2018
DOI: 10.1007/s11146-018-9688-6
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Computation of Hedging Coefficients for Mortgage Default and Prepayment Options: Malliavin Calculus Approach

Abstract: This study explores the hedging coefficients of the financial options to default and to prepay embedded into mortgage contracts based on the change in spot rate, underlying house price and its volatility. In the computations, the finite-dimensional Malliavin calculus is applied since the distribution of both options is unknown and their payoffs are non-differentiable. Naturally, the hedging coefficients are obtained as a product of option's payoff and an independent weight, which permits the user to derive est… Show more

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Cited by 7 publications
(4 citation statements)
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“…As a matter of fact, the seasonal ARIMA and exponential smoothing models are forecasting some negative returns within the given forecasting period which should be considered as a warning for Turkey's housing market for the future. On the other hand, GLM and VAR models illustrate that along with the selected well-known explanatory variables, Turkish markets show dependence highly on gold, inflation and foreign exchange rate compared to other important economic indicators contrary to developed markets, such as USA which is highly dominated by mortgage rate (Yilmaz, 2019;Yilmaz and Selcuk-Kestel, 2019 To observe the stationary and invertibility of the univariate time series models we show the complex roots of the polynomials lie outside the unit circle. Therefore, for the sake of simplicity, we plot the inverse roots of the selected models instead in Figure 5.…”
Section: Discussionmentioning
confidence: 98%
See 1 more Smart Citation
“…As a matter of fact, the seasonal ARIMA and exponential smoothing models are forecasting some negative returns within the given forecasting period which should be considered as a warning for Turkey's housing market for the future. On the other hand, GLM and VAR models illustrate that along with the selected well-known explanatory variables, Turkish markets show dependence highly on gold, inflation and foreign exchange rate compared to other important economic indicators contrary to developed markets, such as USA which is highly dominated by mortgage rate (Yilmaz, 2019;Yilmaz and Selcuk-Kestel, 2019 To observe the stationary and invertibility of the univariate time series models we show the complex roots of the polynomials lie outside the unit circle. Therefore, for the sake of simplicity, we plot the inverse roots of the selected models instead in Figure 5.…”
Section: Discussionmentioning
confidence: 98%
“…As commodity gold prices is one of the most influential investment tools in Turkey. In many studies, it is proven that inflation and real estate markets are highly dependent on each other and investing in the real estate market may protect the capital against inflation (Yilmaz, 2019;Yilmaz and Selcuk-Kestel, 2019). Therefore, we take into account inflation and fixed-rate mortgage (FRM) since house prices require most buyers to finance through loan.…”
Section: House Prices and The Related Variablesmentioning
confidence: 99%
“…On the one hand, In Turkish market, gold, foreign exchange and inflation are effective factors compared with the others. On the other hand, in developed countries such as USA, mortgage rate is dominant factor (Yilmaz & Selçuk-Kestel, 2019). The study related to the relationship between inflation and house prices in 26 regions in Turkey, regional differences are important and the policies must be adapted accordingly.…”
Section: Literature Reviewmentioning
confidence: 99%
“…By relying on the efficient market hypothesis in the modern portfolio theory, we may claim the price of a house mirrors all available information in the housing market, which leads us to use the diffusion process as in the studies (Kau et al 1995(Kau et al , 1990Miranda-Mendoza 2010), and (Yilmaz and Selcuk-Kestel 2019). Therefore, it is likely the price of the house is indifferent to the type of purchaser whether the buyer is a large or an individual investor (Allen Marcus et al 2018).…”
Section: Introductionmentioning
confidence: 99%