H7N9 not only endanger human health but also hit stock marketing

Jiang, Yan; Zhang, Yi; Ma, Caiyun; Wang, Quanyi; Xu, Chao; Donovan, Connor; Ali, Gholam; Xu, Tan; Sun, Wenjie

doi:10.25196/adcp201711

Cited by 25 publications

(18 citation statements)

References 15 publications

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“…The decline in stock price due to COVID-19 is higher than that reported by (54) in years between 1918 and 1920 or 1921 due to similar flu virus outbreaks, due to the rate infection and mortality rate compared with (SARS;2002-2003 and Middle-East respiratory disorder (MERS; 2012-ongoing) (53) . The dramatic decline in stock price from 31 st Dec to 25 th Mar can be linked with behavioural economic studies which point out that negative sentiment motivated by nervousness and pessimism affects investment decisions which may also affect asset pricing (21,23,33) . Thus, assuming COVID-19 outbreaks generate nervousness and pessimism, COVID-19 would also influence investment decisions and later asset prices.…”

Section: Stock Datasetmentioning

confidence: 99%

“…Hence, this study attempts to fill in the gap in the literature by examining the extent to which COVID-19 outbreak is affecting the stock markets worldwide. Due to this, we hypothesis that following the anxiety, fear and panic within the initial stage of the COVID-19 pandemic, the stock market will movement downwards conferring to the "Model-of-Herd-Behaviour" before getting better to the regular price conferring to the "return-to-the-central" theory (21,49) , as investors gain better information and regularise their view on the actual effect of the COVID-19 outbreak.…”

Section: Continued On Next Pagementioning

confidence: 99%

“…Succinctly, the factors that influence the stock market as already mentioned is extensive. According to Jiang et al (21) , the arrival of new infectious diseases does impend not only human-health but also cause enormous economic loss. McKibbin and Sidorenko examined the effect of pandemic influenza outbreak on the world economy, using a range of scenarios such as mild, moderate, severe and ultra (22) .…”

Section: Introductionmentioning

confidence: 99%

“…Similarly, the daily reported cases of Avian influenza A; thus haemagglutinin (H) seven and the neuraminidase (N) nine (H7N9) cases and stock price indices in China was examined in (21) . Using a distributed lag non-linear model, authors describe the variation trend for the stock indices.…”

Section: Introductionmentioning

confidence: 99%

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The COVID-19 outbreak and effects on major stock market indices across the globe: A machine learning approach

Adekoya¹,

Nti²

2020

IJST

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Background/Objectives: The Coronavirus disease in 2019 (COVID-19) was first seen in Wuhan (capital of Hubei, Chain), and has since spread throughout the world, resulting in the World Health Organisation (WHO) declaring the 2019-20 coronavirus a pandemic. Its ongoing spread has resulted in a standstill of the world's economy, total lockdown in some counties, closedown of business and firms globally. As of 25 th Mar 2020, 11:00 am GMT, a total of 491,280 cases were reported globally. The evolution of COVID-19 and its economic impact on the regional financial markets are highly uncertain, which makes it difficult for legislators to formulate a suitable macroeconomic strategy response. Methods: To ascertain the possible economic impact of COVID-19 globally, this study examines the effect of COVID-19 on major stocks indices across the globe. Using a random sampling technique, we selected thirty (30) world stock market indices in different countries infected with COVID-19 from 31 st Dec 2019 to 25 th Mar 2020. However, not like a high percentage of previous studies that focus on the regional stock market, we examine the information on daily reported COVID-19 cases and stock market fluctuation over thirty stock market indices that houses the stock prices of several countries around the globe. Also, we estimate the monetary loss within the period, project the future surge of this pandemic on the stock market and outline some portfolio allocation strategies to help the investor hedge against investment risk. Findings: The experimental results in this study show that even a controlled outbreak of the COVID-19 can significantly influence the world's economy in both the short-term and longterm. Our obtained results of COVID-19 associated economic loss echoed in stock prices movements advise that the cost can escalate severely and quickly into global economic stress. Hence, we conclude by outlining some measure that might help investors hedge against such risk using portfolio allocation strategies.

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Section: Stock Datasetmentioning

confidence: 99%

Section: Continued On Next Pagementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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The COVID-19 outbreak and effects on major stock market indices across the globe: A machine learning approach

Adekoya¹,

Nti²

2020

IJST

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“…[13]investigated the effects of global events on TSE (Toronto Stock Exchange) and KSE (Karachi Stock Exchange). [14]investigated the correlation between H7N9 cases and Chinese stock indices. [15]studied the impact of COVID-19 on Chinese Stock Market.…”

Section: Related Workmentioning

confidence: 99%

A Machine Learning based approach to unleash the impact of COVID-19 on Indian Stock Market

Rouf

Malik

Arif

2020

Preprint

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Introduction: Advancement in information technology, be it hardware, software or communication technology, over few decades has rapidly impacted almost every field of study. Machine learning tools and techniques are nowadays applied to every field. It has opened the ways for interdisciplinary research by promising effective analyzation and decision-making strategies. COVID-19 has badly affected more than 200 countries within a short span of time. It has drastically affected both daily activities as well as economic activities. Herd behavior of investors has triggered panic selling. As a result, stock markets around the world have plunged down.Methods: In this paper, we analyze the impact of COVID-19 on NSE (National Stock Exchange) index Nifty50. We employ Pearson Correlation and investigate the impact of total confirmed cases and daily cases on Nifty50 closing price. We use various machine learning regression models for predictive analysis viz, linear regression with polynomial terms (quadratic, cubic), Decision Tree Regression and Random Forest Regression. Model performance is measured using MSE (Mean Square Error), RMSE (Root Mean Square Error) and R2 (R Squared) evaluators. Results: Correlation analysis reveals that total confirmed cases and daily cases in both India and the World have negative correlation with Nifty50 closing prices. Moreover, Nifty50 closing prices are more negatively correlated with total confirmed and daily cases in India. Predictive analysis shows that the Random Forest Regression model outperforms all other models. Conclusion: We analyze and predict the impact of COVID-19 on closing price of Nifty50 index. We employ Pearson Correlation and investigate the impact of COVID-19 on Nifty50 closing prices. We use various machine learning regression models to predict the closing price of Nifty50 index. Results reveal that the market volatility is directly proportional to increase in number of COVID-19 cases. Random Forest Regression model has comparatively shown better RMSE and R2 values.

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Investor Behavior and Stock Market Dynamics in Palestine During the COVID-19 Crisis

Madi,

Alashi,

Shaheen

et al. 2024

Navigating the Technological Tide: The Evolution and Challenges of Business Model Innovation

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H7N9 not only endanger human health but also hit stock marketing

Cited by 25 publications

References 15 publications

The COVID-19 outbreak and effects on major stock market indices across the globe: A machine learning approach

The COVID-19 outbreak and effects on major stock market indices across the globe: A machine learning approach

A Machine Learning based approach to unleash the impact of COVID-19 on Indian Stock Market

Investor Behavior and Stock Market Dynamics in Palestine During the COVID-19 Crisis

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