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Persistent link: https://www.econbiz.de/10003965716
This paper attempts to investigate the impact of credit information sharing on bank-specific stock price crash risk. Using a sample of 1,402 listed-banks in 55 countries for the period 2005-2013, we show that credit information sharing through public credit registries is negatively associated...
Persistent link: https://www.econbiz.de/10012926760
In this paper we developed an econometric model to empirically test the hard-to-borrow model of Avellaneda and Lipkin (2009) where asset prices jump as result of "buy-in" procedures. The model is estimated using an extent version of simulated maximum likelihood (SML) for a selected group of...
Persistent link: https://www.econbiz.de/10013107409
Machine learning (ML) is a novel method that has applications in asset pricing and that fits well within the problem of measurement in economics. Unlike econometrics, ML models are not designed for parameter estimation and inference, but similar to econometrics, they address, and may be better...
Persistent link: https://www.econbiz.de/10013475217
We assess financial theory-based and machine learning-implied measurements of stock risk premia by comparing the … preferable to rely on a theory-based approach instead of engaging in the computerintensive hyper-parameter tuning of statistical … models. The theory-based approach also delivers a solid performance at the one year horizon, at which only one machine …
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regarding rating accuracy and rating theory. The implications of the results for equity valuation are discussed. …
Persistent link: https://www.econbiz.de/10012062966
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We develop a four-factor model intended to capture size, value, and credit rating transition patterns in excess returns for a panel of predominantly mid- and large-cap entities. Using credit transition matrices and rating histories from 48 US issuers, we provide evidence to support a...
Persistent link: https://www.econbiz.de/10012242861