Stocks and bonds? Real estate? Hedge funds? Private equity? If you think those are the things to focus on in building an investment portfolio, Andrew Ang has accumulated a body of research that will prove otherwise.
In his new book Asset Management: A Systematic Approach to Factor Investing, Ang upends the conventional wisdom about asset allocation by showing that what matters aren't asset class labels but the bundles of overlapping risks they represent. Making investments is like eating a healthy diet, Ang says: you've got to look through the foods you eat to focus on the nutrients they contain. Failing to do so can lead to a serious case of malnutrition-for investors as well as diners.
The key, in Ang's view, is bad times, and the fact that every investor's bad times are somewhat different. The notion that bad times are paramount is the guiding principle of the book, which offers a new approach to the age-old problem of where do you put your money? Years of experience, both as a finance professor and as a consultant, have led Ang to see that the traditional approach, with its focus on asset classes, is too crude and ultimately too costly to serve investors adequately. He focuses instead on "factor risks," the peculiar sets of hard times that cut across asset classes, and that must be the focus of our attention if we are to weather market turmoil and receive the rewards that come with doing so. Optimally harvesting factor premiums-on our own or by hiring others-requires identifying your particular set of hard times, and exploiting the difference between them and those of the average investor.
Clearly written yet chock-full of the latest research and data, Asset Management will be indispensable reading for trustees, professional money managers, smart private investors, and business students who want to understand the economics behind factor risk premiums, harvest them efficiently in their portfolios, and embark on the search for true alpha.

In Asset Pricing and Portfolio Choice Theory, Kerry E. Back at last offers what is at once a welcoming introduction to and a comprehensive overview of asset pricing. Useful as a textbook for graduate students in finance, with extensive exercises and a solutions manual available for professors, the book will also serve as an essential reference for scholars and professionals, as it includes detailed proofs and calculations as section appendices.
Topics covered include the classical results on single-period, discrete-time, and continuous-time models, as well as various proposed explanations for the equity premium and risk-free rate puzzles and chapters on heterogeneous beliefs, asymmetric information, non-expected utility preferences, and production models. The book includes numerous exercises designed to provide practice with the concepts and to introduce additional results. Each chapter concludes with a notes and references section that supplies pathways to additional developments in the field.

Matlab is used within nearly all investment banks and is a requirement in most quant job ads. There is no other book written for finance practitioners that covers this Enables readers to implement financial and econometric models in Matlab All central concepts and theories are illustrated by Matlab implementations which are accompanied by detailed descriptions of the programming steps needed All concepts and techniques are introduced from a basic level Chapter 1 introduces Matlab and matrix algebra, it serves to make the reader familiar with the use and basic capabilities if Matlab. The chapter concludes with a walkthrough of a linear regression model, showing how Matlab can be used to solve an example problem analytically and by the use of optimization and simulation techniques Chapter 2 introduces expected return and risk as central concepts in finance theory using fixed income instruments as examples, the chapter illustrates how risk measures such as standard deviation, Modified duration, VaR, and expected shortfall can be calculated empirically and in closed form Chapter 3 introduces the concept of diversification and illustrates how the efficient investment frontier can be derived - a Matlab is developed that can be used to calculate a given number of portfolios that lie on an efficient frontier, the chapter also introduces the CAPM Chapter 4 introduces econometric tools: principle component analysis is presented and used as a prelude to yield-curve factor models. The Nelson-Siegel model is used to introduce the Kalman-Filter as a way to add time-series dynamics to the evolution of yield curves over time, time series models such as Vector Autoregression and regime-switching are also presented Supported by a website with online resources - www.kennyholm.com where all Matlab programs referred to in the text can be downloaded. The site also contains lecture slides and answers to end of chapter exercises