Mathematical Models in Portfolio Analysis

:
( 12 )
110 pages
Langue:
 English
This book explains portfolio modelling in financial mathematics as a consistent mathematical theory. Topics include mean-variance portfolio analysis and capital market theory.
Ceci est un eBook gratuit pour les étudiants
Inscrivez-vous gratuitement
Tous les livres pour étudiants sont gratuits, sans exception. Moins de 15% de publicités dans les livres.
 
Premier mois gratuit
Abonnement pro gratuit les 30 premiers jours, puis$5.99/mois
Dernière publication
A propos de l'auteur

Farida Kachapova graduated from the Moscow State University, Russia, with a Master Degree in mathematics with distinction and completed a Ph.D. in mathematical logic in the same university in 1987. She also has a Graduate Diploma in Teaching from the University of Auckland, New Zealand.

Fari...

Description
Content

This book explains portfolio modelling in financial mathematics as a consistent mathematical theory with all steps justified. The topics include mean-variance portfolio analysis and capital market theory. The book contains many examples with solutions. Linear algebra rather than calculus is used as foundation for portfolio analysis; this approach is more conceptual and helps to avoid tedious calculations. The reader does not need much previous mathematical knowledge, only interest in mathematics and its financial applications because the book provides a general mathematical introduction.

Preface

Part 1: Mathematical Introduction

  1. Matrices and Applications
    1. Terminology
    2. Matrix Operations
    3. Determinants
    4. Systems of Linear Equations
    5. Positive Definite Matrices
    6. Hyperbola
  2. Orthogonal Projection
    1. Orthogonal Projection onto a Subspace
    2. Orthogonal Projection onto a Vector
    3. Minimal Property of Orthogonal Projection
  3. Random Variables
    1. Numerical Characteristics of a Random Variable
    2. Covariance and Correlation Coefficient
    3. Covariance Matrix
  4. Regression
    1. Euclidean Space of Random Variables
    2. Regression
    3. Regression to a Constant
    4. Simple Linear Regression
  5. Part 2: Portfolio Analysis

  6. Portfolio Modelling
    1. Terminology
    2. Short Sales
    3. Minimizing Risk
    4. Statistical Parameters of an N-Asset Portfolio
    5. Envelope of Financial Assets
  7. Mean-Variance Analysis
    1. Principle of Two Fund Separation
    2. Efficient Frontier
    3. Mean-Variance Relation
    4. Mean-Variance Relation for 2-Asset Portfolios
  8. Capital Market Theory
    1. Risk-Free Asset
    2. Tangency Portfolio
    3. Market Portfolio. Capital Market Line
    4. Finding Market Portfolio and CML Equation
    5. Regression in Finance. Beta Coefficient
    6. Capital Asset Pricing Model and Security Market Line
  9. Bibliography