Showing 1 - 10 of 76
such innovations. The overall contribution of the variable is evaluated in an out-of-sample forecasting exercise, where we …
Persistent link: https://www.econbiz.de/10014620805
Building upon Beaudry and Koop's (1993) analysis, we consider a "current depth of the recession" (CDR) variable in modeling the time-series behavior of the postwar quarterly U.S. unemployment rate. The CDR approach is consistent with the state-dependent behavior in the unemployment rate...
Persistent link: https://www.econbiz.de/10014620807
-of-sample performance measures. The criteria considered include system criteria, where we evaluate multiequation forecasting models, and …
Persistent link: https://www.econbiz.de/10014620808
that forecasting behavior systematically deviates from normative predictions: Forecasters overreact to forecast errors in …
Persistent link: https://www.econbiz.de/10010990449
We integrate a case-based model of probability judgment with prospect theory to explore asset pricing under uncertainty. Research within the "heuristics and biases" tradition suggests that probability judgments respond primarily to case-specific evidence and disregard aggregate characteristics...
Persistent link: https://www.econbiz.de/10010990558
In this paper, we extract common factors from a cross-section of U.S. macro-variables and Treasury zero-coupon yields. We find that two macroeconomic factors have an important predictive content for government bond yields and excess returns. These factors are not spanned by the cross-section of...
Persistent link: https://www.econbiz.de/10010886225
forecasting errors in realized volatility are substantive. Even though returns standardized by ex post quadratic variation …
Persistent link: https://www.econbiz.de/10011272575
In this paper we consider modeling and forecasting of large realized covariance matrices by penalized vector …
Persistent link: https://www.econbiz.de/10011256058
forecasting errors in realized volatility are substantive. Even though returns standardized by ex post quadratic variation …
Persistent link: https://www.econbiz.de/10011256164
A Kalman filter for application to stationary or non-stationary time series is proposed. A major feature is a new initialisation method to accommodate non-stationary time series. The filter works on time series with missing values at any point of time including the initialisation phase. It can...
Persistent link: https://www.econbiz.de/10005246258