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This edited volume contains 16 research articles. It presents recent and pressing issues in stochastic processes, control theory, differential games, optimization, and their applications in finance, manufacturing, queueing networks, and climate control. One of the salient features is that the book is highly multi-disciplinary. The book is dedicated to Professor Suresh Sethi on the occasion of his 60th birthday, in view of his distinguished career.
Advances in Quantitative Analysis of Finance and Accounting (New Series) is an annual publication designed to disseminate developments in the quantitative analysis of finance and accounting. The publication is a forum for statistical and quantitative analyses of issues in finance and accounting as well as applications of quantitative methods to problems in financial management, financial accounting, and business management. The objective is to promote interaction between academic research in finance and accounting and applied research in the financial community and the accounting profession. The papers in this volume cover a wide range of topics including corporate finance and debt management, earnings management, equity market, auditing, option pricing theory, and interest rate theory. In this volume there are eleven chapters, five of them are corporate finance and debt management: 1. Liquidity and Adverse Selection: Evidence from the Five-or-Fewer Rule Change; 2. Changing Business Environment and the Value of Relevance of Accounting Information; 3. Pricing Risky Securities in Hidden Markov-Modulated Poisson Processes; 4. An Empirical Assessment of Alternative Dividend Expectation Models; 5. Quantitative Market Risk Disclosure, Bond Default Risk and The Cost of Debt: Why Value At Risk? There are two of the other six chapters which cover interest rate theory: 1. Positive Interest Rates and Yields: Additional Serious Considerations; 2. Collapse of Dimensionality in the Interest Rate Term Structure. The remaining four chapters cover financial analysts earnings forecasts, equity market, auditing, and option pricing theory. These four papers are: 1. Investors’ Apparent Under-weighting of Financial Analysts’ Earnings Forecasts: The Role of Share Price Scaling and Omitted Risk Factors; 2. Predicting Stock Price by Applying the Residual Income Model and Bayesian Statistics; 3. Intertemporal Associations Between Non-Audit Services and Auditors’ Tendency to Allow Discretionary Accruals; 4. Put Option Portfolio Insurance vs. Asset Allocation.
Proceedings of the Joint Meeting of the Austrian and Swiss Operations Research Societies, Vienna, September 22-24, 1980
A rigorous introduction to optimal control theory, with an emphasis on applications in economics. This book bridges optimal control theory and economics, discussing ordinary differential equations, optimal control, game theory, and mechanism design in one volume. Technically rigorous and largely self-contained, it provides an introduction to the use of optimal control theory for deterministic continuous-time systems in economics. The theory of ordinary differential equations (ODEs) is the backbone of the theory developed in the book, and chapter 2 offers a detailed review of basic concepts in the theory of ODEs, including the solution of systems of linear ODEs, state-space analysis, potential functions, and stability analysis. Following this, the book covers the main results of optimal control theory, in particular necessary and sufficient optimality conditions; game theory, with an emphasis on differential games; and the application of control-theoretic concepts to the design of economic mechanisms. Appendixes provide a mathematical review and full solutions to all end-of-chapter problems. The material is presented at three levels: single-person decision making; games, in which a group of decision makers interact strategically; and mechanism design, which is concerned with a designer's creation of an environment in which players interact to maximize the designer's objective. The book focuses on applications; the problems are an integral part of the text. It is intended for use as a textbook or reference for graduate students, teachers, and researchers interested in applications of control theory beyond its classical use in economic growth. The book will also appeal to readers interested in a modeling approach to certain practical problems involving dynamic continuous-time models.
Optimal control methods are used to determine optimal ways to control a dynamic system. The theoretical work in this field serves as a foundation for the book, which the authors have applied to business management problems developed from their research and classroom instruction. Sethi and Thompson have provided management science and economics communities with a thoroughly revised edition of their classic text on Optimal Control Theory. The new edition has been completely refined with careful attention to the text and graphic material presentation. Chapters cover a range of topics including finance, production and inventory problems, marketing problems, machine maintenance and replacement, problems of optimal consumption of natural resources, and applications of control theory to economics. The book contains new results that were not available when the first edition was published, as well as an expansion of the material on stochastic optimal control theory.