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1.
为了对中国债券市场动态利率期限结构进行深入的研究,本文基于状态空间模型和卡尔曼滤波技术构建了中国债券市场动态利率模型。本文模型根据数据的可观测结构进行建模,通过迭代计算寻找不可观测状态变量的最优估计值和隐含参数,很好地解决了传统计量方法中因为变量不可观测而无法获得真实数据所带来的研究困难。同时通过模型有效性的模拟实验和中国债券市场同业拆借利率的实证研究,证明了模型对利率期限结构在一段时间内的动态变化估计结果准确,在建模样本期内利率的动态变化能够得到有效的分析和预测。本文的研究为中国债券市场动态利率管理和定价问题提供了新的思路和可能的解决渠道。  相似文献   

2.
针对一种巨灾保险风险证券化产品-巨灾债券的定价问题,首次考虑了我国短期利率的期限结构,并在此基础上提出了Black-Karasinski利率二叉树建立方法(B-K模型),以此确定了中国短期无风险利率,最后通过Louberge巨灾债券理论定价方法试着对我国假想台风损失巨灾债券进行了具体定价,为我国进行巨灾保险风险证券化定价方面提供了一种新的尝试.  相似文献   

3.
分别基于短期利率期限结构延拓Vasicek与CIR模型,提出了一种有效的正则化参数估计计算方法.方法将通过当前交易市场中不同期限的零息债券市场报价来实现对于时间函数的参数估计.数值试验表明了参数估计方法的稳定性.  相似文献   

4.
基本的利率期限结构模型均未能将结构转换效应考虑进来,因此为了探讨结构转换架构下利率期限结构模型的特性,本文在中国货币市场利率数据的基础上对基本利率期限结构模型和结构转换利率期限结构模型进行了比较研究,结果发现中国货币市场利率动态中存在明显的结构转换效应,且在结构转换效应中其本身也存在着不稳定性,这充分反映了中国货币市场在发展过程中的不成熟特征.  相似文献   

5.
基于不同核函数的非参数与参数利率模型的国债定价   总被引:1,自引:0,他引:1  
以上海证券交易所的国债回购利率数据为样本,本文采用两种不同核函数:高斯核和抛物线核对非参数利率期限结构模型进行估计.结果显示:短期利率的密度函数是非正态的,扩散过程的漂移函数和扩散函数都是非线性的,高斯核比抛物线核对扩散函数拟合更平滑.然后,给出了基于非参数和参数利率模型的国债定价的方法,并对非参数利率模型、Vasicek模型、CIR模型、多项式样条静态模型进行国债定价预测比较与分析.  相似文献   

6.
对于年金的定价问题的研究,传统精算理论假定利率是恒定不变的.但事实上,由于受到多种因素的影响,利率往往具有不确定性.因此,本文采用可逆MA(1)模型来刻画利率期限机构,在此基础上,研究了期末付倒平顶虹式年金的各阶矩问题,推导出了其年金现值的期望和方差的简洁公式.通过数值模拟分析了此年金面临的利率风险,其结论对年金定价有一定的参考价值.  相似文献   

7.
修正的FH利率期限结构模型   总被引:1,自引:0,他引:1  
陈典发 《应用数学》2003,16(1):155-158
本文证明了在B.Flesaker和L.Hughston利率期限模型中的鞅性要求可以去掉,此外其模型构造方法可以推广到更一般情形,即从一个参考资产和一个市场风险价格构造利率期限结构。我们由此给出利率衍生证券的更一般定价公式。  相似文献   

8.
本文研究了利率期限结构与宏观经济变量之间的相互关系。运用利率期限结构与宏观经济变量的无套利模型,对向量自回归模型进行了扩展,将其引入到状态空间模型框架中,基于卡尔曼滤波并结合EM算法对模型参数进行了有效估计,结合实际数据对利率期限结构与宏观经济变量的相互影响关系进行了实证研究。结果表明:利率期限结构与宏观经济变量的双向影响关系显著;宏观经济变量对利率期限结构具有一定的解释力;研究利率期限结构时,宏观经济变量的影响作用不能忽略。  相似文献   

9.
从利率波动状况的角度,利用变差理论,对我国的三种利率体系短期利率的波动状况进行研究并分离出利率的跳跃过程。结果表明相对Libor美元报价利率的波动性,我国的利率短期品种波动性表现较为剧烈,跳跃现象频繁,这三种利率体系尚不能完全独立地作为我国货币市场的基准利率。但作为定价基准,回购定盘利率更适合做隔夜和一周的参考利率,Shibor一月期限的拆借利率要优于Chibor的一月拆借利率。本文结论有利于市场主体选择金融资产收益率的定价标准以及衡量国内利率体系的合理性。  相似文献   

10.
基于双因素利率期限结构模型的国债市场利率行为研究   总被引:3,自引:0,他引:3  
本引用一种新的计量经济学方法-高斯估计法,通过Gauss语言编程,使用国债市场短期利率数据对双因素连续时间利率期限结构模型进行了参数估计和预测,得出的结果较理想,从而能更好的了解国债市场短期利率行为特点。  相似文献   

11.
金融危机下中美两国利率互换市场的特征及互动性分析   总被引:1,自引:0,他引:1  
以2008~2009年中美两国利率互换市场的日交易数据为样本,分析比较了影响两国利率互换利差的主要因素,进而实证研究了危机期间中美两国利率互换市场的动态互动效应。结果表明:两国利率的水平和利率期限结构斜率是影响互换利差的主要因素,另外,中国的流动性溢价和美国的违约溢价对互换利差的影响也较为显著;研究发现:中美两国互换利差均受对方市场因素的影响,特别地,在金融危机期间,中美两国利率互换市场间存在着明显的互动效应,一方面,美国利率互换市场信息能够对中国利率互换市场产生较强的冲击,虽然冲击的程度受制于美国的经济状况;另一方面,中国市场对美国市场也形成了一定的反向冲击,且程度受制于中国的货币政策。  相似文献   

12.

We study methods to simulate term structures in order to measure interest rate risk more accurately. We use principal component analysis of term structure innovations to identify risk factors and we model their univariate distribution using GARCH-models with Student’s t-distributions in order to handle heteroscedasticity and fat tails. We find that the Student’s t-copula is most suitable to model co-dependence of these univariate risk factors. We aim to develop a model that provides low ex-ante risk measures, while having accurate representations of the ex-post realized risk. By utilizing a more accurate term structure estimation method, our proposed model is less sensitive to measurement noise compared to traditional models. We perform an out-of-sample test for the U.S. market between 2002 and 2017 by valuing a portfolio consisting of interest rate derivatives. We find that ex-ante Value at Risk measurements can be substantially reduced for all confidence levels above 95%, compared to the traditional models. We find that that the realized portfolio tail losses accurately conform to the ex-ante measurement for daily returns, while traditional methods overestimate, or in some cases even underestimate the risk ex-post. Due to noise inherent in the term structure measurements, we find that all models overestimate the risk for 10-day and quarterly returns, but that our proposed model provides the by far lowest Value at Risk measures.

  相似文献   

13.
本文提出了一种双树拼接的改进BDT模型,在此基础上发展出两种方法为中国市场上的国债期货和择券期权定价。其中"直接定价法"直接使用双树拼接树图,"两步定价法"则是经期权调整的持有成本模型。对中国TF1403和T1603国债期货合约的实证研究表明,两种方法都是合理的,且各有优势,"两步定价法"与市场价格差异较小,"直接定价法"与市场价格同步性较高。  相似文献   

14.
The Black-Derman-Toy (BDT) model is a popular one-factor interest rate model that is widely used by practitioners. One of its advantages is that the model can be calibrated to both the current market term structure of interest rate and the current term structure of volatilities. The input term structure of volatility can be either the short term volatility or the yield volatility. Sandmann and Sondermann derived conditions for the calibration to be feasible when the conditional short rate volatility is used. In this paper conditions are investigated under which calibration to the yield volatility is feasible. Mathematical conditions for this to happen are derived. The restrictions in this case are more complicated than when the short rate volatilities are used since the calibration at each time step now involves the solution of two non-linear equations. The theoretical results are illustrated by showing numerically that in certain situations the calibration based on the yield volatility breaks down for apparently plausible inputs. In implementing the calibration from period n to period n + 1, the corresponding yield volatility has to lie within certain bounds. Under certain circumstances these bounds become very tight. For yield volatilities that violate these bounds, the computed short rates for the period (n, n + 1) either become negative or else explode and this feature corresponds to the economic intuition behind the breakdown.  相似文献   

15.
The paper presents a state dependent multinomial model of intertemporal changes in the term structure of interest rates. The model is a one-factor interest-rate model within the Markov family models for short-term interest rate and it extends the Ho and Lee [J. Finance XLI (5) (1986) 1001] binomial model. We derive the theoretical basis of the multinomial model, suggest a computational framework to evaluate the model's parameters and investigate the suitability of the model for the Italian market.  相似文献   

16.
This paper presents a cyclical square-root model for the term structure of interest rates assuming that the spot rate converges to a certain time-dependent long-term level. This model incorporates the fact that the interest rate volatility depends on the interest rate level and specifies the mean reversion level and the interest rate volatility using harmonic oscillators. In this way, we incorporate a good deal of flexibility and provide a high analytical tractability. Under these assumptions, we compute closed-form expressions for the values of different fixed income and interest rate derivatives. Finally, we analyze the empirical performance of the cyclical model versus that proposed in Cox et al. (1985) and show that it outperforms this benchmark, providing a better fitting to market data.  相似文献   

17.
The main purpose of this article is to present a new numerical procedure that can be used to implement a variety of different interest rate models. The new approach allows to construct no-arbitrage models for the term structure, where the stochastic process driving the rates is infinitely divisible, as in the cases of pure-diffusion and jump-diffusion mean reverting models. The new method determines a unique fully specified hexanomial tree, consistent with risk neutral probabilities. A simple forward recursive procedure solves for the entire tree. The proposed lattice model, which generalized the Hull and White [37] single-factor model, is relatively simple, computational efficient and can fit any initial term structure observed in the market. Numerical experiments demonstrate how the jump-diffusion mean reverting model is particularly suited to describe the European money market rates behavior. Interest rates controlled by the monetary authorities behave as if they are jump processes and the term structure, at short maturity, is contingent upon the levels of these official rates.  相似文献   

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