Pricing Interest Rate Risk Derivatives Using Binomial Trees with MATLAB

Pricing Interest Rate Risk Derivatives Using Binomial Trees with MATLAB PDF Author: Alexander Esse
Publisher: GRIN Verlag
ISBN: 366872637X
Category : Business & Economics
Languages : en
Pages : 32

Get Book Here

Book Description
Seminar paper from the year 2017 in the subject Business economics - Investment and Finance, grade: 1,00, University of Tubingen, language: English, abstract: In this assignment we approximate Oldrich Vasicek's (1977) term structure model with a binomial approach and show that it is convenient to use a recombining binomial tree to value interest rate derivatives in the Vasicek model. First, we illustrate that our applied binomial approximations converge to the dynamic continuous-time Vasicek model with an increasing number of time steps (subperiods). Furthermore, we apply the binomial approach to value a Discount Bond, Coupon Bond and a Futures Contract on both a Discount and Coupon Bond. The resulting approximations will be compared to the respective analytical solution, which we use as a benchmark. Thirdly, we determine the fair value of both an European and American Call and Put on a Discount Bond and Coupon Bond, respectively. We demonstrate that our estimated binomial prices converge with an increasing number of time steps. Moreover, we analyze both the behaviour of a Sraddle on a Discount Bond and the Early Exercise Premium of the considered American Options as a function of spot interest rates. We obtain all results shown in this report from the software "Matlab". Hence, the submitted "m.files" should be taken as a reference for a better understanding of the calculation procedures described in this report (Relevant Code is depicted in the Appendices). Furthermore, to reduce computational effort and required time to run our code we apply a joint calculation of specific approximations rather than run a code individually for each Task. This is mainly because some specific securities and interest rate derivatives require the same underlying and identical matrices of the interest rates and transition probabilities from the binomial trees for the approximation procedure. This approach is suitable because we apply the identical number of subperiods for specific Tasks and, thus, for the respective securities and or derivatives.

Pricing Interest Rate Risk Derivatives Using Binomial Trees with MATLAB

Pricing Interest Rate Risk Derivatives Using Binomial Trees with MATLAB PDF Author: Alexander Esse
Publisher: GRIN Verlag
ISBN: 366872637X
Category : Business & Economics
Languages : en
Pages : 32

Get Book Here

Book Description
Seminar paper from the year 2017 in the subject Business economics - Investment and Finance, grade: 1,00, University of Tubingen, language: English, abstract: In this assignment we approximate Oldrich Vasicek's (1977) term structure model with a binomial approach and show that it is convenient to use a recombining binomial tree to value interest rate derivatives in the Vasicek model. First, we illustrate that our applied binomial approximations converge to the dynamic continuous-time Vasicek model with an increasing number of time steps (subperiods). Furthermore, we apply the binomial approach to value a Discount Bond, Coupon Bond and a Futures Contract on both a Discount and Coupon Bond. The resulting approximations will be compared to the respective analytical solution, which we use as a benchmark. Thirdly, we determine the fair value of both an European and American Call and Put on a Discount Bond and Coupon Bond, respectively. We demonstrate that our estimated binomial prices converge with an increasing number of time steps. Moreover, we analyze both the behaviour of a Sraddle on a Discount Bond and the Early Exercise Premium of the considered American Options as a function of spot interest rates. We obtain all results shown in this report from the software "Matlab". Hence, the submitted "m.files" should be taken as a reference for a better understanding of the calculation procedures described in this report (Relevant Code is depicted in the Appendices). Furthermore, to reduce computational effort and required time to run our code we apply a joint calculation of specific approximations rather than run a code individually for each Task. This is mainly because some specific securities and interest rate derivatives require the same underlying and identical matrices of the interest rates and transition probabilities from the binomial trees for the approximation procedure. This approach is suitable because we apply the identical number of subperiods for specific Tasks and, thus, for the respective securities and or derivatives.

Financial Derivatives Toolbox

Financial Derivatives Toolbox PDF Author: MathWorks, Inc
Publisher:
ISBN:
Category : Derivative securities
Languages : en
Pages : 440

Get Book Here

Book Description


Hedging with Trees

Hedging with Trees PDF Author: Mark Nathan Broadie
Publisher:
ISBN:
Category : Business & Economics
Languages : en
Pages : 288

Get Book Here

Book Description
An insightful collection of 35+ articles encapsulating advances in financial derivatives, selected by two well-respected academics.

The Mathematics of Derivatives Securities with Applications in MATLAB

The Mathematics of Derivatives Securities with Applications in MATLAB PDF Author: Mario Cerrato
Publisher: John Wiley & Sons
ISBN: 1119973414
Category : Business & Economics
Languages : en
Pages : 201

Get Book Here

Book Description
Quantitative Finance is expanding rapidly. One of the aspects of the recent financial crisis is that, given the complexity of financial products, the demand for people with high numeracy skills is likely to grow and this means more recognition will be given to Quantitative Finance in existing and new course structures worldwide. Evidence has suggested that many holders of complex financial securities before the financial crisis did not have in-house experts or rely on a third-party in order to assess the risk exposure of their investments. Therefore, this experience shows the need for better understanding of risk associate with complex financial securities in the future. The Mathematics of Derivative Securities with Applications in MATLAB provides readers with an introduction to probability theory, stochastic calculus and stochastic processes, followed by discussion on the application of that knowledge to solve complex financial problems such as pricing and hedging exotic options, pricing American derivatives, pricing and hedging under stochastic volatility and an introduction to interest rates modelling. The book begins with an overview of MATLAB and the various components that will be used alongside it throughout the textbook. Following this, the first part of the book is an in depth introduction to Probability theory, Stochastic Processes and Ito Calculus and Ito Integral. This is essential to fully understand some of the mathematical concepts used in the following part of the book. The second part focuses on financial engineering and guides the reader through the fundamental theorem of asset pricing using the Black and Scholes Economy and Formula, Options Pricing through European and American style options, summaries of Exotic Options, Stochastic Volatility Models and Interest rate Modelling. Topics covered in this part are explained using MATLAB codes showing how the theoretical models are used practically. Authored from an academic’s perspective, the book discusses complex analytical issues and intricate financial instruments in a way that it is accessible to postgraduate students with or without a previous background in probability theory and finance. It is written to be the ideal primary reference book or a perfect companion to other related works. The book uses clear and detailed mathematical explanation accompanied by examples involving real case scenarios throughout and provides MATLAB codes for a variety of topics.

On Implied Binomial Trees With a Non Constant Interest Rate Dynamics

On Implied Binomial Trees With a Non Constant Interest Rate Dynamics PDF Author: Itay Kavaler
Publisher:
ISBN:
Category :
Languages : en
Pages : 39

Get Book Here

Book Description
The paper examines a market for a stock, discount bonds of all maturities and European calls and puts on the stock of all strikes and all maturities. It derives a discrete time arbitrage free model. Said model is implemented in the binomial framework world in which both stock and bonds dynamics are determined so that risk neutral prices of the calls, exhibit the above smile and put prices are determined by the put-call parity. Fitting is done by deriving an algorithm which allows the interest rate process to be chosen specifically in order to generate fitting while keeping the stock's volatility constant. As a result the initial market's smile is allowed to be preserved forever, independently of time and state. The idea of using both stock and bonds in order to derive the local fit (and not viewing the bond dynamics as a given) is new. In this paper we extend the standards implied binomial models, to obtain a more flexible model which is calibrated with market data on European puts and calls. Constructing implied trees from a given smile along with a requirement for the model prices to be fair, generally involves solving a set of the well known CRR-equations under the restriction that the probability at each node is risk-neutral. The success of having a unique solution depends, among others, on the smile's shape and can be easily violated by a quite steep one. Our model suggests a different approach by considering an optimization procedure. The model uses Brent method which incorporates other well known optimization methods. It is very stable for convergence and although complex it can easily be applied through Matlab program.

Financial Derivative and Energy Market Valuation

Financial Derivative and Energy Market Valuation PDF Author: Michael Mastro, PhD
Publisher: John Wiley & Sons
ISBN: 1118501810
Category : Mathematics
Languages : en
Pages : 534

Get Book Here

Book Description
A road map for implementing quantitative financial models Financial Derivative and Energy Market Valuation brings the application of financial models to a higher level by helping readers capture the true behavior of energy markets and related financial derivatives. The book provides readers with a range of statistical and quantitative techniques and demonstrates how to implement the presented concepts and methods in Matlab®. Featuring an unparalleled level of detail, this unique work provides the underlying theory and various advanced topics without requiring a prior high-level understanding of mathematics or finance. In addition to a self-contained treatment of applied topics such as modern Fourier-based analysis and affine transforms, Financial Derivative and Energy Market Valuation also: • Provides the derivation, numerical implementation, and documentation of the corresponding Matlab for each topic • Extends seminal works developed over the last four decades to derive and utilize present-day financial models • Shows how to use applied methods such as fast Fourier transforms to generate statistical distributions for option pricing • Includes all Matlab code for readers wishing to replicate the figures found throughout the book Thorough, practical, and easy to use, Financial Derivative and Energy Market Valuation is a first-rate guide for readers who want to learn how to use advanced numerical methods to implement and apply state-of-the-art financial models. The book is also ideal for graduate-level courses in quantitative finance, mathematical finance, and financial engineering.

Pricing Derivative Securities

Pricing Derivative Securities PDF Author: Eliezer Z. Prisman
Publisher: Academic Press
ISBN: 9780125649155
Category : Business & Economics
Languages : en
Pages : 788

Get Book Here

Book Description
CD-ROM contains: MAPLE student version 5.0; online version of text; MATLAB GUI; IDEAL software (embedded in online text).

Mathematical Modeling And Computation In Finance: With Exercises And Python And Matlab Computer Codes

Mathematical Modeling And Computation In Finance: With Exercises And Python And Matlab Computer Codes PDF Author: Cornelis W Oosterlee
Publisher: World Scientific
ISBN: 1786347962
Category : Business & Economics
Languages : en
Pages : 1310

Get Book Here

Book Description
This book discusses the interplay of stochastics (applied probability theory) and numerical analysis in the field of quantitative finance. The stochastic models, numerical valuation techniques, computational aspects, financial products, and risk management applications presented will enable readers to progress in the challenging field of computational finance.When the behavior of financial market participants changes, the corresponding stochastic mathematical models describing the prices may also change. Financial regulation may play a role in such changes too. The book thus presents several models for stock prices, interest rates as well as foreign-exchange rates, with increasing complexity across the chapters. As is said in the industry, 'do not fall in love with your favorite model.' The book covers equity models before moving to short-rate and other interest rate models. We cast these models for interest rate into the Heath-Jarrow-Morton framework, show relations between the different models, and explain a few interest rate products and their pricing.The chapters are accompanied by exercises. Students can access solutions to selected exercises, while complete solutions are made available to instructors. The MATLAB and Python computer codes used for most tables and figures in the book are made available for both print and e-book users. This book will be useful for people working in the financial industry, for those aiming to work there one day, and for anyone interested in quantitative finance. The topics that are discussed are relevant for MSc and PhD students, academic researchers, and for quants in the financial industry.Supplementary Material:Solutions Manual is available to instructors who adopt this textbook for their courses. Please contact [email protected].

Modeling Derivatives Applications in Matlab, C++, and Excel

Modeling Derivatives Applications in Matlab, C++, and Excel PDF Author: Justin London
Publisher: Financial Times/Prentice Hall
ISBN:
Category : Business & Economics
Languages : en
Pages : 608

Get Book Here

Book Description
Hundreds of financial institutions now market complex derivatives; thousands of financial and technical professionals need to model them accurately and effectively. This volume brings together proven, tested real-time models for each of todays leading modeling platforms to help professionals save months of development time, while improving the accuracy and reliability of the models they create.

MATLAB with Applications to Engineering, Physics and Finance

MATLAB with Applications to Engineering, Physics and Finance PDF Author: David Baez-Lopez
Publisher: CRC Press
ISBN: 1439806993
Category : Mathematics
Languages : en
Pages : 428

Get Book Here

Book Description
Master the tools of MATLAB through hands-on examples Shows How to Solve Math Problems Using MATLAB The mathematical software MATLAB® integrates computation, visualization, and programming to produce a powerful tool for a number of different tasks in mathematics. Focusing on the MATLAB toolboxes especially dedicated to science, finance, and engineering, MATLAB® with Applications to Engineering, Physics and Finance explains how to perform complex mathematical tasks with relatively simple programs. This versatile book is accessible enough for novices and users with only a fundamental knowledge of MATLAB, yet covers many sophisticated concepts to make it helpful for experienced users as well. The author first introduces the basics of MATLAB, describing simple functions such as differentiation, integration, and plotting. He then addresses advanced topics, including programming, producing executables, publishing results directly from MATLAB programs, and creating graphical user interfaces. The text also presents examples of Simulink® that highlight the advantages of using this software package for system modeling and simulation. The applications-dedicated chapters at the end of the book explore the use of MATLAB in digital signal processing, chemical and food engineering, astronomy, optics, financial derivatives, and much more.