Forecasts by rational agents contain embedded initial and terminal boundary conditions. Standard time series models generate two types of long-run "endpoints"---fixed endpoints and moving average endpoints. Neither can explain the shifting endpoints implied by postwar movements in the...

Forecasts by rational agents contain embedded initial and terminal boundary conditions. Standard time series models generate two types of long-run "endpoints"--fixed endpoints and moving average endpoints. Neither can explain the shifting endpoints implied by postwar movements in the...

We study whether aggregation residuals in U.S. private investment in information technology (IT) exhibit a predictable pattern that is consistent with Hicks' composite-good theorem and that may be used for forecasting. To determine whether one can extract such a pattern, we apply the...

This paper proposes a tripartite framework of design, evaluation, and post-evaluation analysis for generating and interpreting economic forecasts. This framework's value is illustrated by re-examining mean square forecast errors from dynamic models and nonlinearity biases from empirical...

Exchange rate forecasting is hard and the seminal result of Meese and Rogoff (1983) that the exchange rate is well approximated by a driftless random walk, at least for prediction purposes, has never really been overturned despite much effort at constructing other forecasting models. However, in...

This paper provides an introduction to predictable forecast uncertainty in empirical economic modelling. The sources of both predictable and unpredictable forecast uncertainty are categorized. Key features of predictable forecast uncertainty are illustrated by several analytical models,...

If forecasts of economic activity are to rely on preliminary data, the predictable component of the data revisions should be taken into account. This paper applies the Kalman filter to improve the forecast accuracy of published preliminary estimates of retail sales. Successive estimates of...

While it is clear that the volatility of asset returns is serially correlated, there is no general agreement as to the most appropriate parametric model for characterizing this temporal dependence. In this paper, we propose a simple way of modeling financial market volatility using high...

A forecast of the correlation between two asset prices is required to price or hedge an option whose payoff depends on both asset prices or to measure the risk of a portfolio whose return depends on both asset prices. However, a number of factors make it difficult to evaluate forecasts of...