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In the 2nd edition of Asset Pricing and Portfolio Choice Theory, Kerry E. Back offers a concise yet comprehensive introduction to and overview of asset pricing. Intended as a textbook for asset pricing theory courses at the Ph.D. or Masters in Quantitative Finance level with extensive exercises and a solutions manual available for professors, the book is also an essential reference for financial researchers and professionals, as it includes detailed proofs and calculations as section appendices. The first two parts of the book explain portfolio choice and asset pricing theory in single-period, discrete-time, and continuous-time models. For valuation, the focus throughout is on stochastic discount factors and their properties. A section on derivative securities covers the usual derivatives (options, forwards and futures, and term structure models) and also applications of perpetual options to corporate debt, real options, and optimal irreversible investment. A chapter on "explaining puzzles" and the last part of the book provide introductions to a number of additional current topics in asset pricing research, including rare disasters, long-run risks, external and internal habits, asymmetric and incomplete information, heterogeneous beliefs, and non-expected-utility preferences. Each chapter includes a "Notes and References" section providing additional pathways to the literature. Each chapter also includes extensive exercises.
This text investigates the mathematical foundations and theoretical frameworks governing asset pricing and portfolio selection in modern financial markets. Kerry E. Back, a professor of finance, synthesizes complex economic models into a structured pedagogical format. The book utilizes stochastic discount factors as the primary mechanism for valuation, providing rigorous proofs and derivations to support its theoretical assertions.
What You Will Find
Scope Limits
Academics and finance professionals frequently identify this work as a rigorous, high-level resource for quantitative finance curricula. Experts note the density of the mathematical proofs, which makes it a standard reference for doctoral-level research and advanced financial modeling.
Page Count:
744
Publication Date:
2017-01-01
Publisher:
Oxford University Press
ISBN-10:
0190241152
ISBN-13:
9780190241155
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