Read Books Online and Download eBooks, EPub, PDF, Mobi, Kindle, Text Full Free.
Empirical Comparisons In Short Term Interest Rate Models Using Nonparametric Methods
Download Empirical Comparisons In Short Term Interest Rate Models Using Nonparametric Methods full books in PDF, epub, and Kindle. Read online Empirical Comparisons In Short Term Interest Rate Models Using Nonparametric Methods ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Book Synopsis Empirical Comparisons in Short-Term Interest Rate Models Using Nonparametric Methods by : Manuel Arapis
Download or read book Empirical Comparisons in Short-Term Interest Rate Models Using Nonparametric Methods written by Manuel Arapis and published by . This book was released on 2010 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This study applies the nonparametric estimation procedure to the diffusion process modeling the dynamics of short-term interest rates. This approach allows us to operate in continuous time, estimating the continuous-time model, despite the use of discrete data. Three methods are proposed. We apply these methods to two important financial data. After selecting an appropriate bandwidth for each dataset, empirical comparisons indicate that the specification of the drift has a considerable impact on the pricing of derivatives through its effect on the diffusion function. In addition, a novel nonparametric test has been proposed for specification of linearity in the drift. Our simulation directs us to reject the null hypothesis of linearity at the 5% significance level for the two financial datasets.
Book Synopsis Comparison of the Short Term Interest Rate Models by : Mona Ben Salah
Download or read book Comparison of the Short Term Interest Rate Models written by Mona Ben Salah and published by . This book was released on 2014 with total page 12 pages. Available in PDF, EPUB and Kindle. Book excerpt: This article attempts to identify the best model of the short term interest rates that can predict its stochastic process over time. We studied nine different models of the short term interest rates. The choice of these models was the aim of analyzing the relevance of certain specifications of the the short term interest rate stochastic process, the effect of mean reversion and the sensitivity of the volatility to the level of interest rate.The yield on US three months treasury bills is used as a proxy for the short term interest rates. The parameters of the different stochastic process are estimated using the generalized method of moments. The results show that the effect of mean reversion is not statistically significant and that volatility is highly sensitive to the level of interest rates. To further study the performance prediction of the intertemporal behavior of the short term interest rate of the various models; we simulated their stochastic process for different periods.The results show that none of the studied models reproduce the actual path of the short term interest rates. The problem lies in the parametric specification of the mean and volatility of the diffusion process To further study the accurate parametric specification of the interest rate stochastic process we use a nonparametric estimation of the drift and the diffusion functions. The results prove that both should be nonlinear.
Book Synopsis An Empirical Comparison of the Short Term Interest Rate Models by : Mona Ben Salah
Download or read book An Empirical Comparison of the Short Term Interest Rate Models written by Mona Ben Salah and published by . This book was released on 2014 with total page 11 pages. Available in PDF, EPUB and Kindle. Book excerpt: This article attempts to identify the best model of the short term interest rates that can predict its stochastic process over time.We studied eight different models of interest rates in the short term. The choice of these models was the aim of analyzing the relevance of certain specifications of the stochastic process of the short term interest rates, the effect of mean reversion and the sensitivity of the volatility to the level of interest rate.The yield on three months treasury bills is used as a proxy for the short term interest rates. The parameters of the different stochastic process are estimated using the generalized method of moments. The results show that the effect of mean reversion is not statistically significant and that volatility is highly sensitive to the level of interest rates.To further study the performance prediction of the intertemporal behavior of the short term interest rate of the various models; we simulated their stochastic process for different periods.The results show that none of the studied models reproduce the actual path of the short term interest rates. The problem lies in the parametric specification of the mean and volatility of the diffusion process.
Author :Torben Gustav Andersen Publisher :Springer Science & Business Media ISBN 13 :3540712976 Total Pages :1045 pages Book Rating :4.5/5 (47 download)
Book Synopsis Handbook of Financial Time Series by : Torben Gustav Andersen
Download or read book Handbook of Financial Time Series written by Torben Gustav Andersen and published by Springer Science & Business Media. This book was released on 2009-04-21 with total page 1045 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Handbook of Financial Time Series gives an up-to-date overview of the field and covers all relevant topics both from a statistical and an econometrical point of view. There are many fine contributions, and a preamble by Nobel Prize winner Robert F. Engle.
Book Synopsis Comparison of Alternative Models of the Short-term Interest Rate by : Xin Bo
Download or read book Comparison of Alternative Models of the Short-term Interest Rate written by Xin Bo and published by . This book was released on 2006 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The paper proposes a procedure for testing the alternative continuous time models of short term riskless interest rates. Parameters estimation and models comparison are presented using the Generalized Method of Moments. An empirical research to LIBOR in US dollar is given and found that the volatility of interest rate changes is to be less sensitive to the interest rate levels in contrast to previous findings. In addition the Brennan-Schwartz model is suggested to be superior to the others in term of data fit under daily observations, and CIR SR model cannot be rejected.
Book Synopsis Comparison of Alternative Models of the Short-term Interest Rate by : Xin Bo
Download or read book Comparison of Alternative Models of the Short-term Interest Rate written by Xin Bo and published by . This book was released on 2006 with total page 54 pages. Available in PDF, EPUB and Kindle. Book excerpt: The paper proposes a procedure for testing the alternative continuous time models of short term riskless interest rates. Parameters estimation and models comparison are presented using the Generalized Method of Moments. An empirical research to LIBOR in US dollar is given and found that the volatility of interest rate changes is to be less sensitive to the interest rate levels in contrast to previous findings. In addition the Brennan-Schwartz model is suggested to be superior to the others in term of data fit under daily observations, and CIR SR model cannot be rejected.
Book Synopsis Nonparametric Estimation and Comparisons in Stochastic Short-term Interest Rate Models by : Jiti Gao
Download or read book Nonparametric Estimation and Comparisons in Stochastic Short-term Interest Rate Models written by Jiti Gao and published by . This book was released on 2003 with total page 25 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Nonparametric Econometric Methods by : Qi Li
Download or read book Nonparametric Econometric Methods written by Qi Li and published by Emerald Group Publishing. This book was released on 2009-12-04 with total page 570 pages. Available in PDF, EPUB and Kindle. Book excerpt: Contains a selection of papers presented initially at the 7th Annual Advances in Econometrics Conference held on the LSU campus in Baton Rouge, Louisiana during November 14-16, 2008. This work is suitable for those who wish to familiarize themselves with nonparametric methodology.
Book Synopsis Pricing Interest-Rate Derivatives by : Markus Bouziane
Download or read book Pricing Interest-Rate Derivatives written by Markus Bouziane and published by Springer Science & Business Media. This book was released on 2008-03-18 with total page 207 pages. Available in PDF, EPUB and Kindle. Book excerpt: The author derives an efficient and accurate pricing tool for interest-rate derivatives within a Fourier-transform based pricing approach, which is generally applicable to exponential-affine jump-diffusion models.
Book Synopsis The Quarterly Review of Economics and Finance by :
Download or read book The Quarterly Review of Economics and Finance written by and published by . This book was released on 2009-08 with total page 508 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Estimating Parameters of Short-Term Real Interest Rate Models by : Mr.Vadim Khramov
Download or read book Estimating Parameters of Short-Term Real Interest Rate Models written by Mr.Vadim Khramov and published by International Monetary Fund. This book was released on 2013-10-17 with total page 27 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper sheds light on a narrow but crucial question in finance: What should be the parameters of a model of the short-term real interest rate? Although models for the nominal interest rate are well studied and estimated, dynamics of the real interest rate are rarely explored. Simple ad hoc processes for the short-term real interest rate are usually assumed as building blocks for more sophisticated models. In this paper, parameters of the real interest rate model are estimated in the broad class of single-factor interest rate diffusion processes on U.S. monthly data. It is shown that the elasticity of interest rate volatility—the relationship between the volatility of changes in the interest rate and its level—plays a crucial role in explaining real interest rate dynamics. The empirical estimates of the elasticity of the real interest rate volatility are found to be about 0.5, much lower than that of the nominal interest rate. These estimates show that the square root process, as in the Cox-Ingersoll-Ross model, provides a good characterization of the short-term real interest rate process.
Book Synopsis An Empirical Comparison of Continuous Time Models of the Short Term Interest Rate by : Turan G. Bali
Download or read book An Empirical Comparison of Continuous Time Models of the Short Term Interest Rate written by Turan G. Bali and published by . This book was released on 2012 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper compares the empirical performance of a wide variety of well-known diffusion models - with particular emphasis on the Black, Derman, and Toy (1990) term structure model - in capturing the dynamic behavior of interest rate volatility. Many popular models are nested within a more flexible time-varying BDT framework that allows us to determine the appropriate specification of the spot rate process. The empirical results for the one-month Treasury yields indicate that the equilibrium models that do not allow the drift and diffusion parameters to vary over time and parameterize the volatility only as a function of interest rate levels fail to model adequately the serial correlation in conditional variances. On the other hand, the serial-correlation-based arbitrage-free models with time-dependent parameters in the drift and diffusion functions may fail to capture adequately the relationship between interest rate levels and volatility. The results also suggest that time-varying volatilities within the BDT framework may lead to non-recombining binomial trees that increase the storage requirements and computational cost substantially in pricing interest rate contingent claims.
Book Synopsis Implementing Models in Quantitative Finance: Methods and Cases by : Gianluca Fusai
Download or read book Implementing Models in Quantitative Finance: Methods and Cases written by Gianluca Fusai and published by Springer Science & Business Media. This book was released on 2007-12-20 with total page 606 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book puts numerical methods in action for the purpose of solving practical problems in quantitative finance. The first part develops a toolkit in numerical methods for finance. The second part proposes twenty self-contained cases covering model simulation, asset pricing and hedging, risk management, statistical estimation and model calibration. Each case develops a detailed solution to a concrete problem arising in applied financial management and guides the user towards a computer implementation. The appendices contain "crash courses" in VBA and Matlab programming languages.
Book Synopsis Recent Advances and Trends in Nonparametric Statistics by : M.G. Akritas
Download or read book Recent Advances and Trends in Nonparametric Statistics written by M.G. Akritas and published by Elsevier. This book was released on 2003-10-31 with total page 522 pages. Available in PDF, EPUB and Kindle. Book excerpt: The advent of high-speed, affordable computers in the last two decades has given a new boost to the nonparametric way of thinking. Classical nonparametric procedures, such as function smoothing, suddenly lost their abstract flavour as they became practically implementable. In addition, many previously unthinkable possibilities became mainstream; prime examples include the bootstrap and resampling methods, wavelets and nonlinear smoothers, graphical methods, data mining, bioinformatics, as well as the more recent algorithmic approaches such as bagging and boosting. This volume is a collection of short articles - most of which having a review component - describing the state-of-the art of Nonparametric Statistics at the beginning of a new millennium. Key features: • algorithic approaches • wavelets and nonlinear smoothers • graphical methods and data mining • biostatistics and bioinformatics • bagging and boosting • support vector machines • resampling methods
Book Synopsis The Volatility of Short-term Interest Rates by : Clark Leavitt
Download or read book The Volatility of Short-term Interest Rates written by Clark Leavitt and published by . This book was released on 1987 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis The Volatility of Short-term Interest Rates by : K. C. Chan
Download or read book The Volatility of Short-term Interest Rates written by K. C. Chan and published by . This book was released on 1991 with total page 18 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Generalized Method of Moments Estimation by : Laszlo Matyas
Download or read book Generalized Method of Moments Estimation written by Laszlo Matyas and published by Cambridge University Press. This book was released on 1999-04-13 with total page 332 pages. Available in PDF, EPUB and Kindle. Book excerpt: The generalized method of moments (GMM) estimation has emerged as providing a ready to use, flexible tool of application to a large number of econometric and economic models by relying on mild, plausible assumptions. The principal objective of this volume is to offer a complete presentation of the theory of GMM estimation as well as insights into the use of these methods in empirical studies. It is also designed to serve as a unified framework for teaching estimation theory in econometrics. Contributors to the volume include well-known authorities in the field based in North America, the UK/Europe, and Australia. The work is likely to become a standard reference for graduate students and professionals in economics, statistics, financial modeling, and applied mathematics.