2011
DOI: 10.19030/jber.v9i2.1815
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Determinants Of Mortgage Delinquency

Abstract: <p class="MsoNormal" style="text-align: justify; margin: 0in 0.5in 0pt; mso-pagination: none;"><span style="font-size: 10pt;"><span style="font-family: Times New Roman;">This paper examines mortgage delinquency rates for loans in each state and Washington, DC from 2004 through 2009 in order to gain insight into the key factors that drive residential mortgage delinquency.<span style="mso-spacerun: yes;">&nbsp; </span>Models are estimated for 30-day, 60-day, 90-day, 90+ day, and… Show more

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Cited by 7 publications
(7 citation statements)
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“…En cuanto a los estudios internacionales, Demyanyk y van Hemert (2011) sostienen que la alta tasa de crecimiento de los precios inmobiliarios enmascara la morosidad de las hipotecas de alto riesgo en un estudio centrado en el periodo 2003-2005. Brent et al (2011 encuentran que los ingresos del acreedor hipotecario y el ciclo económico fueron los factores determinantes en el periodo de 2004-2009.…”
Section: Antecededentesunclassified
“…En cuanto a los estudios internacionales, Demyanyk y van Hemert (2011) sostienen que la alta tasa de crecimiento de los precios inmobiliarios enmascara la morosidad de las hipotecas de alto riesgo en un estudio centrado en el periodo 2003-2005. Brent et al (2011 encuentran que los ingresos del acreedor hipotecario y el ciclo económico fueron los factores determinantes en el periodo de 2004-2009.…”
Section: Antecededentesunclassified
“…The unemployment rate as a determinant of NPLs is studied by Magri & Pico (2011) Ramcharan & Crowe (2013) and Brent et al (2011). All these authors agree that there is a positive correlation between unemployment rate and NPLs, although in the work of the last two authors cited the variable is not statistically significant.…”
Section: Published By Sciedu Pressmentioning
confidence: 99%
“…Festić et al (2011) At the international level Berger & DeYoung (1997) employ Granger causality techniques to test whether cost efficiency in banks pre-dates loan quality, whether loan quality pre-dates cost efficiency, or both, using pooled cross section-time series data on MPLs, operating cost efficiency, equity capital ratios, and other variables for US commercial banks between 1985 and 1994. Brent et al (2011) use panel data with a fixed effects model to examine data on mortgage late payment rates in the USA for 2004 to 2009. Demyanyk & Van Hemert (2011) use loan-level panel data for the USA to analyse the quality of subprime mortgage loans by adjusting their performance for differences in borrower characteristics, loan characteristics, and macroeconomic conditions.…”
Section: Introductionmentioning
confidence: 99%
“…To this end, they use data from cross-sectional series of data on non-performing loans, profitability, capital ratios and other variables for commercial banks in the United States between 1985 and 1994. More recently,Brent et al (2011) use panel data with a fixed effects model to examine data on mortgage late payment rates in the USA for 2004 to 2009.Another study on the US market, that of Demyanyk and Van Hemert (2011), uses loan level panel data to analyse the quality of subprime mortgage loans, examining the characteristics of the loan and macroeconomic conditions. They find that the quality of loans deteriorated for six consecutive years before the crisis, providing evidence that the rise and fall of the subprime mortgage market follows a classic lending boom-bust scenario in which unsustainable growth leads to the collapse of the market.…”
mentioning
confidence: 99%