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Volatility permeates modern financial theories and decision making processes. As such, accurate measures and good … forecasts of future volatility are critical for the implementation and evaluation of asset pricing theories. In response to this …, a voluminous literature has emerged for modeling the temporal dependencies in financial market volatility at the daily …
Persistent link: https://www.econbiz.de/10012774886
strongly predicts higher, more persistent, and less volatile profitability; and higher abnormal stock returns—findings that are …, lower investor attention, and greater sensitivity of future profitability to InnOrig. This evidence suggests that innovative …
Persistent link: https://www.econbiz.de/10012955455
reservations about the impact of foreign speculators on both expectedquot; returns and market volatility. We propose a cross … depositary receipts country funds and other financial instruments, in an extranational market and market volatility in emerging … statistically weak. The effects on volatility and correlation are less robust.quot …
Persistent link: https://www.econbiz.de/10012774923
We model the conditional mean and volatility of stock returns as a latent vector autoregressive (VAR) process to study … although the conditional correlation between the mean and volatility is negative, the unconditional correlation is positive due …
Persistent link: https://www.econbiz.de/10012787157
-shifts of heterogeneous durations affect the volatility of dividend news. We estimate tightly parameterized specifications with … likelihood than the classic Campbell and Hentschel (1992) specification, while generating volatility feedback effects 6 to 12 … times larger. We show in an extension that Bayesian learning about stochastic volatility is faster for bad states than good …
Persistent link: https://www.econbiz.de/10012754523
inflation process is well described by an unobserved component trend-cycle model with stochastic volatility or, equivalently, an …
Persistent link: https://www.econbiz.de/10012761277
We compare the out-of-sample forecasting performance of univariate homoskedastic, GARCH, autoregressive and nonparametric models for conditional variances, using five bilateral weekly exchange rates for the dollar, 1973-1989. For a one week horizon, GARCH models tend to make slightly more...
Persistent link: https://www.econbiz.de/10013225431
tackle several measurement issues assessing a plethora of state-of-the-art volatility forecasting models. We then examine the …
Persistent link: https://www.econbiz.de/10013082768
forecasting of daily and lower frequency volatility and return distributions. Most procedures for modeling and forecasting … ARCH or stochastic volatility models, which often perform poorly at intraday frequencies. Use of realized volatility … variation, we formally develop the links between the conditional covariancematrix and the concept of realized volatility. Next …
Persistent link: https://www.econbiz.de/10012787458
This paper is an investigation into the determinants of asymmetries in stock returns. We develop a series of cross-sectional regression specifications which attempt to forecast skewness in the daily returns of individual stocks. Negative skewness is most pronounced in stocks that have...
Persistent link: https://www.econbiz.de/10012763325