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Returns and Volatility Asymmetries in Global Stock Markets Thomas C. Chiang, Marshall M. Austin Professor of Finance Drexel University Cathy W.S. Chen, Professor of Statistics Fend Chia University
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Returns and volatility asymmetries refer to the differences or imbalances in the patterns of returns and volatility in financial markets. They reflect the presence of non-linearities or asymmetries in the behavior of asset prices, indicating that positive and negative shocks do not have the same impact on returns or volatility.
Returns and volatility asymmetries are primarily analyzed and reported by financial institutions, market analysts, and researchers studying the behavior of financial markets. It is not typically a requirement for individual investors to file returns and volatility asymmetries.
Filling out returns and volatility asymmetries involves analyzing historical price data for financial assets, calculating various measures of returns and volatility, and identifying any asymmetries in the patterns. This is typically done using statistical models and techniques such as ARCH, GARCH, or other time series analysis methods.
The purpose of studying returns and volatility asymmetries is to gain insights into the behavior and dynamics of financial markets. It helps analysts and researchers understand how asset prices respond to different types of shocks or events, and how volatility can vary over time. This information can be useful for risk management, portfolio optimization, and developing trading strategies.
The information reported on returns and volatility asymmetries typically includes measures of returns (such as daily, weekly, or monthly return series) and measures of volatility (such as standard deviation, variance, or other volatility measures). Additionally, any identified asymmetries in the patterns of returns and volatility should also be reported.
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