<p>In our daily life, almost every family owns a portfolio of assets. This portfolio could contain real assets such as a car, or a house, as well as financial assets such as stocks, bonds or futures. Portfolio theory deals with how to form a satisfied portfolio among an enormous number of assets. Or
Portfolio Selection and Asset Pricing: Models of Financial Economics and Their Applications in Investing
✍ Scribed by Jamil Baz; Helen Guo; Erol Hakanoglu
- Publisher
- McGraw-Hill Companies
- Year
- 2022
- Tongue
- English
- Leaves
- 426
- Category
- Library
No coin nor oath required. For personal study only.
✦ Synopsis
This uniquely comprehensive guide provides expert insights into everything from financial mathematics to the practical realities of asset allocation and pricing
Investors like you typically have a choice to make when seeking guidance for portfolio selection―either a book of practical, hands-on approaches to your craft or an academic tome of theories and mathematical formulas.
From three top experts, Portfolio Selection and Asset Pricing strikes the right balance with an extensive discussion of mathematical foundations of portfolio choice and asset pricing models, and the practice of asset allocation. This thorough guide is conveniently organized into four sections:
Mathematical Foundations―normed vector spaces, optimization in discrete and continuous time, utility theory, and uncertainty Portfolio Models―single-period and continuous-time portfolio choice, analogies, asset allocation for a sovereign as an example, and liability-driven allocation Asset Pricing―capital asset pricing models, factor models, option pricing, and expected returns Robust Asset Allocation―robust estimation of optimization inputs, such as the Black-Litterman Model and shrinkage, and robust optimizers Whether you are a sophisticated investor or advanced graduate student, this high-level title combines rigorous mathematical theory with an emphasis on practical implementation techniques.
✦ Table of Contents
Cover
Title Page
Copyright Page
Dedication
Contents
Introduction
Acknowledgments
PART I Mathematical Foundations
1 Functional Analysis in Real Vector Spaces
2 Optimization in Discrete Time
3 Optimization in Continuous Time
4 Utility Theory
5 Uncertainty: Basics of Probability and Statistics
6 Uncertainty: Stochastic Processes and Calculus
PART II Portfolio Models
7 Single-Period and Continuous-Time Portfolio Choice
8 An Example of Asset Allocation for a Sovereign
9 Liability-Driven Asset Allocation
PART III Asset Pricing
10 Equilibrium Asset Pricing
11 Factor Models
12 Derivatives Pricing
13 Interest Rate Models
14 Risk Premia
PART IV Asset Allocation in Practice
15 Motivations for Robust Asset Allocation
16 Risk Budgeting Approach to Asset Allocation
17 Black–Litterman Model
18 Shrinkage
19 Robust Optimizers
Appendix
Bibliography
Index
📜 SIMILAR VOLUMES
<p>In Investors and Markets , Nobel Prize-winning financial economist William Sharpe shows that investment professionals cannot make good portfolio choices unless they understand the determinants of asset prices. But until now asset-price analysis has largely been inaccessible to everyone except Ph
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