Handbook Of The Fundamentals Of Financial Decision Making

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.

Finance for Strategic Decision Making demystifies andclarifies for non-financial executives the basics of financialanalysis. It shows how they can make important financial decisionsthat can critically enhance their institution’s ability torespond to competitive challenges, undertake new projects, overcomefinancial setbacks, and most importantly, create shareholder value.Written by M. P. Narayanan and Vikram K. Nanda—two of thecountry’s leading authorities on financialstrategy—this book offers a practical guide for usingfinancial analysis to enhance strategicdecision making. The bookincludes a coherent framework that outlines practical andintellectually sound guidance for executives who must makestrategic decisions. Finance for Strategic Decision Making Explains the role of finance in corporate strategy Offers guidance on resource allocation decisions Explores how to determine the right balance of debt and equitycapital to maximize firm value Demonstrates how to use payout policy as a strategic tool Clarifies if a merger, acquisition, or divestiture is in thebest interest of an organization Shows how to manage risk Reveals how to measure value created and the effectiveness ofupper level management