As the complexity of financial markets keeps growing, so does the need to understand the decision-making and the coordination of the exsuing actions in the marketplace. In particular, the disclosure of information to market participants and its impact on the market outcome mertis attention. This study analyses the role of private and public information in currency crises. Calls for increased dissemination of economic and policy-related information by central banks notwithstanding, the study shows that transparency is not generally conductive to preventing speculative attacks in fixed...
As the complexity of financial markets keeps growing, so does the need to understand the decision-making and the coordination of the exsuing action...
This volume contains eleven articles which deal with different aspects of dynaoic and differential game theory and its applications in economic modeling and decision making. All but one of these were presented as invited papers in special sessions I organized at the 7th Annual Conference on Economic Dynamics and Control in London, England, during the period June 26-28, 1985. The first article, which comprises Chapter 1, provides a general introduction to the topic of dynamic and differential game theory, discusses various noncooperative equilibrium solution concepts, includ ing Nash,...
This volume contains eleven articles which deal with different aspects of dynaoic and differential game theory and its applications in economic modeli...
The author is indebted to the Alfred P. Sloan Foundation and to the Graduate School of the University of Minnesota for financial aid. This permitted visits with quite a few old Cowlespeople, reproduction of documents, and some reduction in teaching commitments. The many who responded with information and suggestions cannot be blamed for the shortcomings of the book. Faculty and staff at the Cowles Foundation were particularly helpful. Dori Clifton, Business Manager, and Karlee Gifford, Librarian, were always resourceful in locating people and documents. Michael Intrilgator, Leonid Hurwicz,...
The author is indebted to the Alfred P. Sloan Foundation and to the Graduate School of the University of Minnesota for financial aid. This permitted v...
In recent years researchers have spent much effort in developing efficient heuristic algorithms for solving the class of NP-complete problems which are widely believed to be inherently intractable from the computational point of view. Although algorithms have been designed and are notorious among researchers, computer programs are either not implemented on computers or very difficult to obtain. The purpose of this book is to provide a source of FORTRAN coded algorithms for a selected number of well-known combinatorial optimization problems. The book is intended to be used as a supplementary...
In recent years researchers have spent much effort in developing efficient heuristic algorithms for solving the class of NP-complete problems which ar...
This collection of 188 nonlinear programming test examples is a supplement of the test problem collection published by Hock and Schittkowski 2]. As in the former case, the intention is to present an extensive set of nonlinear programming problems that were used by other authors in the past to develop, test or compare optimization algorithms. There is no distinction between an "easy" or "difficult" test problem, since any related classification must depend on the underlying algorithm and test design. For instance, a nonlinear least squares problem may be solved easily by a special purpose...
This collection of 188 nonlinear programming test examples is a supplement of the test problem collection published by Hock and Schittkowski 2]. As i...
This study is concerned with forecasting time series variables and the impact of the level of aggregation on the efficiency of the forecasts. Since temporally and contemporaneously disaggregated data at various levels have become available for many countries, regions, and variables during the last decades the question which data and procedures to use for prediction has become increasingly important in recent years. This study aims at pointing out some of the problems involved and at pro viding some suggestions how to proceed in particular situations. Many of the results have been circulated...
This study is concerned with forecasting time series variables and the impact of the level of aggregation on the efficiency of the forecasts. Since te...
This book adopts the decision theoretic viewpoint in the organization design problems in management and organization theory. The first part considers a short-run adaptive process in the organization. The organization design is represented by a combination of the organization structure and the management system and constitutes a part of the sequential decision problem of the work. The second part considers the long-run adaptive process for modifying and improving the work. This process is formulated as a partially observable Markov decision process. The final part restates the theoretical...
This book adopts the decision theoretic viewpoint in the organization design problems in management and organization theory. The first part considers ...
The success of metaheuristics on hard single-objective optimization problems is well recognized today. However, many real-life problems require taking into account several conflicting points of view corresponding to multiple objectives. The use of metaheuristic optimization techniques for multi-objective problems is the subject of this volume. The book includes selected surveys, tutorials and state-of-the-art research papers in this field, which were first presented at a free workshop jointly organized by the French working group on Multi-objective Mathematical Programming (PM2O) and the EURO...
The success of metaheuristics on hard single-objective optimization problems is well recognized today. However, many real-life problems require taking...
This book provides a methodological framework to model univariate and multivariate irregularly spaced financial data. It gives a thorough review of recent developments in the econometric literature, puts forward existing approaches and opens up new directions. The book presents alternative ways to model so-called financial point processes using dynamic duration as well as intensity models and discusses their ability to account for specific features of point process data, like the occurrence of time-varying covariates, censoring mechanisms and multivariate structures. Moreover, it...
This book provides a methodological framework to model univariate and multivariate irregularly spaced financial data. It gives a thorough review of...
Vector optimization model has found many important applications in decision making problems such as those in economics theory, management science, and engineering design (since the introduction of the Pareto optimal solu- tion in 1896). Typical examples of vector optimization model include maxi- mization/minimization of the objective pairs (time, cost), (benefit, cost), and (mean, variance) etc. Many practical equilibrium problems can be formulated as variational in- equality problems, rather than optimization problems, unless further assump- tions are imposed. The vector variational...
Vector optimization model has found many important applications in decision making problems such as those in economics theory, management science, and...
