Market and Accounting Risk Factors of Asset Pricing in the Classical and Downside Approaches
Market and Accounting Risk Factors of Asset Pricing in the Classical and Downside Approaches

Summary/Abstract: Theoretical background: The variability of the company’s profitability is the result of the accompanying risk. To compare the profitability of many companies, relative profitability measures, which include profitability ratios, are more convenient. This article analyses market and accounting risk factors of CAPM. Risk was considered in variance and downside framework. Market betas, accounting betas were used in an extended version of the asset pricing model. Additionally, the influence of profitability ratios, such as ROA and ROE on the average rate of return on the capital market are considered.Purpose of the article: The main purpose of this study is to test the standard and extended CAPM relations between systematic risk measures and mean returns for single companies quoted on the Polish capital market and equally-weighted portfolios in two approaches: variance and downside risk.Research methods: The research based on individual securities and portfolios, compares the one-factor risk-return relationships with two-factor ones estimated using mean returns in cross-sectional regressions. The regressors were expressed in absolute terms and classical and downside beta coefficients. The sample includes companies differing in terms of size and across different industries.Main findings: Portfolios with higher classical or downside market betas generate higher mean returns. The negative risk premium for accounting betas for variance and downside risk was identified. It is not in accordance with our earlier study of the Polish construction sector, where a positive and significant risk premium for downside accounting betas was found. The highest explanatory power of rates on returns on the Polish capital market were found for average ROA and ROE. This confirms the results of the previous studies on the Polish capital market for food and construction sectors.

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