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Introduction to R for Quantitative Finance

You're reading from   Introduction to R for Quantitative Finance R is a statistical computing language that's ideal for answering quantitative finance questions. This book gives you both theory and practice, all in clear language with stacks of real-world examples. Ideal for R beginners or expert alike.

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Product type Paperback
Published in Nov 2013
Publisher Packt
ISBN-13 9781783280933
Length 164 pages
Edition 1st Edition
Languages
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Toc

Table of Contents (17) Chapters Close

Introduction to R for Quantitative Finance
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
1. Time Series Analysis FREE CHAPTER 2. Portfolio Optimization 3. Asset Pricing Models 4. Fixed Income Securities 5. Estimating the Term Structure of Interest Rates 6. Derivatives Pricing 7. Credit Risk Management 8. Extreme Value Theory 9. Financial Networks References Index

Estimation of the term structure by linear regression


Suppose that the discount function can be expressed as the linear combination of the functions that are twice continuously differentiable functions as

where

We can estimate the weights by generalized least squares. We will discuss the choice of the functions later. The estimated discount function is the function of the estimated weights .

Let D denote an matrix whose elements are , and be the vector that contains the weights . Thus and

which is a linear regression model under the constraint that , which can be expressed as follows:

where .

The GLS estimation for the weights of equation (2) under the constraint of equation (3) is

where

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