본문 바로가기
  • Home

Examining the Determinants of Systematic Risk in the Hotel and Casino Industry: An Application of Quantile Regression

  • Journal of Tourism Sciences
  • Abbr : JTS
  • 2010, 34(7), pp.277-291
  • Publisher : The Tourism Sciences Society Of Korea
  • Research Area : Social Science > Tourism

김상혁 1

1경성대학교

Accredited

ABSTRACT

Using quantile regression analysis, this study identifies the determinants of systematic risk in the hotel and casino industry. The quantile regression method enables to estimate whether different levels of systematic risks in the hotel and casino companies have different determinants of systemic risk or not. Results of the OLS regression analysis show that only debt ratio is the determinant of systematic risk in the hotel and casino companies. However, the results of quanitle regression analysis provide that debt ratio, return on asset, firm size are differently related with different levels of systematic risk. Results from this study suggest that quantile regression analysis provide more concise results than OLS regression analysis in identifying the determinants of systematic risk in the hotel and casino industry. This study also proposes the possibility of utilizing the quantile regression analysis for different topics in the hospitality study.

Citation status

* References for papers published after 2023 are currently being built.