Showing 1 - 10 of 9,133
This paper considers spot variance path estimation from datasets of intraday high frequency asset prices in the presence of diurnal variance patterns, jumps, leverage effects and microstructure noise. We rely on parametric and nonparametric methods. The estimated spot variance path can be used...
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We introduce a statistical test for simultaneous jumps in the price of a financial asset and its volatility process … volatility jumps, we design and analyze a nonparametric spectral estimator of the spot volatility process. A simulation study and … important role played by price volatility co-jumps. …
Persistent link: https://www.econbiz.de/10010384595
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in stock return volatility using traditional time and spectral domain estimators of long memory. The definitive ubiquity … and existence of long memory in the volatility of stock returns is an established stylized fact. The presence of long … long memory in the Indian stock returns and returns volatility. We find the presence of long memory in the volatility of …
Persistent link: https://www.econbiz.de/10012920334
We present a new model to decompose total daily return volatility into a filtered (high-frequency based) open …-to-close volatility and a time-varying scaling factor. We use score-driven dynamics based on fat-tailed distributions to limit the impact …-to-close volatility changes substantially through time, especially for financial stocks. …
Persistent link: https://www.econbiz.de/10012056853
The predictability of long-term asset returns increases with the time horizon as estimated in regressions of aggregated-forward returns on aggregated-backward predictive variables. This previously established evidence is consistent with the presence of common slow-moving components that are...
Persistent link: https://www.econbiz.de/10013094461
We introduce a new fractionally integrated model for covariance matrix dynamics based on the long-memory behavior of daily realized covariance matrix kernels and daily return observations. We account for fat tails in both types of data by appropriate distributional assumptions. The covariance...
Persistent link: https://www.econbiz.de/10011531139
We consider a general class of observation-driven models with exogenous regressors for double bounded data that are based on the beta distribution. We obtain a stationary and ergodic beta observation-driven process subject to a contraction condition on the stochastic dynamic model equation. We...
Persistent link: https://www.econbiz.de/10012843003
This paper investigates the empirical properties of oil price and Stock market return volatilities using a range of univariate and multivariate GARCH models and monthly data from the U.S. The study relates the period August 1987 to October 2016, a total of 351 observations given. The aim of this...
Persistent link: https://www.econbiz.de/10012977192