936 resultados para mortgage loan pricing


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Loan mortgage interest rates are usually the result of a bank-customer negotiation process. Credit risk, consumer cross-buying potential, bundling, financial market competition and other features affecting the bargaining power of the parties could affect price. We argue that, since mortgage loan is a complex product, consumer expertise could be a relevant factor for mortgage pricing. Using data on mortgage loan prices for a sample of 1055 households for the year 2005 (Bank of Spain Survey of Household Finances, EFF-2005), and including credit risk, costs, potential capacity of the consumer to generate future business and bank competition variables, the regression results indicate that consumer expertise-related metrics are highly significant as predictors of mortgage loan prices. Other factors such as credit risk and consumer cross-buying potential do not have such a significant impact on mortgage prices. Our empirical results are affected by the credit conditions prior to the financial crisis and could shed some light on this issue.

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Atkins, Sarah A. and Carlisle A. Gardner includes: Application for Loan, July 26, 1884; Mortgage Loan Envelope no. 255 for July 1, 1884 – July 1, 1889 and Abstract of Title, August 28, 1884.

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Cogswell, Maria, includes: Application for loan on Real Estate, Feb. 20, 1882; Insurance Policy no. 2199780 from the Royal Insurance Company of Liverpool, March 17, 1887 and Mortgage Loan Envelope for mortgage no. 1535 from March 1, 1882 – March 1, 1887.

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Crew, Isaac M., includes: Application for Loan, March 10, 1885; Mortgage Loan Envelope no. 679 for Jan. 1, 1885 – Jan. 1, 1890 and Abstract of Title, April 13, 1885.

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Crick, Henry A., includes Application for Loan, Jan. 8, 1885 and Mortgage Loan Envelope no. 637 for Jan. 1, 1885 – Jan. 1, 1890.

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Mank, Isaac, Mortgage Loan Envelope no. 640 for Jan. 1, 1885 – Jan. 1, 1890

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Schmidt, John, includes: Application for Loan, Aug. 8, 1884 and Mortgage Loan Envelope no. 302 for July 1, 1884 – July 1, 1889 and Abstract of Title, Sept. 6, 1884.

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This paper presents the findings of the study that examines how income multiples for mortgage loan associates with home repossession using the data of the Council of Mortgage Lenders (CML). It employs a statistical measure for improving regression efficiency with conditioning information in the form of lagged instrument to unravel the pattern of association evident from the data. Based on the data, the study investigates what level of income multiples is optimum – that is the income multiple that minimises home repossession. A sensitivity analysis was undertaken to show how home repossession responds to changes in income multiples. For each of the analytical tasks, the study compares the aggregate market, first-time-buyers, and home movers.

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Includes bibliography

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Um dos aspectos regulatórios fundamentais para o mercado imobiliário no Brasil são os limites para obtenção de financiamento no Sistema Financeiro de Habitação. Esses limites podem ser definidos de forma a aumentar ou reduzir a oferta de crédito neste mercado, alterando o comportamento dos seus agentes e, com isso, o preço de mercado dos imóveis. Neste trabalho, propomos um modelo de formação de preços no mercado imobiliário brasileiro com base no comportamento dos agentes que o compõem. Os agentes vendedores têm comportamento heterogêneo e são influenciados pela demanda histórica, enquanto que os agentes compradores têm o seu comportamento determinado pela disponibilidade de crédito. Esta disponibilidade de crédito, por sua vez, é definida pelos limites para concessão de financiamento no Sistema Financeiro de Habitação. Verificamos que o processo markoviano que descreve preço de mercado converge para um sistema dinâmico determinístico quando o número de agentes aumenta, e analisamos o comportamento deste sistema dinâmico. Mostramos qual é a família de variáveis aleatórias que representa o comportamento dos agentes vendedores de forma que o sistema apresente um preço de equilíbrio não trivial, condizente com a realidade. Verificamos ainda que o preço de equilíbrio depende não só das regras de concessão de financiamento no Sistema Financeiro de Habitação, como também do preço de reserva dos compradores e da memória e da sensibilidade dos vendedores a alterações na demanda. A memória e a sensibilidade dos vendedores podem levar a oscilações de preços acima ou abaixo do preço de equilíbrio (típicas de processos de formação de bolhas); ou até mesmo a uma bifurcação de Neimark-Sacker, quando o sistema apresenta dinâmica oscilatória estável.

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The South Carolina Department of Consumer Affairs publishes an annual mortgage log report as a requirement of the South Carolina Mortgage Lending Act, which became effective on January 1, 2010. The mortgage log report analyzes the following data, concerning all mortgage loan applications taken: the borrower’s credit score, term of the loan, annual percentage rate, type of rate, and appraised value of the property. The mortgage log report also analyzes data required by the Home Mortgage Disclosure Act, including the following information: the loan type, property type, purpose of the loan, owner/occupancy status, loan amount, action taken, reason for denial, property location, gross annual income, purchaser of the loan, rate spread, HOEPA status, and lien status as well as the applicant and co-applicant’s race, ethnicity, and gender.

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The Consumer Finance Division of the South Carolina State Board of Financial Institutions is responsible for the supervision, licensing and examination of all consumer finance companies, deferred presentment companies, check cashing companies, and non-depository mortgage lenders and their loan originators. This project specifically focuses on the licensing of Mortgage Lender/Servicer ( company), Mortgage Lender/Servicer Branch (branch) and Mortgage Loan Originator (loan originator) licenses. The problem statement is how the Division can handle increasing the number of mortgage loan originators in the state without delaying the time to process applications. The goal of this project is to make the current licensing process more efficient so that the Division can handle the increased workload without having to hire additional personnel.

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Las previsiones del número de personas mayores en España para el año 2050 se han disparado. Un aumento de la población mayor que supondrá grandes dificultades para un sistema público de pensiones cuya viabilidad está en duda. España es un país en el que la cultura del ahorro a través de la vivienda en propiedad está muy arraigada. Sin embargo, en la actualidad existe un auge de las personas que optan por el alquiler como forma de residencia. Por ello, durante este trabajo se analiza la vida de una persona que optará bien por la compra de una vivienda o bien por el alquiler de una vivienda para complementar su futura pensión pública. Mediante la compra de vivienda, y una vez amortizado el préstamo hipotecario que deberá soportar, se le presentaran los productos denominados vivienda pensión e hipoteca inversa para financiar las posibles necesidades que puedan surgir en su jubilación. Por otro lado, el arrendatario optara por un producto de ahorro a largo plazo, cuya rentabilidad variara a lo largo del tiempo en función de su aversión al riesgo, de manera que llegado el momento de la jubilación disponga de un capital.

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Dissertação para obtenção do grau de Mestre em Engenharia Civil na Área de Especialização de Edificações

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This paper investigates the behavior of residential property and examines the linkages between house price dynamics and bank herding behavior. The analysis presents evidence that irrational behaviour may have played a significant role in several countries, including; United Kingdom, Spain, Denmark, Sweden and Ireland. In addition, we also provide evidence indicative of herding behaviour in the European residential mortgage loan market. Granger Causality tests indicate that non-fundamentally justified prices dynamics contributed to herding by lenders and that this behaviour was a response by the banks as a group to common information on residential property assets. In contrast, in Germany, Portugal and Austria, residential property prices were largely explained by fundamentals. Furthermore, these countries show no evidence of either irrational price bubbles or herd behaviour in the mortgage market. Granger Causality tests indicate that both variables are independent.