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Many ways exist to measure and model financial asset volatility. In principle, as the frequency of the data increases, the quality of forecasts should improve. Yet, there is no consensus about a true' or best' measure of volatility. In this paper we propose to jointly consider absolute daily...
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[fre] Volatilité conditionnelle, signaux d'échange et perception du risque par Giampiero M. Gallo et Barbara Pacini . Cet article étudie le rôle d'un terme de volatilité conditionnelle exprimant la présence de risque dans la relation entre le taux de change courant et à terme sur données...
Persistent link: https://www.econbiz.de/10010978706
Realized volatility of financial time series generally shows a slow–moving average level from the early 2000s to recent times, with alternating periods of turmoil and quiet. Modeling such a pattern has been variously tackled in the literature with solutions spanning from long–memory, Markov...
Persistent link: https://www.econbiz.de/10010862522
Realized volatilities measured on several assets exhibit a common secular trend and some idiosyncratic pattern. We accommodate such an empirical regularity extending the class of Multiplicative Error Models (MEMs) to a model where the common trend is estimated nonparametrically while the...
Persistent link: https://www.econbiz.de/10010862525
Empirical evidence shows that the dynamics of high frequency–based measures of volatility exhibit persistence and occasional abrupt changes in the average level. By looking at volatility measures for major indices, we notice similar patterns (including jumps at about the same time), with...
Persistent link: https://www.econbiz.de/10010862527
Realized volatilities observed across several assets show a common secular trend and some idiosyncratic pattern which we accommodate by extending the class of Multiplicative Error Models (MEMs). In our model, the common trend is estimated nonparametrically, while the idiosyncratic dynamics are...
Persistent link: https://www.econbiz.de/10010906796
We model the interrelations of equity market volatility in eight East Asian countries before, during, and after the Asian currency crisis. Using a new class of asymmetric volatility multiplicative error models based on the daily range, we find that dynamic propagation of volatility shocks occurs...
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