scholarly journals The impact of COVID-19 pandemic shock on major Asian stock markets: evidence of decoupling effects

2021 ◽  
Vol 34 (2) ◽  
pp. 21-32
Author(s):  
Ibrahim A. Onour ◽  

Introduction. Despite the start of the outbreak of the virus (COVID-19) was in December 2019, stock markets did not respond immediately as there was little information about the expected duration of the crisis and whether China would be able to contain it within a short period of time, and the risks entailing to the global economy due to the virus spread becoming pandemic that endanger the global health situation. As a result of the great uncertainty that prevailed among investors in the third week of February, stock markets around the world incurred trillions of US dollars in losses in a single week (ending February) seen as the worst week for financial markets since the 2008 global financial crisis. The initial purpose of this paper is to assess the reaction of major Asian stock markets to the early outbreak of COVID-19 pandemic and its spillover effects among these markets. Material and methods. To capture switching behavior of major Asian stock markets due to the early outbreak of COVID-19, the paper uses daily price indexes of Shanghai composite, Hong Kong, Nikkei 225, and Korea stock market, during the period from December 2, 2019 to March, 13,2020. Markov switching dynamic regression (MSDR) employed to assess the behavior of each market to the response of the other markets’ behavior. Results. Our finding indicate evidence of two states that distinguish the behavior of the stock markets during the early outbreak of the pandemic. In state 1, when the significance of the pandemic was not fully realized there was a strong link and influence between these markets, but in state 2, when the scale and size of the pandemic realized these markets displayed decoupling behavior. Results also indicate, Hong Kong and Nikkie stock markets were the epicenter in both states. The impact of the pandemic news on the behavior of these markets as indicated by the transition probabilities of state 2, varied from 3 days duration effect (Hong Kong) to 3month duration effect (Nikkei 225). Discussion and conclusions. The interactive association between these stock markets is important for investors as well as for policy-makers. Increasing departure of stock prices from their fundamental driver, that is the common economic bonds linking these markets, implies increasing risk for investors in these stock markets. The duration of the shock as indicated by the transition probabilities show that Hong Kong stock exchange was the most resilient in the group, while Nikkei was the most reactive to the pandemic shock.

2020 ◽  
Vol 21 (6) ◽  
pp. 1561-1592
Author(s):  
Cristi Spulbar ◽  
Jatin Trivedi ◽  
Ramona Birau

The main aim of this paper is to investigate volatility spillover effects, the impact of past volatility on present market movements, the reaction to positive and negative news, among selected financial markets. The sample stock markets are geographically dispersed on different continents, respectively North America, Europe and Asia. We also investigate whether selected emerging stock markets capture the volatility patterns of developed stock markets located in the same region. The empirical analysis is focused on seven developed stock market indices, i.e. IBEX35 (Spain), DJIA (USA), FTSE100 (UK), TSX Composite (Canada), NIKKEI225 (Japan), DAX (Germany), CAC40 (France) and five emerging stock market indices, i.e. BET (Romania), WIG20 (Poland), BSE (India), SSE Composite (China) and BUX (Hungary) from January 2000 to June 2018. The econometric framework includes symmetric and asymmetric GARCH models i.e. EGARCH and GJR which are performed in order to capture asymmetric volatility clustering, interdependence, correlations, financial integration and leptokurtosis. Symmetric and asymmetric GARCH models revealed that all selected financial markets are highly volatile, including the presence of leverage effect. The stock markets in Hungary, USA, Germany, India and Canada exhibit high positive volatility after global financial crisis.


Author(s):  
Jinghai Shao ◽  
Sovan Mitra ◽  
Andreas Karathanasopoulos

AbstractIn this paper we provide a stock price model that explicitly incorporates credit risk, under a stochastic optimal control system. The stock price model also incorporates the managerial control of credit risk through a control policy in the stochastic system. We provide explicit conditions on the existence of optimal feedback controls for the stock price model with credit risk. We prove the continuity of the value function, and then prove the dynamic programming principle for our system. Finally, we prove the Viscosity Solution of the Hamilton–Jacobi–Bellman equation. This paper is particularly relevant to industry, as the impact of credit risk upon stock prices has been prominent since the commencement of the Global Financial Crisis.


2020 ◽  
Vol 16 (02) ◽  
pp. 1-8
Author(s):  
Kamaldeep Kaur Sarna

COVID-19 is aptly stated as a Black Swan event that has stifled the global economy. As coronavirus wreaked havoc, Gross Domestic Product (GDP) contracted globally, unemployment rate soared high, and economic recovery still seems a far-fetched dream. Most importantly, the pandemic has set up turbulence in the global financial markets and resulted in heightened risk elements (market risk, credit risk, bank runs etc.) across the globe. Such uncertainty and volatility has not been witnessed since the Global Financial Crisis of 2008. The spread of COVID-19 has largely eroded investors’ confidence as the stock markets neared lifetimes lows, bad loans spiked and investment values degraded. Due to this, many turned their backs on the risk-reward trade off and carted their money towards traditionally safer investments like gold. While the banking sector remains particularly vulnerable, central banks have provided extensive loan moratoriums and interest waivers. Overall, COVID-19 resulted in a short term negative impact on the financial markets in India, though it is making a way towards V-shaped recovery. In this context, the present paper attempts to identify and evaluate the impact of the pandemic on the financial markets in India. Relying on rich literature and live illustrations, the influence of COVID-19 is studied on the stock markets, banking and financial institutions, private equities, and debt funds. The paper covers several recommendations so as to bring stability in the financial markets. The suggestions include, but are not limited to, methods to regularly monitor results, establishing a robust mechanism for risk management, strategies to reduce Non-Performing Assets, continuous assessment of stress and crisis readiness of the financial institutions etc. The paper also emphasizes on enhancing the role of technology (Artificial Intelligence and Virtual/Augmented Reality) in the financial services sector to optimize the outcomes and set the path towards recovery.


2021 ◽  
Author(s):  
SDAG Lab

The subprime mortgage crisis in the U.S. in mid-2008 suggests that stock prices volatility do spillover from one market to another after international stock markets downturn. The purpose of this paper is to examine the magnitude of return and volatility spillovers from developed markets (the U.S. and Japan) to eight emerging equity markets (India, China, Indonesia, Korea, Malaysia, the Philippines, Taiwan, Thailand) and Vietnam. Employing a mean and volatility spillover model that deals with the U.S. and Japan shocks and day effects as exogenous variables in ARMA(1,1), GARCH(1,1) for Asian emerging markets, the study finds some interesting findings. Firstly, the day effect is present on six out of nine studied markets, except for the Indian, Taiwanese and Philippine. Secondly, the results of return spillover confirm significant spillover effects across the markets with different magnitudes. Specifically, the U.S. exerts a stronger influence on the Malaysian, Philippine and Vietnamese market compared with Japan. In contrast, Japan has a higher spillover effect on the Chinese, Indian, Korea, and Thailand than the U.S. For the Indonesian market, the the return effect is equal. Finally, there is no evidence of a volatility effect of the U.S. and Japanese markets on the Asian emerging markets in this study.


Author(s):  
Hakki Karatas ◽  
Nildag Basak Ceylan ◽  
Ayhan Kapusuzoglu

The purpose of this chapter is to examine the drivers of secondary bond market and stock market liquidity for investment analysis after global financial crisis in Turkey. The literature in Turkey mainly focuses only on the volatility of return for driving liquidity in both bond and stock markets. However, it is argued that other types of volatilities including domestic and international volatilities have also a deteriorating impact on secondary market liquidity in Turkey. In this context, it is empirically tested whether the volatility and/or uncertainty that stem from the FED and ECB policies within the last 10 years had a negative impact on liquidity both in government bond and stock markets. Moreover, the impact of non-residents in bond and stock markets on secondary market liquidity is examined by including their holdings in stock and bond market.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Haytem Troug ◽  
Matt Murray

PurposeThe purpose of this paper then, is to add to the existing literature on financial contagion. While a vast amount of the debate has been made using data from the late 1990s, this paper differentiates itself by analysing more current data, centred around the most recent global financial crisis, with specific focus on the stock markets of Hong Kong and Tokyo.Design/methodology/approachEmploying Pearson and Spearman correlation measures, the dynamic relationship of the two markets is determined over tranquil and crisis periods, as specified by an Markov-Switching Bayesian Vector AutoRegression (MSBVAR) model.FindingsThe authors find evidence in support of the existence of financial contagion (defined as an increase in correlation during a crisis period) for all frequencies of data analysed. This contagion is greatest when examining lower-frequency data. Additionally, there is also weaker evidence in some data sub-samples to support “herding” behaviour, whereby higher market correlations persist, following a crisis period.Research limitations/implicationsThe intention of this paper was not to analyse the cause or transmission mechanism of contagion between financial markets. Therefore future studies could extend the methodology used in this paper by including exogenous macroeconomic factors in the MSBVAR model.Originality/valueThe results of this paper serve to explain why the debate of the persistence and in fact existence of financial contagion remains alive. The authors have shown that the frequency of a time series dataset has a significant impact on the level of observed correlation and thus observation of financial contagion.


1998 ◽  
Vol 01 (02) ◽  
pp. 215-232
Author(s):  
Lifan Wu ◽  
Asani Sarkar

This paper studies the degree of impact of stock prices listed on the New York Stock Exchange and Tokyo Stock Exchange regarding price behavior in Asian stock markets. Our evidence shows that the pattern and magnitude of impact varies. Returns in Hong Kong, Singapore, and Malaysia are more sensitive than those in Taiwan, Korea and Thailand. The response patterns in the Asian markets suggest that foreign influence is significantly correlated to the degree of market openness.


2001 ◽  
Vol 04 (02) ◽  
pp. 235-264 ◽  
Author(s):  
Abul M. M. Masih ◽  
Rumi Masih

This article examines the patterns of dynamic linkages among national stock prices of Australia and four Asian NIC stock markets namely, Taiwan, South Korea, Singapore and Hong Kong. By employing recently developed time-series techniques results seem to consistently suggest the relatively leading role of the Hong Kong market in driving fluctuations in the Australian and other NIC stock markets. In other words, given the generality of the techniques employed, Hong Kong showed up consistently as the initial receptor of exogenous shocks to the (long-term) equilibrium relationship whereas the Australian and the other NIC markets, particularly the Singaporean and Taiwanese markets had to bear most of the brunt of the burden of short-run adjustment to re-establish the long term equilibrium. Furthermore, given the dominance of the Hong Kong market in the region, the study also brings to light the substantial contribution of the Australian market in explaining the fluctuations to the other three markets, particularly Singapore and Taiwan. Finally, in comparison to all other NIC markets, Taiwan and Singapore appear as the most endogenous, with the former providing significant evidence of its short-term vulnerability to shocks from the more established market such as Australia.


e-Finanse ◽  
2017 ◽  
Vol 13 (4) ◽  
pp. 110-126 ◽  
Author(s):  
Jerzy Różański ◽  
Paweł Kopczyński

AbstractThe recent financial crisis that began in 2007, also known as the Global Financial Crisis, had a huge influence on the financial situations of enterprises and financial institutions around the world. The situation on world stock markets was also strongly affected by the crisis. As the behavior of investors may be affected by various factors which can impact their decisions on the stock exchanges, some of them may be unable to act in a rational manner and make the right decisions. The huge drop in share prices on world stock markets was visible in the early stages of the crisis. The share price does not always reflect the real situation of the company. The main purpose of this article is to evaluate the influence of the recent financial crisis on the financial situation and performance of Polish listed companies. Financial ratios will be utilized to evaluate the real changes in the financial situation of Polish listed companies during the crisis. A large group of companies will be covered by the survey in order to assess the impact of macroeconomic factors on the financial situations of enterprises in different phases of the crisis. Market tests will not be applied because they may be affected by changes in share prices which in turn are often affected by irrational decision-making and fear.


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