Term Structure Models with Unspanned Factors and Unspanned Stochastic Volatility

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ISBN 13 :
Total Pages : 134 pages
Book Rating : 4.:/5 (13 download)

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Book Synopsis Term Structure Models with Unspanned Factors and Unspanned Stochastic Volatility by : Alex Backwell

Download or read book Term Structure Models with Unspanned Factors and Unspanned Stochastic Volatility written by Alex Backwell and published by . This book was released on 2018 with total page 134 pages. Available in PDF, EPUB and Kindle. Book excerpt: Certain models of the term structure of interest rates exhibit unspanned stochastic volatility (USV). A model has this property if it involves a source of stochastic variation -- called an unspanned factor -- that does not affect the model's interest rates directly, but does affect the extent to which future interests are liable to change (that is, interest-rate volatility). This thesis is concerned with these models, from a variety of perspectives.Firstly, the theoretical foundation of the USV property is addressed. Formal definitions of unspanned factors and USV are developed, generalising ones tentatively proposed in the literature. Several results from these definitions and the accompanying framework are derived. Particularly, the ability to hedge general claims (i.e., the completeness or lack thereof) of these models is examined in detail. Examples are given to illustrate the features of the proposed framework and the necessity of the generalised definitions.Secondly, the empirical issue of whether USV models are necessary to plausibly represent ob- served interest-rate markets is interrogated. An empirical derivative-hedging approach is adopted, the results of which are contextualised by also treating data simulated from models with USV and non-USV versions. It is shown that hedging effectiveness is relatively robust to the presence of USV, which resolves the apparent conflict between the two studies that have taken a hedging approach to this question. Despite the cross-sectional hedging effects being surprisingly minor, further regression results show that USV models are needed to model the time series of market interest rates.Finally, the thesis addresses a certain class of models that exhibit USV: those with one spanned factor (driving interest-rate variation) and one unspanned, volatility-related factor. Being the simplest non-trivial USV models, these bivariate USV models are fundamental, and -- like one- factor models in general settings -- are helpful in introducing and comparing higher-factor models when simple ones are insufficient. These models are shown to exist (contradicting a claim in the literature); to share a particular affine form for their bond pricing functions; and to necessarily exhibit a short-term interest rate with dynamics of a certain type. A specific bivariate USV model is then proposed, which is analysed and compared to others in the literature.

Estimation of Affine Term Structure Models with Spanned Or Unspanned Stochastic Volatility

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ISBN 13 :
Total Pages : 67 pages
Book Rating : 4.:/5 (88 download)

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Book Synopsis Estimation of Affine Term Structure Models with Spanned Or Unspanned Stochastic Volatility by : Drew D. Creal

Download or read book Estimation of Affine Term Structure Models with Spanned Or Unspanned Stochastic Volatility written by Drew D. Creal and published by . This book was released on 2014 with total page 67 pages. Available in PDF, EPUB and Kindle. Book excerpt: We develop new procedures for maximum likelihood estimation of affine term structure models with spanned or unspanned stochastic volatility. Our approach uses linear regression to reduce the dimension of the numerical optimization problem yet it produces the same estimator as maximizing the likelihood. It improves the numerical behavior of estimation by eliminating parameters from the objective function that cause problems for conventional methods. We find that spanned models capture the cross-section of yields well but not volatility while unspanned models fit volatility at the expense of fitting the cross-section.

Estimation of Affine Term Structure Models with Spanned Or Unspanned Stochastic Volatility

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ISBN 13 :
Total Pages : 61 pages
Book Rating : 4.:/5 (13 download)

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Book Synopsis Estimation of Affine Term Structure Models with Spanned Or Unspanned Stochastic Volatility by : Drew Creal

Download or read book Estimation of Affine Term Structure Models with Spanned Or Unspanned Stochastic Volatility written by Drew Creal and published by . This book was released on 2017 with total page 61 pages. Available in PDF, EPUB and Kindle. Book excerpt: We develop new procedures for maximum likelihood estimation of affine term structure models with spanned or unspanned stochastic volatility. Our approach uses linear regression to reduce the dimension of the numerical optimization problem yet it produces the same estimator as maximizing the likelihood. It improves the numerical behavior of estimation by eliminating parameters from the objective function that cause problems for conventional methods. We find that spanned models capture the cross-section of yields well but not volatility while unspanned models fit volatility at the expense of fitting the cross-section.

Term Structure and Volatility

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ISBN 13 :
Total Pages : 65 pages
Book Rating : 4.:/5 (129 download)

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Book Synopsis Term Structure and Volatility by : Ruslan Bikbov

Download or read book Term Structure and Volatility written by Ruslan Bikbov and published by . This book was released on 2004 with total page 65 pages. Available in PDF, EPUB and Kindle. Book excerpt: We evaluate the ability of several affine models to explain the term structure of the interest rates and option prices. Since the key distinguishing characteristic of the affine models is the specification of conditional volatility of the factors, we explore models which have critical differences in this respect: Gaussian (constant volatility), stochastic volatility, and unspanned stochastic volatility models. We estimate the models based on the Eurodollar futures and options data. We find that both Gaussian and stochastic volatility models, despite the differences in the specifications, do a great job matching the conditional mean and volatility of the term structure. When these models are estimated using options data, their properties change, and they are more successful in pricing options and matching higher moments of the term structure distribution. The unspanned stochastic volatility (USV) model fails to resolve the tension between the futures and options fits. Unresolved tension in the fits points to additional factors or, even more likely, jumps, as ways to improve the performance of the models. Our results indicate that Gaussian and stochastic volatility models cannot be distinguished based on the yield curve dynamics alone. Options data are helpful in identifying the differences. In particular, Gaussian models cannot explain the relationship between implied volatilities and the term structure observed in the data.

Unspanned Stochastic Volatility Term Structure Model Applied in Negative Interest Rate Environment

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ISBN 13 :
Total Pages : 50 pages
Book Rating : 4.:/5 (13 download)

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Book Synopsis Unspanned Stochastic Volatility Term Structure Model Applied in Negative Interest Rate Environment by : Jan Sedlak

Download or read book Unspanned Stochastic Volatility Term Structure Model Applied in Negative Interest Rate Environment written by Jan Sedlak and published by . This book was released on 2016 with total page 50 pages. Available in PDF, EPUB and Kindle. Book excerpt: The interest rate transition from the positive environment, into the negative territory questions the consensus of interest rates and opens up a wide field of unresearched areas. To cope with the changing interest rate environment as well as satisfying regulatory criteria, a model following the Heath-Jarrow-Morton framework with Unspanned Stochastic Volatility is implemented. The model is constructed to match shocks to the level, slope and curvature of the term structure. Estimation is performed with Libor rates, Government rates and Swaption ATM normal implied volatilities from 2006-01-01 to 2015-03-12. The model is backtested both in sample and out of sample and compared to a Normal model and a Log Normal model. The model shows a good quantile fit to the medium and long end of the term structure and performs relatively better then the two challenger models.

Spanned Stochastic Volatility in Bond Markets

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ISBN 13 :
Total Pages : 46 pages
Book Rating : 4.3/5 ( download)

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Book Synopsis Spanned Stochastic Volatility in Bond Markets by : Don H. Kim

Download or read book Spanned Stochastic Volatility in Bond Markets written by Don H. Kim and published by . This book was released on 2007 with total page 46 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper reexamines the issue of unspanned stochastic volatility (USV) in bond markets and the puzzle of poor relative pricing between bonds and bond options. I make a distinction between the "weak USV" and the "strong USV" scenarios, and analyze the evidence for each of them. I argue that the poor bonds/options relative pricing in the extant literature is not necessarily evidence for the strong USV scenario, and show that a maximally flexible 2-factor quadratic-Gaussian model (a non-USV model) estimated without bond options data can capture much of the movement in bond option prices. Dropping the positive-definiteness requirement for nominal interest rates and adopting "regularized" estimations turn out to be important for obtaining sensible results.

Identification and Estimation of 'Maximal' Affine Term Structure Models

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ISBN 13 :
Total Pages : 62 pages
Book Rating : 4.:/5 (129 download)

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Book Synopsis Identification and Estimation of 'Maximal' Affine Term Structure Models by : Pierre Collin-Dufresne

Download or read book Identification and Estimation of 'Maximal' Affine Term Structure Models written by Pierre Collin-Dufresne and published by . This book was released on 2011 with total page 62 pages. Available in PDF, EPUB and Kindle. Book excerpt: We propose a canonical representation for affine term structure models where the state vector is comprised of the first few Taylor-series components of the yield curve and their quadratic (co-)variations. With this representation: (i) the state variables have simple physical interpretations such as level, slope and curvature, (ii) their dynamics remain affine and tractable, (iii) the model is by construction 'maximal' (i.e., it is the most general model that is econometrically identifiable), and (iv) model-insensitive estimates of the state vector process implied from the term structure are readily available. (Furthermore, this representation may be useful for identifying the state variables in a squared-Gaussian framework where typically there is no one-to-one mapping between observable yields and latent state variables). We find that the 'unrestricted' A1(3) model of Dai and Singleton (2000) estimated by 'inverting' the yield curve for the state variables generates volatility estimates that are negatively correlated with the time series of volatility estimated using a standard GARCH approach. This occurs because the 'unrestricted' A1(3) model imposes the restriction that the volatility state variable is simultaneously a linear combination of yields (i.e., it impacts the cross-section of yields), and the quadratic variation of the spot rate process (i.e., it impacts the time-series of yields). We then investigate the A1(3) model which exhibits 'unspanned stochastic volatility' (USV). This model predicts that the cross section of bond prices is independent of the volatility state variable, and hence breaks the tension between the time-series and cross-sectional features of the term structure inherent in the unrestricted model. We find that explicitly imposing the USV constraint on affine models significantly improves the volatility estimates, while maintaining a good fit cross-sectionally.

A General Stochastic Volatility Model for the Pricing of Interest Rate Derivatives

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ISBN 13 :
Total Pages : 66 pages
Book Rating : 4.:/5 (129 download)

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Book Synopsis A General Stochastic Volatility Model for the Pricing of Interest Rate Derivatives by : Anders B. Trolle

Download or read book A General Stochastic Volatility Model for the Pricing of Interest Rate Derivatives written by Anders B. Trolle and published by . This book was released on 2016 with total page 66 pages. Available in PDF, EPUB and Kindle. Book excerpt: We develop a tractable and flexible stochastic volatility multi-factor model of the term structure of interest rates. It features unspanned stochastic volatility factors, correlation between innovations to forward rates and their volatilities, quasi-analytical prices of zero-coupon bond options, and dynamics of the forward rate curve, under both the actual and risk-neutral measure, in terms of a finitedimensional affine state vector. The model has a very good fit to an extensive panel data set of interest rates, swaptions and caps. In particular, the model matches the implied cap skews and the dynamics of implied volatilities.

Information in (and Not In) Treasury Options

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ISBN 13 :
Total Pages : 60 pages
Book Rating : 4.:/5 (13 download)

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Book Synopsis Information in (and Not In) Treasury Options by : Hoyong Choi

Download or read book Information in (and Not In) Treasury Options written by Hoyong Choi and published by . This book was released on 2017 with total page 60 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper studies the impact of variance risk in the Treasury market on both term premia and the shape of the yield curve. Under minimal assumptions shared by standard structural and reduced-form asset pricing models, I show that an observable proxy of variance risk in the Treasury market can be constructed via a portfolio of Treasury options. The observable variance risk has the ability to explain the time variation in term premia, but is largely unrelated to the shape of the yield curve. Using the observable variance risk, I also propose a new representation of no-arbitrage term structure models. All the pricing factors in the model are observable, tradable, and hence economically interpretable. The representation can also accommodate both unspanned macro risks and unspanned stochastic volatility in the term structure literature.

Estimation of Affine Term Structure Models with Spanned Or Unspanned Stochastics Volatility

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ISBN 13 :
Total Pages : 67 pages
Book Rating : 4.:/5 (129 download)

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Book Synopsis Estimation of Affine Term Structure Models with Spanned Or Unspanned Stochastics Volatility by : Drew D. Creal

Download or read book Estimation of Affine Term Structure Models with Spanned Or Unspanned Stochastics Volatility written by Drew D. Creal and published by . This book was released on 2014 with total page 67 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Dynamic Term Structure Modeling

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Publisher : John Wiley & Sons
ISBN 13 : 0470140062
Total Pages : 722 pages
Book Rating : 4.4/5 (71 download)

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Book Synopsis Dynamic Term Structure Modeling by : Sanjay K. Nawalkha

Download or read book Dynamic Term Structure Modeling written by Sanjay K. Nawalkha and published by John Wiley & Sons. This book was released on 2007-05-23 with total page 722 pages. Available in PDF, EPUB and Kindle. Book excerpt: Praise for Dynamic Term Structure Modeling "This book offers the most comprehensive coverage of term-structure models I have seen so far, encompassing equilibrium and no-arbitrage models in a new framework, along with the major solution techniques using trees, PDE methods, Fourier methods, and approximations. It is an essential reference for academics and practitioners alike." --Sanjiv Ranjan Das Professor of Finance, Santa Clara University, California, coeditor, Journal of Derivatives "Bravo! This is an exhaustive analysis of the yield curve dynamics. It is clear, pedagogically impressive, well presented, and to the point." --Nassim Nicholas Taleb author, Dynamic Hedging and The Black Swan "Nawalkha, Beliaeva, and Soto have put together a comprehensive, up-to-date textbook on modern dynamic term structure modeling. It is both accessible and rigorous and should be of tremendous interest to anyone who wants to learn about state-of-the-art fixed income modeling. It provides many numerical examples that will be valuable to readers interested in the practical implementations of these models." --Pierre Collin-Dufresne Associate Professor of Finance, UC Berkeley "The book provides a comprehensive description of the continuous time interest rate models. It serves an important part of the trilogy, useful for financial engineers to grasp the theoretical underpinnings and the practical implementation." --Thomas S. Y. Ho, PHD President, Thomas Ho Company, Ltd, coauthor, The Oxford Guide to Financial Modeling

Geometric Information of Yield Curve, Unspanned Stochastic Volatility, and Affine Heath-Jarrow-Morton Models

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ISBN 13 :
Total Pages : 156 pages
Book Rating : 4.:/5 (919 download)

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Book Synopsis Geometric Information of Yield Curve, Unspanned Stochastic Volatility, and Affine Heath-Jarrow-Morton Models by : Qingbin Wang

Download or read book Geometric Information of Yield Curve, Unspanned Stochastic Volatility, and Affine Heath-Jarrow-Morton Models written by Qingbin Wang and published by . This book was released on 2014 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Unspanned Stochastic Volatility in the Multi-Factor CIR Model

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ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (1 download)

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Book Synopsis Unspanned Stochastic Volatility in the Multi-Factor CIR Model by : Damir Filipovic

Download or read book Unspanned Stochastic Volatility in the Multi-Factor CIR Model written by Damir Filipovic and published by . This book was released on 2017 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Discrete-Time Dynamic Term Structure Models with Generalized Market Prices of Risk

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ISBN 13 :
Total Pages : 39 pages
Book Rating : 4.:/5 (129 download)

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Book Synopsis Discrete-Time Dynamic Term Structure Models with Generalized Market Prices of Risk by : Qiang Dai

Download or read book Discrete-Time Dynamic Term Structure Models with Generalized Market Prices of Risk written by Qiang Dai and published by . This book was released on 2008 with total page 39 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper develops a rich class of discrete-time, nonlinear dynamic term structure models (DTSMs). Under the risk-neutral measure, the distribution of the state vector Xt resides within a family of discrete-time affine processes that nests the exact discrete-time counter parts of the entire class of continuous-time models in Duffie and Kan (1996) and Dai and Singleton (2000). Moreover, we allow the market price of risk curren;t, linking the risk-neutral and historical distributions of X, to depend generally on the state Xt. The conditionallikelihood functions for coupon bond yields for the resulting nonlinear models under thehistorical measure are known exactly in closed form. As an illustration of our approach, we estimate a three factor model with a cubic term in the drift of the stochastic volatility factor and compare it to a model with a linear drift. Our results show that inclusion of a cubic term in the drift significantly improves the models statistical fit as well as its out-of-sampleforecasting performance.

A Stochastic Volatility Model and Inference for the Term Structure of Interest

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ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (656 download)

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Book Synopsis A Stochastic Volatility Model and Inference for the Term Structure of Interest by :

Download or read book A Stochastic Volatility Model and Inference for the Term Structure of Interest written by and published by . This book was released on 2004 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis builds a stochastic volatility model for the term structure of interest rates, which is also known as the dynamics of the yield curve. The main purpose of the model is to propose a parsimonious and plausible approach to capture some characteristics that conform to some empirical evidences and conventions. Eventually, the development reaches a class of multivariate stochastic volatility models, which is flexible, extensible, providing the existence of an inexpensive inference approach. The thesis points out some inconsistency among conventions and practice. First, yield curves and its related curves are conventionally smooth. But in the literature that these curves are modeled as random functions, the co-movement of points on the curve are usually assumed to be governed by some covariance structures that do not generate smooth random curves. Second, it is commonly agreed that the constant volatility is not a sound assumption, but stochastic volatilities have not been commonly considered in related studies. Regarding the above problems, we propose a multiplicative factor stochastic volatility model, which has a relatively simple structure. Though it is apparently simple, the inference is not, because of the presence of stochastic volatilities. We first study the sequential-Monte-Carlo-based maximum likelihood approach, which extends the perspectives of Gaussian linear state-space modeling. We propose a systematic procedure that guides the inference based on this approach. In addition, we also propose a saddlepoint approximation approach, which integrates out states. Then the state propagates by an exact Gaussian approximation. The approximation works reasonably well for univariate models. Moreover, it works even better for the multivariate model that we propose. Because we can enjoy the asymptotic property of the saddlepoint approximation.

Stochastic Mean and Stochastic Volatility

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ISBN 13 :
Total Pages : 88 pages
Book Rating : 4.:/5 (348 download)

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Book Synopsis Stochastic Mean and Stochastic Volatility by : Lin Chen

Download or read book Stochastic Mean and Stochastic Volatility written by Lin Chen and published by . This book was released on 1996 with total page 88 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Purebred or Hybrid

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Total Pages : pages
Book Rating : 4.:/5 (129 download)

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Book Synopsis Purebred or Hybrid by : Dong-Hyun Ahn

Download or read book Purebred or Hybrid written by Dong-Hyun Ahn and published by . This book was released on 2006 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper investigates the implications of mixtures of affine, quadratic, and nonlinear models for the term structure of volatility. The dynamics of the term structure of interest rates appear to exhibit pronounced time-varying or stochastic volatility. Ahn, Dittmar, and Gallant (2000) provide evidence suggesting that term structure models incorporating a set of quadratic state variables are better able to reproduce yield dynamics than affine models, though none of the models is able to fully capture the term structure of volatility. In this study, we combine affine, quadratic and nonlinear factors in order to maximize the strengths of a term structure model in generating heteroskedastic volatility. We show that this combination entails a tradeoff between specification of heteroskedastic volatility and correlations among the state variables. By combining these factors, we are able to gauge the cost of this tradeoff. Using the Efficient Method of Moments [Gallant and Tauchen (1996)], we find that augmenting a quadratic model with a nonlinear factor results in improvement in fit over a model characterized only by quadratic factors. Since the nonlinear factor is characterized by stronger dependence of volatility on the level of the factor, we conclude that flexibility in the specification of both level dependence and correlation structure are important for describing term structure dynamics.