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Predicting volatility is a must in the finance domain. Estimations of volatility, along with the central tendency … research is to analyze the influence of COVID-19 on the return and volatility of the stock market indices of the top 10 … volatility remains higher than in normal periods, signaling a bearish tendency in the market. The COVID variable, as an exogenous …
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It has been established in the literature that volatility of stock returns exhibits complex properties of not only … volatility clustering, but also long memory, regime change, and substantial outliers during turbulent and calm periods. Hence …, this paper seeks to analyze volatility spillover, co-movements, independence and contagion in the Chinese, Japanese …
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characterized by volatility clustering and asymmetry. Also revealed as a stylized fact is Long memory or long range dependence in … market volatility, with significant impact on pricing and forecasting of market volatility. The implication is that models … that accomodate long memory hold the promise of improved long-run volatility forecast as well as accurate pricing of long …
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domestic volatility after good shocks but a bad hedge after crashes …
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The use of GARCH models with stable Paretian innovations in financial modeling has been recently suggested in the literature. This class of processes is attractive because it allows for conditional skewness and leptokurtosis of financial returns without ruling out normality. This contribution...
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