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Quantitative Methods for Finance and Investments. Edition No. 1

  • ID: 2217696
  • Book
  • January 2002
  • 296 Pages
  • John Wiley and Sons Ltd

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.

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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:.


Variables, Equations, and Inequalities.


The Order of Arithmetic Operations and the Rules of Algebra.

The Number e.




Double Summations.


Factorial Products.

Permutations and Combinations.


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.


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.


Perpetuity Models.

Single-stage Growth Models.

Multiple-stage Growth Models.


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.


The Coefficient of Correlation and the Coefficient of Determination.


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.


7. Elements of Matrix Mathematics:.

An Introduction to Matrices.

Matrix Arithmetic.

Inverting Matrices.

Solving Systems of Equations.

Spanning the State Space.


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.


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.


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.



Appendix A: Solutions to Exercises.

Appendix B: The z-Table.

Appendix C: Notation.

Appendix D: Glossary.


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John Teall Pace University.

Iftekhar Hasan New Jersey Institute of Technology.
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