Predictability of Stock Returns
DOI:
https://doi.org/10.23918//ijsses.v3i4p105Keywords:
Stock Returns, Theories on Stock Returns, Beta in Finance, Empirical Studies JEL Classification: G10, G11Abstract
Predictability of stock returns has been shown by empirical studies over time. This article collects the most important theories on forecasting stock returns and investigates the factors that affecting behavior of the stocks’ prices and the market as a whole. Estimation of the factors and the way of estimation are the key issues of predictability of stock returns.
References
Breeden, D. T. (1979). An intertemporal asset pricing model with stochastic consumption and investment opportunities. Journal of financial Economics,7(3), 265-296.
Fama, E. F., & French, K. R. (1995). Size and book‐to‐market factors in earnings and returns. The Journal of Finance, 50(1), 131-155.
West, G. (2006). An introduction to modern portfolio theory: Markowitz, CAP-M, APT and blacklitterman. Parktown North: Financial Modelling Agency.
Connor, G., & Korajczyk, R. A. (1995). The arbitrage pricing theory and multifactor models of asset returns. Handbooks in Operations Research and Management Science, 9, 87-144.
Huberman, G., & Wang, Z. (2005). Staff Reports.
Markowitz, H. (1952). Portfolio selection. The Journal of Finance, 7(1), 77-91.
Davis, J. L. (2001). Explaining stock returns: a literature survey. Dimensional Fund Advisers, 22.
Campbell, J. Y., & Yogo, M. (2006). Efficient tests of stock return predictability. Journal of Financial Economics, 81(1), 27-60.
Lewellen, J. W. (2000). On the predictability of stock returns: theory and evidence (Doctoral dissertation, University of Rochester).
Merton, R. C. (1973). An intertemporal capital asset pricing model. Econometrica: Journal of the Econometric Society, 867-887.
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