Introduction to Mathematical Portfolio Theory
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Table of Contents

Preface; 1. Definitions of risk and return; 2. Efficient portfolios: the two-asset case; 3. Portfolios with a risk-free asset; 4. Finding the efficient frontier – the multi-asset case; 5. Single-factor models; 6. Multi-factor models; 7. Introducing utility; 8. Utility and risk aversion; 9. Foundations of utility theory; 10. Maximising long-term growth; 11. Stochastic dominance; 12. Risk measures; 13. The Capital Asset Pricing Model; 14. The arbitrage pricing model; 15. Market efficiency and rationality; 16. Brownian motion and stock price models across time; Appendix A. Matrix algebra; Appendix B. Solutions; References; Index.

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This concise yet comprehensive guide focuses on the mathematics of portfolio theory without losing sight of the finance.

About the Author

Mark S. Joshi is a researcher and consultant in mathematical finance, and a Professor at the University of Melbourne. His research focuses on derivatives pricing and interest rate derivatives in particular. He is the author of numerous research articles on quantitative finance and four books. Jane M. Paterson obtained a PhD in pure mathematics from the University of Melbourne. She furthered her academic experience with a postdoctoral fellowship at the Mathematical Sciences Research Institute, Berkeley and a research fellowship at the University of Cambridge. More recently she has worked in both the UK and Australia as a director in a variety of specialist and generalist banking roles, including structured finance and economic capital, with organisations including National Australia Bank and ANZ.

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