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- W2613973728 abstract "To compare previous studies, this study re-examines the determinants of systematic risk in the restaurant industry. To estimate systematic risk, the authors specify flexible models that take care of serial dependence, autoregressive conditional heteroskedasticity and non-normality of the time series data. Using the estimated systematic risk, they analyse the determinants of risk using a quantile regression approach. The empirical results show that a firm’s liquidity ratio, efficiency ratio, debt leverage ratio and size are the main determinants of systematic risk in the restaurant industry. Moreover, it turns outthat theeffects of liquidity, debt leverage and efficiency decrease as the considered risk levels increase." @default.
- W2613973728 created "2017-05-19" @default.
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- W2613973728 date "2016-01-01" @default.
- W2613973728 modified "2023-09-27" @default.
- W2613973728 title "Research Note: Determinants of systematic risk in the US Restaurant industry: A technical perspective" @default.
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