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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

Pricing a convertible bond


Convertible bonds are usually issued by firms with low credit rating and high growth potential. These firms can lower their interest costs by giving the right (but with no obligation), to the bondholder to convert the bond into a specified number of shares of common stock of the issuing company. The investor receives the potential upside of conversion into equity, while having downside protection with cash flows from the bond. The company benefits from the fact that when the convertibles are converted, the leverage of the company decreases while the trade-off is the stock dilution when the bonds are converted.

These characteristics state that the convertible bonds' behavior has three different stages: in-the-money convertible bonds (conversion price < equity price) behave like equity, at-the-money (conversion price = equity price) convertible bonds are considered as equity and debt, while out-of-the money (conversion price > equity price) convertible bonds...

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