Pearson Education Home Higher Education HomeInstructor SupportStudent SupportAbout UsCareers
Bookshop
Texts & Technology
ABOUT THIS PRODUCT
Description
Table of Contents
Features
 
PACKAGE OPTIONS
Valuepack(s)
 
RESOURCES
Student
Instructor
First Day of Class
 
INTERNET RESOURCES
Companion Website
 
RELATED TITLES
Undergraduate Corporate Finance (Finance)
Graduate (MBA) Corporate Finance (Finance)
Finance in a Nutshell: A no-nonsense companion to the tools and techniques of finance
View Larger Cover Image
View Larger Image

Javier Estrada, IESE Business School, Madrid

Publisher: Financial Times Press
Copyright: 2005
Format: Paper; 408 pp

ISBN-10: 0273675400
ISBN-13:9780273675402Help icon

Our Price: £29.99
Status: Instock
Published: 25 Aug 2005
Add this item to my shopping basket


Add to Exam Copy BookbagAdd to Exam Copy Bookbag PrintPrint Product Information

Table of Contents

PART 1. RISK AND RETURN

1        Returns I: Basic concepts

2        Returns II: Mean returns

3        Risk I: Total risk

4        Risk and return I: Portfolios

5        Risk II: Diversification

6        Risk III: Systematic Risk

7        Risk and return II: The CAPM, and the cost of capital

8        Risk and return III: Alternatives to the CAPM

9        Risk IV: Downside risk

10    Risk and return IV: Risk-adjusted returns

11    Risk and return V: Optimal portfolios

12    Risk and return: VI: The long run

PART 2. VALUATION

13    Stocks I: The dividend discount model

14    Stocks II: The WACC model

15    Stocks III: Other DCF models

16    Stocks IV: Reverse valuation

17    Stocks V: Relative valuation

18    Bonds I: Prices and yields

19    Bonds II: Default risk and market risk

20    Bonds III: Duration and convexity

 

PART 3. OTHER IMPORTANT TOPICS

21    NPV and IRR

22    Real options

23    Corporate value creation

24    Options

25    Futures and forwards

26    Currencies

PART 4. STATISTICAL BACKGROUND

27    Stats I: Summary statistics

28    Stats II: Normality

29    Stats III: Non-normality

30    Stats IV: Regression analysis

 

Index

Part V: Learning Scripts for Programs

      Appendices

Notes

 Bibliography

  Index

 

 

 
Pearson Education Home