Abstract. We propose a sequential test for predictive ability. The test is designed for regressions in which the researcher is interested in recursively assess-ing whether some economic variables have predictive or explanatory content for another variable. It is common in the forecasting literature to assess predictive ability by using “one-shot ” tests at each estimation period. We show that this practice: (i) leads to size distortions; (ii) selects overfitted models and provides spurious evidence of in-sample predictive ability; (iii) may lower the accuracy of the model selected by the test. The usefulness of the proposed test is shown in well-known empirical applications to the real-time predictive content of money for output, and the se...
Many statistical and economic criteria must influence the overall evaluation of econometric systems,...
When a k period future return is regressed on a current variable such as the log dividend yield, the...
We develop tests for the null hypothesis that forecasts become uninformative beyond some maximum for...
We develop regression-based tests of hypotheses about out of sample prediction errors. Representativ...
We argue that the current framework for predictive ability testing (e.g., West, 1996) is not necessa...
We propose a new test for superior predictive ability. The new test compares favorable to the realit...
In this chapter we discuss model selection and predictive accuracy tests in the context of parameter...
There is a vast literature that has been focusing on testing the forecasting performance of various ...
Predictive regressions are linear specifications linking a noisy variable such as stock returns to p...
In this chapter we discuss model selection and predictive accuracy tests in the context of pa-ramete...
This paper is concerned with detecting the presence of out of sample predictability in linear predic...
Research in finance and macroeconomics has routinely employed multiple horizons to test asset return...
Testing the predictability of the predictive regression model is of great interest in economics and ...
Predictive regressions are linear specifications linking a noisy variable such as stock returns to p...
Predictive regressions are a widely used econometric environment for assessing the predictability of...
Many statistical and economic criteria must influence the overall evaluation of econometric systems,...
When a k period future return is regressed on a current variable such as the log dividend yield, the...
We develop tests for the null hypothesis that forecasts become uninformative beyond some maximum for...
We develop regression-based tests of hypotheses about out of sample prediction errors. Representativ...
We argue that the current framework for predictive ability testing (e.g., West, 1996) is not necessa...
We propose a new test for superior predictive ability. The new test compares favorable to the realit...
In this chapter we discuss model selection and predictive accuracy tests in the context of parameter...
There is a vast literature that has been focusing on testing the forecasting performance of various ...
Predictive regressions are linear specifications linking a noisy variable such as stock returns to p...
In this chapter we discuss model selection and predictive accuracy tests in the context of pa-ramete...
This paper is concerned with detecting the presence of out of sample predictability in linear predic...
Research in finance and macroeconomics has routinely employed multiple horizons to test asset return...
Testing the predictability of the predictive regression model is of great interest in economics and ...
Predictive regressions are linear specifications linking a noisy variable such as stock returns to p...
Predictive regressions are a widely used econometric environment for assessing the predictability of...
Many statistical and economic criteria must influence the overall evaluation of econometric systems,...
When a k period future return is regressed on a current variable such as the log dividend yield, the...
We develop tests for the null hypothesis that forecasts become uninformative beyond some maximum for...