Neoclassical Finance

Neoclassical Finance provides a concise and powerful account of the underlying principles of modern finance, drawing on a generation of theoretical and empirical advances in the field. Stephen Ross developed the no arbitrage principle, tying asset pricing to the simple proposition that there are no free lunches in financial markets, and jointly with John Cox he developed the related concept of risk-neutral pricing. In this book Ross makes a strong case that these concepts are the fundamental pillars of modern finance and, in particular, of market efficiency. In an efficient market prices reflect the information possessed by the market and, as a consequence, trading schemes using commonly available information to beat the market are doomed to fail. By stark contrast, the currently popular stance offered by behavioral finance, fueled by a number of apparent anomalies in the financial markets, regards market prices as subject to the psychological whims of investors. But without any appeal to psychology, Ross shows that neoclassical theory provides a simple and rich explanation that resolves many of the anomalies on which behavioral finance has been fixated. Based on the inaugural Princeton Lectures in Finance, sponsored by the Bendheim Center for Finance of Princeton University, this elegant book represents a major contribution to the ongoing debate on market efficiency, and serves as a useful primer on the fundamentals of finance for both scholars and practitioners.

An analysis of the links between risk management and value creation Risk Management and Value Creation in Financial Institutions explores a variety of methods that can be utilized to create economic value at financial institutions. This invaluable resource shows how banks can use risk management to create value for shareholders, addresses the advantages of risk-adjusted return on capital (RAROC) measures, and develops the foundations for a model to identify comparative advantages that emerge as a result of risk-management decisions. It is the only book needed for banking executives interested in the relationship between risk management and value creation.

Keynes established that both the short-run and long-run performance of a capitalist system depend upon investment, but he failed to arrive at an alternative to the neoclassical theory of investment. Professor Gordon demostrates that the extension of neoclassical theory to deal with uncertainty and risk aversion is based upon a string of assumptions which are empirically false. The competitive stationary state, the foundation for the neoclassical theory of a capitalist system, is shown to be unfeasible because it results in a very high probability of bankruptcy at the micro level and the system's early collapse on the macro level. Capitalists seeking long-term survival are shown to be subject to a growth impreative, to the pursuit of monopoly power, and to a concern for financial policy. Later sections of the book discuss the consequences of this behaviour for the short-run fluctuations and the long-run development of capitalist systems.

In this fascinating book, Imad A. Moosa challenges existing preconceptions surrounding normative economics, arguing that what some economists see as undisputed facts of life may be myths caused by dogmatic thinking. Plausible explanations are suggested for puzzles in various areas of economics and finance, such as the home bias puzzle, the PPP puzzle and the presidential puzzle. Controversies in Economics and Finance is a thought-provoking and stimulating read that exposes common flaws in economic analysis. It will be of great benefit to academics, graduate students and policy-makers looking to understand the limits of economic analysis.

A collection of essays dealing with financial markets' imperfections, and the inability of neoclassical economics to deal with such imperfections. This book argues that financial economics, as based on the tenets of neoclassical economics, cannot answer or solve the real-life problems that people face.

Behavioralizing Finance provides a structured approach to behavioral finance in respect to underlying psychological concepts, formal framework, testable hypotheses, and empirical findings.

The volumes in this set, originally published between 1970 and 1996, draw together research by leading academics in the area of economic and financial markets, and provide a rigorous examination of related key issues. The volumes examine the stock exchange, capital cities as financial centres, international capital, the financial system, bond duration, security market indices and artificial intelligence applications on Wall Street, whilst also exploring the general principles and practices of financial markets in various countries. This set will be of particular interest to students of economics and finance respectively.

Handbook of Alternative Data in Finance, Volume I motivates and challenges the reader to explore and apply Alternative Data in finance. The book provides a robust and in-depth overview of Alternative Data, including its definition, characteristics, difference from conventional data, categories of Alternative Data, Alternative Data providers, and more. The book also offers a rigorous and detailed exploration of process, application and delivery that should be practically useful to researchers and practitioners alike. Features Includes cutting edge applications in machine learning, fintech, and more Suitable for professional quantitative analysts, and as a resource for postgraduates and researchers in financial mathematics Features chapters from many leading researchers and practitioners