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average daily returns, even though the volatility is virtually unchanged when the frequency is lower. The volatility from the … highest to the lowest frequency is about 30% lower as compared with the buy-and-hold strategy volatility, but the average … returns approach the buy-and-hold returns when frequency is lower. The 30% reduction in volatility appears if we invest …
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Using US data from June 1984 to July 1999, we show that the impact of firm-specificcharacteristics like size and book-to-price on future excess stock returns varies considerably overtime. The impact can be either positive or negative at different times. This time variation ispartially...
Persistent link: https://www.econbiz.de/10011316893
This paper considers a simple Continuous Beliefs System (CBS) toinvestigate the effects on price dynamics of several behavioralassumptions: (i) herd behaviour; (ii) a-synchronous updating ofbeliefs; and (iii) heterogeneity in time horizons (memory) amongagents. The recently introduced concept of...
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We propose a new class of observation-driven time-varying parameter models for dynamic volatilities and correlations to handle time series from heavy-tailed distributions. The model adopts generalized autoregressive score dynamics to obtain a time-varying covariance matrix of the multivariate...
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. The methodology is hybrid because it combines a formaltesting procedure with volatility curve pattern recognition based …
Persistent link: https://www.econbiz.de/10011299968
The sum of squared intraday returns provides an unbiased and almost error-free measure of ex-post volatility. In this … paper we develop a nonlinear Autoregressive Fractionally Integrated Moving Average (ARFIMA) model for realized volatility …, which accommodates level shifts, day-of-the-week effects, leverage effects and volatility level effects. Applying the model …
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