Quantitative Methods for Finance and Investments
Published on 4. February 2009
296 pages
978-1-4051-4184-0 (ISBN)
Description
Quantitative Methods for Finance and Investments ensures that readers come away from reading it with a reasonable degree of comfort and proficiency in applying elementary mathematics to several types of financial analysis. All of the methodology in this book is geared toward the development, implementation, and analysis of financial models to solve financial problems.
Reviews / Votes
"This excellent text patiently guides the reader through a widearray of mathematics, ranging from elementary matrix algebra todifferential and integral calculus. The quantitative methods areillustrated with a rich and captivating assortment of applicationsto the analysis of portfolios, derivatives, exchange, fixed incomeinstruments, and equities. Undergraduate and MBA-level students whohave read this book will feel comfortable with the mathematics intheir finance courses and their professors can focus on teachingfinance as it should be taught." Kose John, Stern School ofBusiness, New York University <1--end--> "This volume provides a comprehensive review of mathematicswhich will prove invaluable for students of finance. It is areference book for the nonmathematician and a clear and concisetext that will help fill the gaps in students' knowledge. Althoughthe topic is quantitative methods, the organization, emphasis,applications, and numerous examples are all geared to the studentof finance. Having Teall and Hasan on your bookshelf provides anessential safety net for students, teachers, and practitioners."Paul Wachtel, Stern School of Business, New YorkUniversityMore details
Other editions
Additional editions
John Teall | Iftekhar Hasan
Quantitative Methods for Finance and Investments
Book
01/2002
1st Edition
Wiley
€120.50
Shipment within 15-20 days
Persons
John L. Teall is Professor of Finance at Pace University.He has published numerous articles in scholarly journals and hasserved on university faculties around the world. Dr Teall is aformer member of the American Stock Exchange and has doneconsulting work for many of the world's leading financialinstitutions.
Iftekhar Hasan is Professor of Finance at the New JerseyInstitute of Technology. He has published numerous articles inacademic journals and has been associated with several universitiesand regulatory organizations in Europe. He is the co-editor ofResearch in Banking and Finance.
Content
Preface.
Acknowledgments.
1. Introduction and Overview:.
The Importance of Mathematics in Finance.
Mathematical and Computer Modeling in Finance.
Money, Securities, and Markets.
Time Value, Risk, Arbitrage, and Pricing.
The Organization of this Book.
2. Review of Elementary Mathematics: Functions and Operations:.
Introduction.
Variables, Equations, and Inequalities.
Exponents.
The Order of Arithmetic Operations and the Rules of Algebra.
The Number e.
Logarithms.
Subscripts.
Summations.
Double Summations.
Products.
Factorial Products.
Permutations and Combinations.
Exercises.
Appendix: An Introduction to the ExcelT Spreadsheet.
3. A Review of Elementary Mathematics: Algebra and Solving Equations:.
Algebraic Manipulations.
The Quadratic Formula.
Solving Systems of Equations that Contain Multiple Variables.
Geometric Expansions.
Functions and Graphs.
Exercises.
Appendix: Solving Systems of Equations on a Spreadsheet.
4. The Time Value of Money:.
Introduction and Future Value.
Simple Interest.
Compound Interest.
Fractional Period Compounding of Interest.
Continuous Compounding of Interest.
Annuity Future Values.
Discounting and Present Value.
Present Value of a Series of Cash Flows.
Annuity Present Values.
Amortization.
Perpetuity Models.
Single-stage Growth Models.
Multiple-stage Growth Models.
Exercises.
Appendix: Time Value Spreadsheet Applications.
5. Return, Risk, and Co-movement:.
Return on Investment.
Geometric Mean Return on Investment.
Internal Rate of Return.
Bond Yields.
An Introduction to Risk.
Expected Return.
Variance and Standard Deviation.
Historical Variance and Standard Deviation.
Covariance.
The Coefficient of Correlation and the Coefficient of Determination.
Exercises.
Appendix: Return and Risk Spreadsheet Applications.
6. Elementary Portfolio Mathematics:.
An Introduction to Portfolio Analysis.
Portfolio Return.
Portfolio Variance.
Diversification and Efficiency.
The Market Portfolio and Beta.
Deriving the Portfolio Variance Expression.
Exercises.
7. Elements of Matrix Mathematics:.
An Introduction to Matrices.
Matrix Arithmetic.
Inverting Matrices.
Solving Systems of Equations.
Spanning the State Space.
Exercises.
Appendix: Matrix mathematics on a Spreadsheet.
8. Differential Calculus:.
Functions and Limits.
Slopes, Derivatives, Maxima, and Minima.
Derivatives of Polynomials.
Partial and Total Derivatives.
The Chain Rule, Product Rule, and Quotient Rule.
Logarithmic and Exponential Functions.
Taylor Series Expansions.
The Method of LaGrange Multipliers.
Exercises.
Appendix: Derivatives of Polynomials.
Appendix: A Table of Rules for Finding Derivatives.
Appendix: Portfolio Risk Minimization on a Spreadsheet.
9. Integral Calculus:.
Antidifferentiation and the Indefinite Integral.
Riemann Sums.
Definite Integrals and Areas.
Differential Equations.
Exercises.
Appendix: Rules for Finding Integrals.
Appendix: Riemann sums on a spreadsheet.
10. Elements of Options Mathematics:.
An Introduction to Stock Options.
Binomial Option Pricing: One Time Period.
Binomial Option Pricing: Multiple Time Periods.
The Black-Scholes Option Pricing Model.
Puts and Valuation.
Black-Scholes Model Sensitivities.
Estimating Implied Volatilities.
Exercises.
References.
Appendix A: Solutions to Exercises.
Appendix B: The z-Table.
Appendix C: Notation.
Appendix D: Glossary.
Index.
