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"Trading and Money Management in a Student-Managed Portfolio is a hands-on textbook for student-managed investment funds (SMIFs). The book presents the applied material that textbooks on portfolios and investments always overlook. Its focus on "how-to" questions summarizes the disciplines and skills necessary for trading. Covering equities, hedge funds and derivatives, and fixed income, it captures the breadth and detail necessary for developing and executing trading strategies.Developed specifically for SMIF courses, the book features calculations, examples, and software that help you move from talking about markets to taking positions in them."

"The science of algorithmic trading and portfolio management, with its emphasis on algorithmic trading processes and current trading models, sits apart from others of its kind. Robert Kissell, the first author to discuss algorithmic trading across the various asset classes, provides key insights into ways to develop, test, and build trading algorithms.This valuable book summarizes market structure, the formation of prices, and how different participants interact with one another, including bluffing, speculating, and gambling. Portfolio management topics, including quant factors and black box models, are discussed, and an accompanying website includes examples, data sets supplementing exercises in the book, and large projects"

"The primary purpose in this book is to present an integrated and innovative methodological approach for the construction and selection of equity portfolios. The approach takes into account the inherent multidimensional nature of the problem, while allowing the decision makers to incorporate specified preferences in the decision processes. A fundamental principle of modern portfolio theory is that comparisons between portfolios are generally made using two criteria, the expected return and portfolio variance. According to most of the portfolio models derived from the stochastic dominance approach, the group of portfolios open to comparisons is divided into two parts: the efficient portfolios, and the dominated. This work integrates the two approaches providing a unified model for decision making in portfolio management with multiple criteria.​"