A Bayesian Model Averaging Approach to Enhance Value Investment
AbstractSimple financial ratios such as book-to-market are often used to identify value stocks. This paper examines the extent to which fundamental accounting information can be used to better identify truly undervalued value stocks to enhance profit in a simple value strategy. Gibbs sampling and model averaging are used in a logistic regression setting, employing fundamental accounting information as explanatory variables, in the design of an implementable investment strategy applied to markets in the US, the UK and Australia.
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Bibliographic InfoArticle provided by College of Business, and College of Finance, Feng Chia University, Taichung, Taiwan in its journal International Journal of Business and Economics.
Volume (Year): 5 (2006)
Issue (Month): 2 (August)
model uncertainty; slice sampler; valuation ratio; forecasting; value investing;
Find related papers by JEL classification:
- C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
- C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
- G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
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