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estimation. Despite its importance, few academic contributions have covered this topic. We enhance this literature by developing … estimator based on resolved cases only. Our estimator is appropriate in LGD estimation for wholesale portfolios, where the …
Persistent link: https://www.econbiz.de/10013046479
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Virtually each seasonal adjustment software includes an ensemble of seasonality tests for assessing whether a given time series is in fact a candidate for seasonal adjustment. However, such tests are certain to produce either the same resultor conflicting results, raising the question if there...
Persistent link: https://www.econbiz.de/10012301212
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Our objective is to test for evidence of information asymmetry in the mortgage servicing market. Does the sale of mortgage servicing rights (MSR) by the initial lender to a second servicing institution unveil any residual asymmetric information? We are the first to analyze the originator's...
Persistent link: https://www.econbiz.de/10015327697
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We propose a flexible and robust non-parametric local logit regression for modelling and predicting defaulted loans' recovery rates that lie in [0,1]. Applying the model to the widely studied Moody's recovery dataset and estimating it by a data-driven method, the local logit regression uncovers...
Persistent link: https://www.econbiz.de/10012945593
We estimated the effects of Environmental, Social, and Governance (ESG) scores on the credit ratings of firms in the sectors of manufacturing, mining and quarrying, wholesale and retail trade, information and communication, and real estate activities and located in North America, Europe, and...
Persistent link: https://www.econbiz.de/10013324523
This paper investigates and extends the computationally attractive nonparametric random coefficients estimator of Fox, Kim, Ryan, and Bajari (2011). We show that their estimator is a special case of the nonnegative LASSO, explaining its sparse nature observed in many applications. Recognizing...
Persistent link: https://www.econbiz.de/10012109678
This paper investigates and extends the computationally attractive nonparametric random coefficients estimator of Fox, Kim, Ryan, and Bajari (2011). We show that their estimator is a special case of the nonnegative LASSO, explaining its sparse nature observed in many applications. Recognizing...
Persistent link: https://www.econbiz.de/10012099239