An Analysis of Long Memory in Volatility for Asian Stock Markets

2000 ◽  
Vol 03 (03) ◽  
pp. 309-330 ◽  
Author(s):  
Huimin Chung ◽  
William T. Lin ◽  
Soushan Wu
Keyword(s):  
Financial Markets ◽  
Memory Effect ◽  
Long Memory ◽  
Stock Markets ◽  
Asia Pacific ◽  
Size Distortion ◽  
Asset Return ◽  
Semiparametric Method ◽  
Aggregation Size ◽  
And Shifts

One of the important questions in studies of asset return and volatility has been how long the effects of shocks persist. In this article, the modified R/S statistic of Lo (1991) and the robust semiparametric method of Lobato and Robinson (1997) are applied to investigate the long memory properties in return and volatility of Asian financial markets. For the return series, we find little evidence of long memory, while the empirical results support the hypothesis of long memory in volatility for Asia-Pacific stock markets. We also discuss the possible causes of spurious long memory effect in volatility, namely aggregation, size distortion, and shifts in variance. Our empirical evidence shows that spurious long memory effect in volatility might occur as a result of shifts in variance for some Asian stock markets.

Relationship research between meteorological disasters and stock markets based on a multifractal detrending moving average algorithm

2018 ◽  
Vol 32 (01) ◽  
pp. 1750267 ◽  
Author(s):  
Qingchen Li ◽  
Guangxi Cao ◽  
Wei Xu
Keyword(s):  
Financial Markets ◽  
Long Memory ◽  
Stock Markets ◽  
Moving Average ◽  
Preliminary Investigation ◽  
Autoregressive Integrated Moving Average ◽  
Auto Correlation ◽  
The Us ◽  
Sample Interval ◽  
Meteorological Disasters

Based on a multifractal detrending moving average algorithm (MFDMA), this study uses the fractionally autoregressive integrated moving average process (ARFIMA) to demonstrate the effectiveness of MFDMA in the detection of auto-correlation at different sample lengths and to simulate some artificial time series with the same length as the actual sample interval. We analyze the effect of predictable and unpredictable meteorological disasters on the US and Chinese stock markets and the degree of long memory in different sectors. Furthermore, we conduct a preliminary investigation to determine whether the fluctuations of financial markets caused by meteorological disasters are derived from the normal evolution of the financial system itself or not. We also propose several reasonable recommendations.

COVID -19 and Indian Financial Markets: A Review

2020 ◽  
Vol 16 (02) ◽  
pp. 1-8
Author(s):  
Kamaldeep Kaur Sarna
Keyword(s):  
Financial Markets ◽  
Financial Institutions ◽  
Financial Services ◽  
Stock Markets ◽  
Global Economy ◽  
Banking Sector ◽  
Global Financial Crisis ◽  
Negative Impact ◽  
Management Strategies ◽  
The Impact

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.

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