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This paper introduces a new jump diffusion process where the occurrence and the size of past jumps have an impact on both the instantaneous and the long term propensities of observing a jump instantaneously. Here, the intensity of jump arrival is a multifactor self-excited process whereas the...
Persistent link: https://www.econbiz.de/10012969146
This article implements the minimum variance frontier for the stochastic discount factor, according to both Hansen and Jagannathan (1991) and Cochrane and Hansen (1992), for the Brazilian stock market. Two approaches are considered in terms of equity returns and equity premium, respectively, the...
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This paper examines continuous-time models for the S&P 100 index and its constituents. We find that the jump process of the typical stock looks significantly different than that of the index. Most importantly, the average size of a jumps in the returns of the typical stock is positive, while it...
Persistent link: https://www.econbiz.de/10013465942
model in several ways, it allows for all the primary stylized facts of financial asset returns, including volatility … volatility, but without the estimation problems associated with the latter, and being applicable in the multivariate setting for …
Persistent link: https://www.econbiz.de/10010256409
This paper examines continuous-time models for the price and volatility processes of individual stocks and the S … diffusive volatility innovations we find that the first principal component is highly correlated with index variance innovations …
Persistent link: https://www.econbiz.de/10012718585
For underlying asset motions calibrating skewness and kurtosis beyond the volatility it becomes possible to consider …. Markovian discrete time approximations are simulated to incorporate stochasticity in all three entities, volatility, skewness … stochasticity in volatility and skewness. Implications for a log normal volatility of volatility are presented along with the …
Persistent link: https://www.econbiz.de/10013306938
different frequencies but also due to the preservation of high-frequency features such as time-varying volatility. Temporally … aggregated models misspecify the evolution frequency of the volatility dynamics, resulting in poor volatility timing and worse … mixed-frequency nature of predictors and volatility in predictive regressions …
Persistent link: https://www.econbiz.de/10014348997