This paper examines CMBS loans originated from 2004 to 2007 in order to find the correct model specifications for loan default during the Great Recession. The data controls for loan-to-value, debt-service coverage ratio, debt-yield, loan rate, loan spread, term lengths, loan origination year, asset class, refinance or acquisition, and demographic data of state income and sales tax rates, state education spending per pupil, education rates by MSA, unemployment rates by MSA, and median household income by zip. The study affirms existing research that LTV and debt yield are significantly correlated with default probability, found a strong relationship between loan rate, but not spread on default, affirmed industry knowledge that lodging is gen...
Arguably, the credit risk models reported in the literature for the retail lending sector have so fa...
Since 1960, researchers have used proxies, such as debt-to-income ratio, loan-to-value ratio, combin...
In this thesis, I investigate effective predictors for corporate defaults and measurement of economi...
This paper examines CMBS loans originated from 2004 to 2007 in order to find the correct model speci...
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Architecture, 2003.Includes bibliogra...
With more than $1.48 trillion in outstanding student loans and nearly five million Americans in defa...
To date, the ~$1Trillion CMBS sector in the US does not actively utilize widely accepted advanced d...
This paper provides a comprehensive default estimation of commercial real estate loans with a comple...
Abstract This paper uses a structural credit risk model, providing an analytical formula to estimate...
This research models default development for a large proprietary dataset of private (nonfederally gu...
Abstract: This paper uses unique SME loan-level data complete with quarterly loan ratings assigned b...
This paper solves a dynamic model of a household's decision to default on its mortgage, taking into ...
This study analyzes the impact of contemporaneous loan stress on the termination of loans in the com...
This thesis presents three studies on credit risk modelling. The first study compares the real defau...
Abstract This paper calculates loan-by-loan estimates of commercial real estate implied volatility u...
Arguably, the credit risk models reported in the literature for the retail lending sector have so fa...
Since 1960, researchers have used proxies, such as debt-to-income ratio, loan-to-value ratio, combin...
In this thesis, I investigate effective predictors for corporate defaults and measurement of economi...
This paper examines CMBS loans originated from 2004 to 2007 in order to find the correct model speci...
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Architecture, 2003.Includes bibliogra...
With more than $1.48 trillion in outstanding student loans and nearly five million Americans in defa...
To date, the ~$1Trillion CMBS sector in the US does not actively utilize widely accepted advanced d...
This paper provides a comprehensive default estimation of commercial real estate loans with a comple...
Abstract This paper uses a structural credit risk model, providing an analytical formula to estimate...
This research models default development for a large proprietary dataset of private (nonfederally gu...
Abstract: This paper uses unique SME loan-level data complete with quarterly loan ratings assigned b...
This paper solves a dynamic model of a household's decision to default on its mortgage, taking into ...
This study analyzes the impact of contemporaneous loan stress on the termination of loans in the com...
This thesis presents three studies on credit risk modelling. The first study compares the real defau...
Abstract This paper calculates loan-by-loan estimates of commercial real estate implied volatility u...
Arguably, the credit risk models reported in the literature for the retail lending sector have so fa...
Since 1960, researchers have used proxies, such as debt-to-income ratio, loan-to-value ratio, combin...
In this thesis, I investigate effective predictors for corporate defaults and measurement of economi...