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Journal ArticleDOI

Macro variables and international stock return predictability

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TLDR
In this paper, the authors examined the predictability of stock returns using macroeconomic variables in 12 industrialized countries and employed recently developed out-of-sample tests that have increased power, namely, the McCracken [ Asymptotics for out-oftheoretic tests of Granger Causality, Manuscript, University of Missouri-Columbia (2004) and the West [ Econometrica 64 (1996) 1067] test for equal predictive ability.
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This article is published in International Journal of Forecasting.The article was published on 2005-01-01. It has received 339 citations till now. The article focuses on the topics: Granger causality & Business statistics.

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Citations
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Book ChapterDOI

Forecasting Stock Returns

TL;DR: In this paper, the authors survey the literature on stock return forecasting, highlighting the challenges faced by forecasters as well as strategies for improving return forecasts and illustrate key issues via an empirical application based on updated data.
Journal ArticleDOI

Instability of Return Prediction Models

TL;DR: This article examined evidence of instability in models of ex post predictable components in stock returns related to structural breaks in the coefficients of state variables such as the lagged dividend yield, short interest rate, term spread and default premium.
Journal ArticleDOI

Instability of return prediction models

TL;DR: In this paper, the authors examine evidence of instability in models of ex post predictable components in stock returns related to structural breaks in the coefficients of state variables such as the lagged dividend yield, short interest rate, term spread and default premium.
Journal ArticleDOI

Predicting the bear stock market: Macroeconomic variables as leading indicators

TL;DR: In this article, the authors investigated whether macroeconomic variables can predict recessions in the stock market, i.e., bear markets, using both in-sample and out-of-sample tests of the variables' predictive ability.
Journal ArticleDOI

Does the choice of estimator matter when forecasting returns

TL;DR: In this article, the authors examined the role of the choice of estimator of the predictive regression in predicting future returns and found that returns are heteroskedastic, predictors are persistent, and regression errors are correlated with predictor innovations.
References
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ReportDOI

A simple, positive semi-definite, heteroskedasticity and autocorrelation consistent covariance matrix

Whitney K. Newey, +1 more
- 01 May 1987 - 
TL;DR: In this article, a simple method of calculating a heteroskedasticity and autocorrelation consistent covariance matrix that is positive semi-definite by construction is described.
Posted Content

Comparing Predictive Accuracy

TL;DR: The authors describes the advantages of these studies and suggests how they can be improved and also provides aids in judging the validity of inferences they draw, such as multiple treatment and comparison groups and multiple pre- or post-intervention observations.
Journal ArticleDOI

The arbitrage theory of capital asset pricing

TL;DR: Ebsco as mentioned in this paper examines the arbitrage model of capital asset pricing as an alternative to the mean variance pricing model introduced by Sharpe, Lintner and Treynor.
Journal ArticleDOI

An intertemporal capital asset pricing model

Robert C. Merton
- 01 Sep 1973 - 
TL;DR: In this article, an intertemporal model for the capital market is deduced from portfolio selection behavior by an arbitrary number of investors who aot so as to maximize the expected utility of lifetime consumption and who can trade continuously in time.
Posted Content

A Simple, Positive Semi-Definite, Heteroskedasticity and Autocorrelationconsistent Covariance Matrix

TL;DR: In this article, a simple method of calculating a heteroskedasticity and autocorrelation consistent covariance matrix that is positive semi-definite by construction is described.
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