住房反向抵押贷款定价模型的比较分析

文中分析比较了两种典型定价模型——支付因子定价模型和保险精算定价模型。从激励机制和约束机制角度比较的结果是,支付因子定价模型的约束更强一些,即可通过设定贷款限额防止银行出现亏损;而保险精算定价模型的激励更大一些,即可通过调节银行的利润率使其有利可图。另外还从老年人的年龄、利率和房价波动入手,分析定价模型的敏感性。     

住房反向抵押贷款研究综述

随着我国人口老龄化程度的不断加深,养老问题日益突出,而实施住房反向抵押贷款是一种有效地解决养老压力的方案.本文重点从住房反向抵押贷款的风险管理、产品定价和推广模式等方面对国内外的研究成果进行梳理,以促进该金融产品在国内的研究和推广.     

利率市场化下商业银行贷款定价模型研究

我国利率市场化改革从前期探索到走向成熟必然经历不同阶段,贷款利率定价亦将面临不同的资金供求格局和市场特点。本文主要分析如何运用多元线性回归模型和公司因素分析的方法,设计出贷款定价模型,并针对我国商业银行贷款定价的现状提出了建议。     

住房反向抵押贷款与传统抵押贷款的比较研究

在本文的论述中,首先对传统的住房抵押贷款和住房反向抵押贷款的概念进行了详细阐述,并对这二者的异同进行了对比分析,在此基础上对住房反向抵押贷款理论进行了相关解释。     

农村信用社贷款利率定价模型初探

通过对我国现行金融机构贷款利率定价模型的比较分析,结合我国农村信用社的具体业务特点,提出现阶段我国农村信用社贷款利率应综合运用基准利率加点定价和成本加成定价两种模型。通过对陕西省商洛市一家具有代表性的农村信用社实践经验的总结,验证了综合定价模型的实用价值和可推广性,同时也指出了这种综合定价模型在推广应用过程中应当关注和进一步研究的方面。     

住房反向抵押贷款时机选择研究

我国正快速步入老龄化社会,如果仅仅依靠现行的社会保障制度和传统的家庭养老模式,很难应对必然到来的老龄化危机．住房反向抵押贷款作为以房养老的一种方式,是对上述两种养老方式的有益补充．文章通过模型定量分析住房反向抵押贷款时机选择问题,得出在“预期房价升值率越低、预期利率越高”和“住房价值越高、预期期限越长”的情况下,理性经济人会选择住房反向抵押贷款的结论．     

定价模型在住房抵押贷款证券化中的运用

在介绍西方发达国家普遍适用的MBS定价模型的基础上结合我国国情,认为静态现金流贴现模型是目前阶段最适合我国MBS的定价模型。     

住房反向抵押贷款与传统抵押贷款的对比分析

住房反向抵押贷款本质是以房屋融通资金,并以此为核心拉动养老、保险、房地产等多项社会活动.将反向抵押贷款和传统的抵押贷款对比分析可以更好的理解两种模式的特点和运作.用同一性分析和差异性分析对两种抵押贷款在基本属性和运作上的进行探讨.而组合性分析则是对两种抵押贷款在计算和操作上的分析.     

日本住房反向抵押贷款的发展

日本是世界上人口老龄化水平高且老龄化速度快的国家。为了应对人口老龄化的挑战,日本在加强养老保险制度建设的同时,积极探索各种补充养老保障方式,以住房反向抵押贷款为主要内容的以房养老就是其中之一。本文主要介绍日本住房反向抵押贷款的发展状况以及下一步继续发展需要面对的问题。     

Option Pricing under the Double Exponential Jump-Diffusion Model with Stochastic Volatility and Interest Rate

This paper proposes an efficient option pricing model that incorporates stochastic interest rate (SIR), stochastic volatility (SV), and double exponential jump into the jump-diffusion settings. The model comprehensively considers the leptokurtosis and heteroscedasticity of the underlying asset’s returns, rare events, and an SIR. Using the model, we deduce the pricing characteristic function and pricing formula of a European option. Then, we develop the Markov chain Monte Carlo method with latent variable to solve the problem of parameter estimation under the double exponential jump-diffusion model with SIR and SV. For verification purposes, we conduct time efficiency analysis, goodness of fit analysis, and jump/drift term analysis of the proposed model. In addition, we compare the pricing accuracy of the proposed model with those of the Black–Scholes and the Kou (2002) models. The empirical results show that the proposed option pricing model has high time efficiency, and the goodness of fit and pricing accuracy are significantly higher than those of the other two models.     

利率市场化下的我国商业银行贷款定价问题研究

随着中国利率市场化进程的加快,商业银行拥有更多的定价自主权,定款定价空间扩大,商业银行必然面临竞争加剧、净利差缩小等新情况。本文论述了目前国内外商业银行定价主要模式以及我国商业银行贷款定价现状,探讨我国目前商业银行定价存在的一些问题。建议运用混合定价策略,对不同类型客户进行定价,并采取树立以客户为中心的服务理念、管理会计信息系统建设、加快人才建设等措施,提高商业银行贷款定价能力。     

住房反向抵押贷款运作模式构建研究

住房反向抵押贷款业务作为一种新型的住房金融业任务,有效地缓解了我国居民的购房压力,它具有很强的针对性和实践性。本文主要研究了住房反向抵押贷款运作模式的构建。     

反向抵押贷款及其在中国的可行性

“反向抵押贷款“是一种较新的金融工具,特别适合有住房所有权的老年人.本文分析了反向抵押贷款的特性、种类及借贷双方面临的风险,研究了反向抵押贷款在中国的可行性及将其运用到中国市场上需要考虑的主要方面.反向抵押贷款是养老问题的一个很好解决办法,同时扩大老年人的消费,促进房地产市场的发展,减轻国家财政压力等.     

Asset Pricing with Observable Stochastic Discount Factors

The stochastic discount factor model provides a general framework for pricing assets. By specifying the discount factor suitably it encompasses most of the theories currently in use, including CAPM and consumption CAPM. The SDF model has been based on the use of single and multiple factors, and on latent and observed factors. In most situations, and especially for the term structure, single factor models are inappropriate, whilst latent variables require the somewhat arbitrary specification of generating processes and are difficult to interpret. In this paper we survey the principal different implementations of the SDF model for bonds, equity and FOREX and propose a new approach. This is based on the use of multiple factors that are observable and modelling the joint distribution of excess returns and the factors using a multi–variate GARCH–in–mean process. We argue that in general single equation and VAR models, although widely used in empirical finance, are inappropriate as they do not satisfy the no–arbitrage condition. Since risk premia arise from conditional covariation between the returns and the factors, both a multi–variate context and having conditional covariances in the conditional mean process, is essential. We explain how apparent exceptions, such as the CIR and Vasicek models, in fact meet this requirement — but at a price. We explain our new approach, discuss how it might be implemented and present some empirical evidence, mainly from our own researches. Partly, to enable comparisons to be made, the survey also includes evidence from recent empirical work using more traditional approaches.     

基于退休理财规划视角的住房反向抵押贷款应用研究

本文通过实际案例,详细分析了个人办理住房反向抵押贷款,在个人提前退休和理财方面的重要影响。基于本文的研究结果,在现实中可以为那些希望通过办理住房反向抵押贷款而实现提前退休的人提供一些参考,同时对于银行在住房反向抵押贷款产品的具体定价和设计模式上也具有一定的借鉴意义。     

Pricing Range Accrual Interest Rate Swap employing LIBOR market models with jump risks

This research derives the LIBOR market model with jump risks, assuming that interest rates follow a continuous time path and tend to jump in response to sudden economic shocks. We then use the LIBOR model with jump risk to price a Range Accrual Interest Rate Swap (RAIRS). Given that the multiple jump processes are independent, we employ numerical analysis to further demonstrate the influence of jump size, jump volatility, and jump frequency on the pricing of RAIRS. Our results show a negative relation between jump size, jump frequency, and the swap rate of RAIRS, but a positive relation between jump volatility and the swap rate of RAIRS.     

住房反向抵押业务在国内外的实践研究

本文以美国、英国、新加坡为代表,介绍了住房反向抵押理念在世界主要发达国家的开展情况。同时,对住房反向抵押保险产品在我国的试点情况进行了分析,指出了虽然困难重重,仍是我国退休养老理财产品的重要补充。     

“以房养老”在中国的实践分析

伴随我国日益加速的人口老龄化现状,现有社会养老模式还不能有效地解决面临的养老问题。在我国推行"以房养老"政策,是对现有养老方式的有力补充,为国家、社会和家庭解决养老保障问题开拓一条有益可行的道路。近几年,根据我国国情,政府和商业部门也在逐步探索和实践。而这一政策的制定和实行会面临很多不确定性因素,需要进一步更正和完善。