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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
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 … and forecasting. Building on the theory of continuous-time arbitrage-free price processes and the theory of quadratic …
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
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
interaction of momentum with market capitalization, firm age, trading volume, and stock return volatility. However, the model …
Persistent link: https://www.econbiz.de/10013130782
We examine the evidence on excess stock return predictability in a Bayesian setting in which the investor faces uncertainty about both the existence and strength of predictability. When we apply our methods to the dividend-price ratio, we find that even investors who are quite skeptical about...
Persistent link: https://www.econbiz.de/10013121048
It is well known that augmenting a standard linear regression model with variables that are correlated with the error term but uncorrelated with the original regressors will increase asymptotic efficiency of the original coefficients. We argue that in the context of predicting excess returns,...
Persistent link: https://www.econbiz.de/10012758593
simple form with forward rates: as theory suggests, the largest discrepancies are at short maturities. (ii) Reasonable …
Persistent link: https://www.econbiz.de/10012763624
We construct portfolios of stocks and of bonds that are maximally predictable with respect to a set of ex ante observable economic variables, and show that these levels of predictability are statistically significant, even after controlling for data-snooping biases. We disaggregate the sources...
Persistent link: https://www.econbiz.de/10012763656
When a rate of return is regressed on a lagged stochastic regressor, such as a dividend yield, the regression disturbance is correlated with the regressor's innovation. The OLS estimator's finite-sample properties, derived here, can depart substantially from the standard regression setting....
Persistent link: https://www.econbiz.de/10012763765