We perform a comprehensive examination of the recursive, comparative predictive performance of a number of linear and non-linear models for UK stock and bond returns. We estimate Markov switching, threshold autoregressive (TAR), and smooth transition autoregressive (STR) regime switching models,...

This paper develops a flexible multi-dimensional assessment method for the comparison of different statistical-econometric techniques based on learning mechanisms, with a view to analysing and forecasting regional labour markets. The aim of this paper is twofold. A first major objective is to...

We show that the standard condition for MSFE encompassing is no longer valid when the forecasts to be compared are biased. We propose a simple modification of such a condition and of tests for its validity. The relationship between these tests, pooling regressions and tests for non-nested...

In this paper we suggest a framework to assess the degree of reliability of provisional estimates as forecasts of final data, and we reexamine the question of the most appropriate way in which available data should be used for ex ante forecasting in the presence of a data revision process....

This paper implements recursive techniques to estimate the equilibrium level of M2 velocity and to forecast inflation using the P* model. The recursive estimates of equilibrium velocity are obtained by applying regression trees and least squares methods to a standard representation of M2 demand,...

Many researchers use GARCH models to generate volatility forecasts. We show, however, that such forecasts are too variable. To correct for this, we extend the GARCH model by distinguishing two regimes with different volatility levels. GARCH effects are allowed within each regime, so that our...

In this paper, we examine whether the relative price ratio of gold to platinum (GP ratio) can predict the aggregate stock market return in the US and China. We confirm that the GP ratio is a strong predictor of US market excess return; however, it is not a reliable predictor for excess return in...

A large literature establishes a set of predictors that robustly forecast future market returns, raising questions about these predictors' origins. We develop an approach to determine whether a particular predictor represents a proxy for fundamental risk, which is based on an intuitive...

The emergence of the COVID-19 pandemic led state and local governments throughout New England and much of the nation to issue ordinances restricting activity that might otherwise contribute to the spread of the disease. Individuals also freely adjusted their behavior, hoping to reduce the...