Showing 1 - 10 of 17
This paper examines the predictive ability of the consumption-wealth ratio for the U.S. bear stock market using quarterly data on the S&P500 index. By evaluating the in-sample and out-of-sample performance with, respectively, the Pseudo-$R^2$ and the quadratic probability score, it is found that...
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In this article we extend the martingale difference test of Kuan and Lee (2004) to tests of conditional moment restrictions involving unknown parameters. The proposed test is asymptotically pivotal, easy to implement and capable of diagnostic checking misspecifications of quantile regressions....
Persistent link: https://www.econbiz.de/10005435594
In this paper we propose a new class of tests for the martingale difference hypothesis based on the moment conditions derived by Bierens (1982). In contrast with the existing consistent tests, the proposed test has a standard limiting distribution and is easy to implement. Comparing with many...
Persistent link: https://www.econbiz.de/10005459049
This paper extends Kiefer, Vogelsang, and Bunzel (2000) and Kiefer and Vogelsang (2002b) to propose a class of over-identifying restrictions (OIR) tests that are robust to heteroskedasticity and serial correlations of unknown form. These OIR tests do not require consistent estimation of the...
Persistent link: https://www.econbiz.de/10010739165
We propose new over-identifying restriction (OIR) tests that are robust to heteroskedasticity and serial correlations of unknown form. The proposed tests do not require consistent estimation of the asymptotic covariance matrix and hence avoid choosing the bandwidth in nonparametric kernel...
Persistent link: https://www.econbiz.de/10010785290
In this paper we propose a new class of tests for the martingale difference hypothesis based on the moment conditions derived by Bierens (1982). In contrast with the existing consistent tests, the proposed test has a standard limiting distribution and is easy to implement. Comparing with many...
Persistent link: https://www.econbiz.de/10004966225
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