Exploring industry-distress effects on loan recovery: a double machine learning approach for quantiles

HIGHLIGHTS

  • who: Hui-Ching Chuang and Jau-er Chen from the College of Management, Yuan Ze University, Taoyuan, Taiwan have published the article: Exploring Industry-Distress Effects on Loan Recovery: A Double Machine Learning Approach for Quantiles, in the Journal: Econometrics 2023, 11, 6. of /2023/
  • what: The authors explore the effect of industry distress on recovery rates by using the unconditional quantile regression (UQR). The authors investigate the effects of the following debt characteristics: collateral status, collateral quality, instrument type, and debt cushion level. The unknown parameter u03b2CQR can be estimated by minimizing the following . . .

     

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