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Most of the models leading to an analytical expression for option prices are based on the assumption that underlying asset returns evolve according to a Brownian motion with drift. For some asset classes like commodities, a Brownian model does not fit empirical covariance and autocorrelation...
Persistent link: https://www.econbiz.de/10011890768
-frequency data in research and practice. This study examines the performance of intraday implied volatility (IV) in estimating … pricing currency options. We use the Mincer-Zarnowitz regression test to analyse the volatility forecast power of IV for three … findings show that intraday IV is the key to accurately forecasting volatility and estimating currency options prices precisely …
Persistent link: https://www.econbiz.de/10014225987
This paper investigates how the introduction of foreign exchange futures has an impact on spot volatility and considers … the contemporaneous and dynamic relationship between spot volatility and foreign exchange futures trading activity … decreases spot volatility. It also increases the rate at which new information is impounded into spot prices but decreases the …
Persistent link: https://www.econbiz.de/10014637194
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
volatility and a convenient principal component stochastic volatility (PCSV) decomposition for the stochastic covariance. We find …
Persistent link: https://www.econbiz.de/10012612366
shifts and stochastic volatility. The filter adapts to regime shifts extremely rapidly and delivers a clear heuristic for … distinguishing between regime shifts and stochastic volatility, even though the model dynamics assumed by the filter exhibit neither …
Persistent link: https://www.econbiz.de/10012794245
We propose a fully data-driven approach to calibrate local stochastic volatility (LSV) models, circumventing in … particular the ad hoc interpolation of the volatility surface. To achieve this, we parametrize the leverage function by a family … be seen in the context of neural SDEs and (causal) generative adversarial networks: we generate volatility surfaces by …
Persistent link: https://www.econbiz.de/10012373082
We investigate the state dependence of the variance of the instantaneous variance of the S&P 500 index empirically. Time-series analysis of realized variance over a 20-year period shows strong evidence of an elasticity of variance of the variance parameter close to that of a log-normal model,...
Persistent link: https://www.econbiz.de/10012292915
This paper studies the effect of variance swap in hedging volatility risk under the mean-variance criterion. We … consider two mean-variance portfolio selection problems under Heston's stochastic volatility model. In the first problem, the … variance swap can be used to hedge against the volatility risk. In the second problem, only the bank account and the stock can …
Persistent link: https://www.econbiz.de/10012293125
this paper, we consider a general class of stochastic volatility models written in forward variance form. We also deal with … volatility model with a Vasicek interest rate model. …
Persistent link: https://www.econbiz.de/10012293269