scholarly journals The COVID-19 Outbreak and Affected Countries Stock Markets Response

Author(s):  
HaiYue Liu ◽  
Aqsa Manzoor ◽  
CangYu Wang ◽  
Lei Zhang ◽  
Zaira Manzoor

This paper evaluates the short-term impact of the coronavirus outbreak on 21 leading stock market indices in major affected countries including Japan, Korea, Singapore, the USA, Germany, Italy, and the UK etc. The consequences of infectious disease are considerable and have been directly affecting stock markets worldwide. Using an event study method, our results indicate that the stock markets in major affected countries and areas fell quickly after the virus outbreak. Countries in Asia experienced more negative abnormal returns as compared to other countries. Further panel fixed effect regressions also support the adverse effect of COVID-19 confirmed cases on stock indices abnormal returns through an effective channel by adding up investors’ pessimistic sentiment on future returns and fears of uncertainties.

2020 ◽  
Vol 8 (11) ◽  
pp. 749-759
Author(s):  
Rajsee Joshi ◽  
◽  
Tapesh Sharma

The spread of the corona virus disease COVID-19 has severely impacted the global financial markets. These are incredibly uncertain times, with countries around the world suffering the destabilizing effects of the pandemic. This research paper evaluates the early impact of the coronavirus outbreak on nine leading stock market indices in majorly affected countries including India, Spain, France, the USA, Germany, Italy, and the UK. The consequences of infectious disease are considerable and have been directly affecting stock markets worldwide. The scope of this paperis confined to the analysis of nine global indices including NASDAQ, Dow Jones, FTSE 100, IBEX 35, FTSEMIB, CAC 40, BSE, NSE and DAX 30 composite. The COVID-19 impact has beenanalysed on the above-mentioned indices for the period of 30st Jan 2020 (announced as a pandemic by WHO) to 30th April 2020. i.e. a period of 90 days (63 trading days) are considered for a paired sample t-test. Using an event study methodology, the results indicate that the indices of these majorly affected countries fell sharply after the virus outbreak. Countries in Asia experienced higher negative abnormal returns as compared to other countries. Further, Regression results also support the adverse effect of COVID-19 confirmed cases on stock indices, abnormal returns through an effective channel by adding up investors pessimistic sentiment on future returns and fears of uncertainties.


2020 ◽  
Vol 46 (7) ◽  
pp. 913-933
Author(s):  
Dimitris Kenourgios ◽  
Evangelos Dadinakis ◽  
Ioannis Tsakalos

PurposeThe purpose of this paper is to assess the reaction of European stock markets after the UK's EU membership referendum (“Brexit”) on June 23, 2016.Design/methodology/approachThe analysis focuses on asector level by using non-aggregate stock indices across EU-28, the UK and several country subsamples. An event study is performed in order to measure cumulative abnormal returns during the post-referendum announcement period.FindingsThe results indicate an unexpected small number of affected sectors across the country samples. A negative effect is observed in the financial sector across both the EU-28 and eurozone samples, whereas basic materials and health care sectors are influenced positively across the European region. Most of the sectors in the UK display a long-lasting positive effect, while the close trade relationships between the UK and selected European countries seem to partly constitute a driving force of sectors' abnormal stock returns after the referendum.Practical implicationsThe results are useful for global investors, traders and portfolio managers in terms of whether short-term gains from investment choices across sectors can be achieved during periods of increased political uncertainty and whether investors distinguished between sectors.Originality/valueThis paper extends the Brexit literature by using, for the first time, European non-aggregate stock indices. It also contributes to the sector-specific contagion studies by identifying which sectors with similar and/or different industrial composition are more prone to political uncertainty caused by the Brexit vote.


Author(s):  
Nathan Lael Joseph ◽  
Khelifa Mazouz

In this paper, the authors examine the impacts of large price changes (or shocks) on the abnormal returns (ARs) of a set of 39 national stock indices. Their initial results support returns continuations for both positive and negative shocks in line with prior results. After controlling for market size, their findings provide support for over-reaction, return continuations and market efficiency, but these result depend on the magnitude of the price shocks. Whilst the market is efficient when the positive shocks are large, the market also over-reacts when negative shocks are large. To illustrate, for large stock markets that are more liquid, positive shocks of more than 5% generate an insignificant day one CAR of -0.004%, whilst negative shocks of more than 5% generate a positive and significant day one CAR of 0.662%. In contrast, positive (negative) shocks of less than 5% generate a significant one day CAR of 0.119% (-0.174%) for these same (large) stock markets.


2010 ◽  
Vol 1 (2) ◽  
pp. 93-112 ◽  
Author(s):  
Nathan Lael Joseph ◽  
Khelifa Mazouz

In this paper, the authors examine the impacts of large price changes (or shocks) on the abnormal returns (ARs) of a set of 39 national stock indices. Their initial results support returns continuations for both positive and negative shocks in line with prior results. After controlling for market size, their findings provide support for over-reaction, return continuations and market efficiency, but these result depend on the magnitude of the price shocks. Whilst the market is efficient when the positive shocks are large, the market also over-reacts when negative shocks are large. To illustrate, for large stock markets that are more liquid, positive shocks of more than 5% generate an insignificant day one CAR of -0.004%, whilst negative shocks of more than 5% generate a positive and significant day one CAR of 0.662%. In contrast, positive (negative) shocks of less than 5% generate a significant one day CAR of 0.119% (-0.174%) for these same (large) stock markets.


2020 ◽  
Vol 65 (227) ◽  
pp. 67-94
Author(s):  
Oleg Salmanov ◽  
Natalia Babina ◽  
Marina Samoshkina ◽  
Irina Drachena ◽  
Irina Salmanova

The aim of this article is to identify patterns of profitability volatility and to establish the degree of dynamic conditional correlation between the stock markets of developed countries and those of Russia. This issue is important for investment strategies and the international diversification of investments. We use the BEKK-GARCH, CCC-GARCH, and DCCGARCH models and show that the correlation between the Russian stock market and the markets of the USA, UK, Germany, and France has decreased significantly in recent years. We find that while the correlation between the Russian market and the mature European markets is bidirectional, the relationship between the US market and the Russian market is unidirectional. An assessment of the transfer of volatility from all of the mature markets to the Russian market establishes its statistical significance and shows that feedback from the Russian market to the UK and German markets is insignificant. Diversification of international portfolios in the Russian market is recommended.


2021 ◽  
Vol 19 (1) ◽  
pp. 1-23
Author(s):  
Vinicius Ratton Brandi

The efficient market hypothesis is one of the most popular subjects in the empirical finance literature. Previous studies of the stock markets, which are mostly based on fixed-time price variations, have inconclusive findings: evidence of short-term predictability varies according to different samples and methodologies. We propose a novel approach and use drawdowns and drawups as triggers, to investigate the existence of short-term abnormal returns in the stock markets. As these measures are not computed within a fixed time horizon, they are flexible enough to capture subordinate, time-dependent processes that could drive market under- or overreaction. Most estimates in our results support the efficient market hypothesis. The underreaction hypothesis receives stronger support than does overreaction, with higher prevalence of return continuations than reversals. Evidence for the uncertain information hypothesis is present in some markets, mainly after lower-magnitude events.


Author(s):  
Andre Botha ◽  
Andrea Saayman

This paper models tourism demand for South Africa from the UK and the USA, using an almost ideal demand system. An error-correction almost ideal demand system (EC-AIDS) is applied to quantify the responsiveness of UK and USA tourism demand for South Africa, relative to changes in tourism prices and expenditure or income. Short-term own-price, cross-price and expenditure elasticities are derived from the EC-AIDS models. One of the key findings of the paper is that tourism from the UK and USA is not sensitive to price changes in South Africa in the short term. Tourism to South Africa is found to be more income-elastic than price-elastic, indicating that the country is vulnerable to changing world economic conditions. Even though price competitiveness does not yet seem to be a key concern, significant substitution effects are present, with especially Spain and Malaysia benefiting from a decline in South Africa’s price competitiveness.


Author(s):  
Matt J Keeling ◽  
Louise Dyson ◽  
Glen Guyver-Fletcher ◽  
Alex Holmes ◽  
Malcolm G Semple ◽  
...  

The COVID-19 pandemic has brought to the fore the need for policy makers to receive timely and ongoing scientific guidance in response to this recently emerged human infectious disease. Fitting mathematical models of infectious disease transmission to the available epidemiological data provides a key statistical tool for understanding the many quantities of interest that are not explicit in the underlying epidemiological data streams. Of these, the basic reproductive ratio, R, has taken on special significance in terms of the general understanding of whether the epidemic is under control (R<1). Unfortunately, none of the epidemiological data streams are designed for modelling, hence assimilating information from multiple (often changing) sources of data is a major challenge that is particularly stark in novel disease outbreaks. Here, focusing on the dynamics of the first-wave (March-June 2020), we present in some detail the inference scheme employed for calibrating the Warwick COVID-19 model to the available public health data streams, which span hospitalisations, critical care occupancy, mortality and serological testing. We then perform computational simulations, making use of the acquired parameter posterior distributions, to assess how the accuracy of short-term predictions varied over the timecourse of the outbreak. To conclude, we compare how refinements to data streams and model structure impact estimates of epidemiological measures, including the estimated growth rate and daily incidence.


2020 ◽  
Vol 37 (3) ◽  
pp. 513-543 ◽  
Author(s):  
Canh Phuc Nguyen ◽  
Thanh Dinh Su ◽  
Udomsak Wongchoti ◽  
Christophe Schinckus

Purpose This study aims to examine the spillover effects of trans-Atlantic macroeconomic uncertainties on the local stock market returns in the USA and eight selected European countries, namely, Germany, France, Spain, Italy, Greece, Ireland, Sweden and the UK, during the 2000-2019 period. Design/methodology/approach This paper applies the dynamic conditional correlation multivariate GARCH model (i.e. multivariate generalized autoregressive conditional heteroskedasticity model or DCC MGARCH) to examine the potential existence of the spillover from the uncertainty of the USA to EU stock markets and vice versa. To capture different dynamic relationships between multiple time-series variables following different regimes, this paper applies the Markov switching model to the stock returns of both the USA and the eight major stock markets. Findings The increases in US uncertainty have significant negative impacts on all EU stock returns, whereas only the increases in the uncertainties of Spain, Ireland, Sweden and the UK have significant negative impacts on US stock returns. Notably, the economic policy uncertainty (EPU) in the USA has a dynamic effect on the European stock markets. In a bear market (State 1), the increases in the EPU of the USA and EU have significant negative impacts on EU stock returns in most cases. However, only the increase in US EPU has significant negative impacts on EU stock returns in bull markets (State 2). Reciprocally, the increases in the EU EPUs of Germany, Spain and the UK have significant impacts on US stock returns in bear market. Originality/value The observations challenge the conventional wisdom according to which only larger economies can lead the smaller counterparts. The findings also highlight the stronger dependence of the US stock market on international macroeconomic uncertainty.


2016 ◽  
Vol 43 (6) ◽  
pp. 1006-1021 ◽  
Author(s):  
Luiz Lima ◽  
Claudio Foffano Vasconcelos ◽  
Jose Simão ◽  
Helder Ferreira de Mendonça

Purpose The purpose of this paper is to analyze if the unconventional monetary policy, known as quantitative easing (QE) practiced by central banks in the USA, the UK, and Japan was effective to increase the market share after subprime crisis. Design/methodology/approach In order to analyze the effect of the QE on the stock markets of the USA, the UK, and Japan, the authors use an ARDL model to find the long-run relationship among the variables. Findings The findings denote that the QE implemented by the central banks in the USA, Japan, and the UK had a positive impact on their stock markets. Originality/value The results of the paper give some new insights about the conduction of monetary policy when the interest rates are close to zero.


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