Showing 1 - 10 of 261
This paper develops a covariate-based approach to the external validity of instrumental variables (IV) estimates. Assuming that differences in observed complier characteristics are what make IV estimates differ from one another and from parameters like the effect of treatment on the treated, we...
Persistent link: https://www.econbiz.de/10008756465
volatility over the next month, but with decreasing realized volatility. These predictability patterns are consistent with …
Persistent link: https://www.econbiz.de/10010951430
We introduce a new, hybrid measure of stock return tail covariance risk, motivated by the under-diversified portfolio holdings of individual investors, and investigate its cross-sectional predictive power. Our key innovation is that this covariance is measured across the left tail states of the...
Persistent link: https://www.econbiz.de/10010692203
This paper shows that the asymptotic normal approximation is often insufficiently accurate for volatility estimators …
Persistent link: https://www.econbiz.de/10005248985
findings of the empirical literature: excess volatility of the market price compared to the asset's fundamental value, serially … correlated volatility, contemporaneous volume-volatility correlation, and excess kurtosis of price changes. We implement a …
Persistent link: https://www.econbiz.de/10005829138
This paper investigates whether oil prices have a reliable and stable out-of-sample relationship with the Canadian/U.S dollar nominal exchange rate. Despite state-of-the-art methodologies, we find little systematic relation between oil prices and the exchange rate at the monthly and quarterly...
Persistent link: https://www.econbiz.de/10011227945
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/10005720382
Forecast evaluation often compares a parsimonious null model to a larger model that nests the null model. Under the null that the parsimonious model generates the data, the larger model introduces noise into its forecasts by estimating parameters whose population values are zero. We observe that...
Persistent link: https://www.econbiz.de/10005832264
We consider using out-of-sample mean squared prediction errors (MSPEs) to evaluate the null that a given series follows a zero mean martingale difference against the alternative that it is linearly predictable. Under the null of no predictability, the population MSPE of the null "no change"...
Persistent link: https://www.econbiz.de/10005779026
Long-run forecasts of economic variables play an important role in policy, planning, and portfolio decisions. We consider long-horizon forecasts of average growth of a scalar variable, assuming that first differences are second-order stationary. The main contribution is the construction of...
Persistent link: https://www.econbiz.de/10010796670