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Based on courses developed by the author over several years, this book provides access to a broad area of research that is not available in separate articles or books of readings. Topics covered include the meaning and measurement of risk, general single-period portfolio problems, mean-variance analysis and the Capital Asset Pricing Model, the Arbitrage Pricing Theory, complete markets, multiperiod portfolio problems and the Intertemporal Capital Asset Pricing Model, the Black-Scholes option pricing model and contingent claims analysis, 'risk-neutral' pricing with Martingales, Modigliani-Miller and the capital structure of the firm, interest rates and the term structure, and others.
This handbook in two parts covers key topics of the theory of financial decision making. Some of the papers discuss real applications or case studies as well. There are a number of new papers that have never been published before especially in Part II.Part I is concerned with Decision Making Under Uncertainty. This includes subsections on Arbitrage, Utility Theory, Risk Aversion and Static Portfolio Theory, and Stochastic Dominance. Part II is concerned with Dynamic Modeling that is the transition for static decision making to multiperiod decision making. The analysis starts with Risk Measures and then discusses Dynamic Portfolio Theory, Tactical Asset Allocation and Asset-Liability Management Using Utility and Goal Based Consumption-Investment Decision Models.A comprehensive set of problems both computational and review and mind expanding with many unsolved problems are in an accompanying problems book. The handbook plus the book of problems form a very strong set of materials for PhD and Masters courses both as the main or as supplementary text in finance theory, financial decision making and portfolio theory. For researchers, it is a valuable resource being an up to date treatment of topics in the classic books on these topics by Johnathan Ingersoll in 1988, and William Ziemba and Raymond Vickson in 1975 (updated 2 nd edition published in 2006).
This book consists of invaluable introductions, tutorials and problems which are helpful for teaching purposes and have a very broad appeal and usage. The problems cover many aspects of static and dynamic portfolio theory as well as other important subjects such as arbitrage and asset pricing, utility theory, stochastic dominance, risk aversion and static portfolio theory, risk measures, dynamic portfolio theory and asset allocation. This material could be used with important books that cover these topics including MacLean-Ziemba's The Handbook of the Fundamentals of Financial Decision Making, and Ziemba-Vickson's Stochastic Optimization Models in Finance.
Financial Dec Making under Uncertainty
Master's Thesis from the year 2012 in the subject Economics - Other, grade: 1,3, University of Münster (Institut für Siedlungs- und Wohnungswesen), language: English, abstract: Behavioral economics is a relatively young subdiscipline of economics that has garnered a noticeable amount of attention especially over the last two decades. It seeks to utilize findings from other scientific fields, especially psychology, in order to enhance the plausibility of neo-classical (mainstream) economic models without replacing or abandoning them . The inclusion of psychology into economic thinking is nothing new, however. Instead, it can be traced back to the period of the classical economists of the 18th century. While lacking the rigorous formal approach of today ́s behavioral economists, the conception of the human nature and human decision making was surprisingly sophisticated at the time. For instance, time-inconsistent preferences, which are an important aspect of behavioral economics, have already been examined by David Hume and Adam Smith . Other phenomena, including loss aversion and overconfidence, have also been discussed by classical economists. This thesis has the following structure: Chapter 2 explains a general, quite powerful model of dynamically inconsistent preferences. Special emphasis is placed on real-life examples as well as welfare analysis, including political implications. As we move along, we will constantly compare our findings to the results we would obtain from the neoclassical paradigm. The next two chapters take a closer look at time inconsistencies in the realm of financial decision making. We will examine the behavior of individuals regarding credit card debt in chapter 3, which will require the introduction of another model that is more specifically tailored towards the credit card market. However, the foundations laid out in chapter 2 will be helpful in understanding this second model of inconsistency. Chapter 3 will also discuss recent legislation in credit card markets in the US. In chapter 4, we discuss retirement savings decisions, specifically in the context of the 401(k) retirement plan . After having introduced two models already that explain how people and companies act in certain situations, in the chapter we will discuss several behavioral phenomena that help us explain the motivation behind the decisions of individuals. We will assess the costs and benefits of government interference into the market and the possible measures that might improve the market outcome. Chapter 5 concludes and discusses interesting questions that might be examined further in the future.
Behavioral finance challenges the traditional assumption that individuals are rational by focusing on the cognitive and emotional aspects of finance, which draws on psychology, sociology, and biology to investigate true financial behavior. The financial sector requires sound understanding of market dynamics and strategic issues to meet future challenges in the field. Behavioral Finance and Decision-Making Models seeks to examine behavioral biases and their impact on investment decisions in order to develop better future plans and strategies in the financial sector. While highlighting topics including behavioral approach, financial regulation, and globalized sector, this book is intended for policymakers, technology developers, managers, government officials, academicians, researchers, and advanced-level students.
This accessible Handbook provides an essential entry point for those with an interest in the increasingly complex subject of financial decision making. It sheds light on new paradigms in society and the ways that new tools from private actors have affected financial decision making. Covering a broad range of key topics in the area, leading researchers summarize the state-of-the-art in their respective areas of expertise, delineating their projections for the future.
This book reviews the latest research from psychology, neuroscience, and behavioral economics evaluating how people make financial choices in real-life circumstances. The volume is divided into three sections investigating financial decision making at the level of the brain, the level of an individual decision maker, and the level of the society, concluding with a discussion of the implications for further research. Among the topics discussed: Neural and hormonal bases of financial decision making Personality, cognitive abilities, emotions, and financial decisions Aging and financial decision making Coping methods for making financial choices under uncertainty Stock market crashes and market bubbles Psychological perspectives on borrowing, paying taxes, gambling, and charitable giving Psychological Perspectives on Financial Decision Making is a useful reference for researchers both in and outside of psychology, including decision-making experts, consumer psychologists, and behavioral economists.