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

Unspanned Stochastic Volatility Term Structure Model Applied in Negative Interest Rate Environment
Author: Jan Sedlak
Publisher:
Total Pages: 50
Release: 2016
Genre:
ISBN:

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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.


Term Structure Models with Unspanned Factors and Unspanned Stochastic Volatility

Term Structure Models with Unspanned Factors and Unspanned Stochastic Volatility
Author: Alex Backwell
Publisher:
Total Pages: 134
Release: 2018
Genre:
ISBN:

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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.


Stochastic Mean and Stochastic Volatility

Stochastic Mean and Stochastic Volatility
Author: Lin Chen
Publisher:
Total Pages:
Release: 1999
Genre:
ISBN:

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In this paper a three-factor model of the term structure of interest rates is developed. In the model the future short rate depends on 1) the current short rate, 2) the short-term mean of the short rate, and 3) the current volatility of the short rate. Furthermore, it is assumed that both the short term mean of the short rate and the volatility of the short rate are stochastic and follow square-root process. The model is a substantial extension the seminal Cox-Ingersoll-Ross model of interest rates. A general formula for evaluating interest rate derivatives is presented. Closed-form solutions for prices of bond, bond option, futures, futures option, swap and cap are derived. The model can fit into the Heath-Jarrow-Morton arbitrage framework. The model is also useful for other practical purposes such as managing interest rate risks and formulating fixed income arbitrage strategies.


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

A General Stochastic Volatility Model for the Pricing of Interest Rate Derivatives
Author: Anders B. Trolle
Publisher:
Total Pages: 66
Release: 2016
Genre:
ISBN:

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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.


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

A Stochastic Volatility Model and Inference for the Term Structure of Interest Rates
Author: Peng Liu
Publisher:
Total Pages: 102
Release: 2007
Genre:
ISBN:

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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 evidence 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.


Term Structure and Volatility

Term Structure and Volatility
Author: Ruslan Bikbov
Publisher:
Total Pages: 65
Release: 2004
Genre:
ISBN:

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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.


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

A General Stochastic Volatility Model for the Pricing and Forecasting of Interest Rate Derivatives
Author: Anders B. Trolle
Publisher:
Total Pages: 62
Release: 2006
Genre: Interest rates
ISBN:

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We develop a tractable and flexible stochastic volatility multi-factor model of the term structure of interest rates. It features correlations between innovations to forward rates and 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 finite-dimensional 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. The model also performs well in forecasting interest rates and derivatives.


Unspanned Stochastic Volatility, Conformal Symmetries, and Stochastic Time

Unspanned Stochastic Volatility, Conformal Symmetries, and Stochastic Time
Author: Gregory Pelts
Publisher:
Total Pages: 21
Release: 2017
Genre:
ISBN:

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For the last decade, short-term rates of major currencies were consistently low and occasionally negative. Meanwhile, longer-term rates remained relatively high and volatile. This phenomenon added extra complexity to the the already formidably difficult task of pricing and hedging interest rate derivatives, rendering conventional approaches virtually defunct. We have observed that the application of jump diffusion in conjunction with conformal geometry allows to successfully tackle such market behavior in a fully consistent, tractable, and computationally efficient manner. The approach provides explicit parametric yield curves with arbitrage-free dynamics, and, in certain cases, even closed-form formulae for yield distributions. This is achieved without compromising efficiency or calibration flexibility. In particular, the 4D version of the model has been successfully calibrated to the swaption market with acceptable precision. The methodology has been applied in valuation of various exotic interest rate derivatives.