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This paper examines how the size of the rolling window, and the frequency used in moving average (MA) trading strategies, affects financial performance when risk is measured. We use the MA rule for market timing, that is, for when to buy stocks and when to shift to the risk-free rate. The...
Persistent link: https://www.econbiz.de/10011906234
highest to the lowest frequency is about 30% lower as compared with the buy-and-hold strategy volatility, but the average … average daily returns, even though the volatility is virtually unchanged when the frequency is lower. The volatility from the … returns approach the buy-and-hold returns when frequency is lower. The 30% reduction in volatility appears if we invest …
Persistent link: https://www.econbiz.de/10011848115
The paper considers the problem as to whether financial returns have a common volatility process in the framework of … stochastic volatility models that were suggested by Harvey et al. (1994). We propose a stochastic volatility version of the ARCH … test proposed by Engle and Susmel (1993), who investigated whether international equity markets have a common volatility …
Persistent link: https://www.econbiz.de/10011441709
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One of the most popular univariate asymmetric conditional volatility models is the exponential GARCH (or EGARCH …) specification. In addition to asymmetry, which captures the different effects on conditional volatility of positive and negative … subsequent shocks to volatility. However, the statistical properties of the (quasi-) maximum likelihood estimator of the EGARCH …
Persistent link: https://www.econbiz.de/10010392823
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One of the most popular univariate asymmetric conditional volatility models is the exponential GARCH (or EGARCH …) specification. In addition to asymmetry, which captures the different effects on conditional volatility of positive and negative … subsequent shocks to volatility. However, there are as yet no statistical properties available for the (quasi-) maximum …
Persistent link: https://www.econbiz.de/10010362978
Of the two most widely estimated univariate asymmetric conditional volatility models, the exponential GARCH (or EGARCH …) specification can capture asymmetry, which refers to the different effects on conditional volatility of positive and negative … shocks to volatility. However, the statistical properties of the (quasi-) maximum likelihood estimator (QMLE) of the EGARCH …
Persistent link: https://www.econbiz.de/10010384390
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