Lecture 6 Classifications of Interest Rate Models.

Slides:



Advertisements
Similar presentations
A Multi-Phase, Flexible, and Accurate Lattice for Pricing Complex Derivatives with Multiple Market Variables.
Advertisements

United Nations Statistics Division/DESA
Parameterizing Interest Rate Models Kevin C. Ahlgrim, ASA Stephen P. D’Arcy, FCAS Richard W. Gorvett, FCAS Casualty Actuarial Society Special Interest.
The Arbitrage Pricing Theory (Chapter 10)  Single-Factor APT Model  Multi-Factor APT Models  Arbitrage Opportunities  Disequilibrium in APT  Is APT.
Arvid Kjellberg- Jakub Lawik - Juan Mojica - Xiaodong Xu.
 The Effective Annual Rate (EAR) ◦ Indicates the total amount of interest that will be earned at the end of one year ◦ The EAR considers the effect of.
Using the recombining binomial tree to pricing the interest rate derivatives: Libor Market Model 何俊儒 2007/11/27.
Casualty Actuarial Society Experienced Practitioner Pathway Seminar Lecture 5 – Advanced Quantitative Analysis Stephen P. D’Arcy, FCAS, MAAA, Ph.D. Robitaille.
Enterprise Risk Management in the Insurance Industry Steve D’Arcy Fellow of the Casualty Actuarial Society Professor of Finance - University of Illinois.
United Nations Statistics Division Scope and Role of Quarterly National Accounts Training Workshop on the Compilation of Quarterly National Accounts for.
What is Forecasting? A forecast is an estimate of what is likely to happen in the future. Forecasts are concerned with determining what the future will.
Decision Making: An Introduction 1. 2 Decision Making Decision Making is a process of choosing among two or more alternative courses of action for the.
L7: Stochastic Process 1 Lecture 7: Stochastic Process The following topics are covered: –Markov Property and Markov Stochastic Process –Wiener Process.
1 16-Option Valuation. 2 Pricing Options Simple example of no arbitrage pricing: Stock with known price: S 0 =$3 Consider a derivative contract on S:
Topic 1: Introduction. Interest Rate Interest rate (r) is rate of return that reflects the relationship between differently dated cash flows. Real risk-free.
1 Models of Exchange Rate Determination Lecture 1 IME LIUC Nov-Dec
Ch. 19 J. Hull, Options, Futures and Other Derivatives Zvi Wiener Framework for pricing derivatives.
Economics 214 Lecture 2 Mathematical Framework of Economic Analysis Continued.
5.1 Option pricing: pre-analytics Lecture Notation c : European call option price p :European put option price S 0 :Stock price today X :Strike.
Binnenlandse Francqui Leerstoel VUB Black Scholes and beyond André Farber Solvay Business School University of Brussels.
1 Models of Exchange Rate Determination Lecture 1 IME LIUC 2008.
AGEC 622 Mission is prepare you for a job in business Have you ever made a price forecast? How much confidence did you place on your forecast? Was it correct?
Economics 215 Intermediate Macroeconomics Introduction.
Derivatives Introduction to option pricing André Farber Solvay Business School University of Brussels.
Drawing up Project Resource Statements and Project Financial Statements.
OPTION PRICING: BASICS Aswath Damodaran 1. 2 The ingredients that make an “option” Aswath Damodaran 2  An option provides the holder with the right to.
Diffusion Processes and Ito’s Lemma
1 MONEY & BANKING Week 3: The behavior of Interest rates Chapter 5.
18.1 Options, Futures, and Other Derivatives, 5th edition © 2002 by John C. Hull Numerical Procedures Chapter 18.
Derivative Pricing Black-Scholes Model
© 2011 Neil D. Pearson A Simulation Implementation of the Hull- White Model Neil D. Pearson.
Lecture No.11 Chapter 4 Contemporary Engineering Economics Copyright © 2010 Contemporary Engineering Economics, 5th edition, © 2010.
Wiener Processes and Itô’s Lemma Chapter 12 1 Options, Futures, and Other Derivatives, 7th Edition, Copyright © John C. Hull 2008.
Business Cycle Facts. 1 Real Output of the U.S. economy.
1 The availability, timeliness and quality of rapid estimates UNCTAD experience Henri Laurencin INTERNATIONAL SEMINAR ON TIMELINESS, METHODOLOGY AND COMPARABILITY.
Eco 6351 Economics for Managers Chapter 10a. The Business Cycle Prof. Vera Adamchik.
Learning Objective 1 Explain the two assumptions frequently used in cost-behavior estimation. Determining How Costs Behave – Chapter10.
Forecasting supply chain requirements
Options, Futures, and Other Derivatives, 5th edition © 2002 by John C. Hull 23.1 Interest Rate Derivatives: Models of the Short Rate Chapter 23.
Financial Risk Management In a Volatile Economy R.Kannan 20 October 2011 Annual CFO Conference – Silicon India.
10.1 Options, Futures, and Other Derivatives, 4th edition © 1999 by John C. Hull Model of the Behavior of Stock Prices Chapter 10.
1 Derivatives & Risk Management: Part II Models, valuation and risk management.
An Overview of Economic Data Su, Chapter 2, section I.
Valuation of Asian Option Qi An Jingjing Guo. CONTENT Asian option Pricing Monte Carlo simulation Conclusion.
Basic Numerical Procedures Chapter 19 1 Options, Futures, and Other Derivatives, 7th Edition, Copyright © John C. Hull 2008.
Chapter 9 CAPITAL ASSET PRICING AND ARBITRAGE PRICING THEORY The Risk Reward Relationship.
CIA Annual Meeting LOOKING BACK…focused on the future.
Dynamic Programming. A Simple Example Capital as a State Variable.
Class Business Upcoming Groupwork Course Evaluations.
Real Options Stochastic Processes Prof. Luiz Brandão 2009.
Options, Futures, and Other Derivatives, 4th edition © 1999 by John C. Hull 21.1 Interest Rate Derivatives: Models of the Short Rate Chapter 21.
Real Estate Finance, January XX, 2016 Review.  The interest rate can be thought of as the price of consumption now rather than later If you deposit $100.
Find the amount after 7 years if $100 is invested at an interest rate of 13% per year if it is a. compounded annually b. compounded quarterly.
The Black-Scholes-Merton Model
ESTIMATING THE BINOMIAL TREE
Determining How Costs Behave
Equivalence Calculations with Effective Interest Rates
Financial Risk Management of Insurance Enterprises
Interest Rate Derivatives: Models of the Short Rate
5. Volatility, sensitivity and VaR
Binomial Trees in Practice
Portfolio Risk Management : A Primer
Chapter 5 Interest Rates
Chapter 7: Beyond Black-Scholes
Binomial Trees in Practice
Chapter 8 Supplement Forecasting.
Lecturer Dr. Veronika Alhanaqtah
Presentation transcript:

Lecture 6 Classifications of Interest Rate Models

Three Classifications Discrete vs. Continuous Single Factor vs. Multiple Factors General Equilbrium vs. Arbitrage Free

Discrete Models Discrete models have interest rates change only at specified intervals Typical interval is monthly Daily, quarterly or annually also feasible Discrete models can be illustrated by a lattice approach

Continuous Models Interest rates change continuously and smoothly (no jumps or discontinuities) Mathematically tractable Accumulated value = e rt Example $1 million invested for 1 year at r = 5% Accumulated value = 1 million x e.05 = 1,051,271

Single Factor Models Single factor is the short term interest rate for discrete models Single factor is the instantaneous short term rate for continuous time models Entire term structure is based on the short term rate For every short term interest rate there is one, and only one, corresponding term structure

Multiple Factor Models Variety of alternative choices for additional factors Short term real interest rate and inflation (CIR) Short term rate and long term rate (Brennan- Schwartz) Short term rate and volatility parameter (Longstaff-Schwartz) Short term rate and mean reverting drift (Hull- White)

General Equilibrium Models Start with assumptions about economic variables Derive a process for the short term interest rate Based on expectations of investors in the economy Term structure of interest rates is an output of model Does not generate the current term structure Limited usefulness for pricing interest rate contingent securities More useful for capturing time series variation in interest rates Often provides closed form solutions for interest rate movements and prices of securities

Arbitrage Free Models Designed to be exactly consistent with current term structure of interest rates Current term structure is an input Useful for valuing interest rate contingent securities Requires frequent recalibration to use model over any length of time Difficult to use for time series modeling

Conclusion There is no single ideal term structure model useful for all purposes Single factor models are simpler to use, but may not be as accurate as multiple factor models General equilibrium models are useful for modeling term structure behavior over time Arbitrage free models are useful for pricing interest rate contingent securities How the model will be used determines which interest rate model would be most appropriate