for investors, policymakers, and regulators. Therefore, during the virus outbreak stage, attempting to diversify risk by investing funds into different stock markets is ineffective; a more viable strategy to minimize losses would be to sell their held stocks. For policymakers, promptly introducing and effectively implementing virus prevention and containment measures is a feasible approach to mitigate the epidemic’s impact on domestic financial markets and stabilize their development.