Semiparametric Estimation of a Corporate Bond Rating Model
نویسندگان
چکیده
This paper investigates the incentive of credit rating agencies (CRAs) to bias ratings using a semiparametric, ordered-response model. The proposed model explicitly takes conflicts interest into account and allows depend flexibly on risk attributes through semiparametric index structure. Asymptotic normality for estimator is derived after several correction techniques. Using Moody’s data from 2001 2016, I found that firms related shareholders were more likely receive better ratings. Such favorable treatments pronounced in investment grade bonds compared with high yield bonds, 2007–2009 financial crisis being an exception. Parametric models, such as ordered-probit, failed identify this heterogeneity across different bond categories.
منابع مشابه
The Impact of Bond Rating Changes on Corporate Bond Prices
I examine the corporate bond market reaction to bond rating changes using newly available corporate bond transaction data from the over-the-counter (OTC) market. I document significant price responses to both downgrades and upgrades in the in two-day period surrounding announcements. Since numerous studies find no evidence of a stock price reaction do upgrades, my findings adds to the literatur...
متن کاملA Case-based Reasoning Approach for Corporate Bond Rating
Case-based reasoning is a problem solving technique by re-using past cases and experiences to find solutions to problems. The central tasks that CBR methods have to deal with are to identify the current problem situation, find a past case similar to the new one, use that case to suggest a solution to the current problem, evaluate the proposed solution, and update the system by learning from thi...
متن کاملEstimation of a Semiparametric Transformation Model
This paper proposes consistent estimators for transformation parameters in semiparametric models. The problem is to find the optimal transformation into the space of models with a predetermined regression structure like additive or multiplicative separability. We give results for the estimation of the transformation when the rest of the model is estimated nonor semi-parametrically and fulfills ...
متن کاملEfficient Estimation in a Semiparametric Autoregressive Model
This paper constructs eecient estimates of the parameter in the semi-parametric autoregression model X t = X t?1 + (X t?2) + t with a smooth function and independent and identically distributed innovations t with zero means and nite variances. This will be done under the assumptions that jj + lim sup jxj!1 j(x)j jxj < 1 and that the errors have a density with nite Fisher information for locatio...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Econometrics
سال: 2021
ISSN: ['2225-1146']
DOI: https://doi.org/10.3390/econometrics9020023