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Firm size proxies and the value relevance of predictive stock return models

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This paper investigates differences in value relevance of predictive stock return models depending on which firm size proxy (or proxies) is used, these being market value ( MV ), total… Click to show full abstract

This paper investigates differences in value relevance of predictive stock return models depending on which firm size proxy (or proxies) is used, these being market value ( MV ), total book assets ( TBA ) and market value of total book assets ( MVTA ). Over the 27 year period of 1989–2015, MV provides higher value relevance in predicting future returns, while TBA provides higher value relevance when limited to large firms. Moreover, results reveal incremental explanatory power of approximately 27% when TBA are added to a one-year-ahead returns model already containing MV . The increase is 60% when examining only the last 10 years of the sample period. The findings of this study will help future accounting and finance research that uses predictive return models and potentially allow investors to make better resource allocation decisions leading to higher risk adjusted returns. In addition, the findings related to TBA will add to the debate on whether standard setters should place more emphasis on the valuation of assets and liabilities relative to earnings.

Keywords: value relevance; return models; value; finance

Journal Title: Journal of Economics and Finance
Year Published: 2019

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