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Long run returns predictability and volatility with moving averages

Chang, Chia-Lin; Ilomäki, Jukka; Laurila, Hannu; … - In: Risks : open access journal 6 (2018) 4, pp. 1-18

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

Do we need stochastic volatility and generalised autoregressive conditional heteroscedasticity? : Comparing squared end-of-day returns on ftse

Allen, David E.; McAleer, Michael - In: Risks : open access journal 8 (2020) 1/12, pp. 1-20

The paper examines the relative performance of Stochastic Volatility (SV) and Generalised Autoregressive Conditional … Heteroscedasticity (GARCH) (1,1) models fitted to ten years of daily data for FTSE. As a benchmark, we used the realized volatility (RV … two standard volatility models if the simple expedient of using lagged squared demeaned daily returns provides a better RV …

Persistent link: https://www.econbiz.de/10012203997