Posted Price Offers in Internet Auction Markets PDF Download

Author: Stefan Seifert
Publisher: Springer Science & Business Media
ISBN: 3540352686
Category : Business & Economics
Languages : en
Pages : 194

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Book Description
Applying a Market Engineering approach, this book introduces a model of an auction with a posted price offer, and investigates the characteristics of such mechanisms. It discusses the respective equilibrium strategies of sellers and the bidders, providing useful insight into actual behavior. The theoretic results are compared with strategies of students in a controlled experiment. The experimental observations expose shortcomings of standard economic theories and help to further improve electronic markets.

Author: Donald Brown
Publisher: Springer Science & Business Media
ISBN: 3540765913
Category : Business & Economics
Languages : en
Pages : 204

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Book Description
This monograph presents a general equilibrium methodology for microeconomic policy analysis. It is intended to serve as an alternative to the now classical, axiomatic general equilibrium theory as exposited in Debreu`s Theory of Value (1959) or Arrow and Hahn`s General Competitive Analysis (1971). The monograph consists of several essays written over the last decade. It also contains an appendix by Charles Steinhorn on the elements of O-minimal structures.

Author: Dirk Briskorn
Publisher: Springer Science & Business Media
ISBN: 3540755187
Category : Business & Economics
Languages : en
Pages : 164

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Book Description
In the context of sports leagues scheduling (SLS) several groups' interests must be taken into account. This book treats requirements for sport leagues schedules to be realizable from an operational and a security point of view, attractive for spectators and TV channels, and fair for the competing teams. Formal problem definitions as well as integer programming models are presented and analyzed.

Author: Mark Hickman
Publisher: Springer Science & Business Media
ISBN: 3540733124
Category : Technology & Engineering
Languages : en
Pages : 437

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Book Description
This volume consists of selected papers presented at the Ninth International Conference on Computer-Aided Scheduling of Public Transport. Coverage includes the use of computer-aided methods and operations research techniques to improve: information management; network and route planning; vehicle and crew scheduling and rostering; vehicle monitoring and management; and practical experience with scheduling and public transport planning methods.

Author: PierCarlo Nicola
Publisher: Springer Science & Business Media
ISBN: 3540773975
Category : Business & Economics
Languages : en
Pages : 265

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Book Description
This book presents a macroeconomic dynamic model à la Solow-Swan, including the market for labor, in a discrete time structure. The model is expanded to include expenditure on R&D and public expenditure on infrastructure. For each of the three models the results are shown in time series figures, which demonstrate that even small changes in the parameters produce responses in the time behavior of the main variables: from steady growth, to regular cycles, to chaotic-like time paths.

Author: Norman Ehrentreich
Publisher: Springer Science & Business Media
ISBN: 3540738789
Category : Business & Economics
Languages : en
Pages : 238

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Book Description
This book reconciles the existence of technical trading with the Efficient Market Hypothesis. By analyzing a well-known agent-based model, the Santa Fe Institute Artificial Stock Market (SFI-ASM), it finds that when selective forces are weak, financial evolution cannot guarantee that only the fittest trading rules will survive. Its main contribution lies in the application of standard results from population genetics which have widely been neglected in the agent-based community.

Author: David Ardia
Publisher: Springer Science & Business Media
ISBN: 3540786570
Category : Business & Economics
Languages : en
Pages : 206

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Book Description
This book presents in detail methodologies for the Bayesian estimation of sing- regime and regime-switching GARCH models. These models are widespread and essential tools in n ancial econometrics and have, until recently, mainly been estimated using the classical Maximum Likelihood technique. As this study aims to demonstrate, the Bayesian approach o ers an attractive alternative which enables small sample results, robust estimation, model discrimination and probabilistic statements on nonlinear functions of the model parameters. The author is indebted to numerous individuals for help in the preparation of this study. Primarily, I owe a great debt to Prof. Dr. Philippe J. Deschamps who inspired me to study Bayesian econometrics, suggested the subject, guided me under his supervision and encouraged my research. I would also like to thank Prof. Dr. Martin Wallmeier and my colleagues of the Department of Quantitative Economics, in particular Michael Beer, Roberto Cerratti and Gilles Kaltenrieder, for their useful comments and discussions. I am very indebted to my friends Carlos Ord as Criado, Julien A. Straubhaar, J er ^ ome Ph. A. Taillard and Mathieu Vuilleumier, for their support in the elds of economics, mathematics and statistics. Thanks also to my friend Kevin Barnes who helped with my English in this work. Finally, I am greatly indebted to my parents and grandparents for their support and encouragement while I was struggling with the writing of this thesis.

Author: Yong Fang
Publisher: Springer Science & Business Media
ISBN: 3540779264
Category : Business & Economics
Languages : en
Pages : 170

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Book Description
Most of the existing portfolio selection models are based on the probability theory. Though they often deal with the uncertainty via probabilistic - proaches, we have to mention that the probabilistic approaches only partly capture the reality. Some other techniques have also been applied to handle the uncertainty of the ?nancial markets, for instance, the fuzzy set theory [Zadeh (1965)]. In reality, many events with fuzziness are characterized by probabilistic approaches, although they are not random events. The fuzzy set theory has been widely used to solve many practical problems, including ?nancial risk management. By using fuzzy mathematical approaches, quan- tative analysis, qualitative analysis, the experts’ knowledge and the investors’ subjective opinions can be better integrated into a portfolio selection model. The contents of this book mainly comprise of the authors’ research results for fuzzy portfolio selection problems in recent years. In addition, in the book, the authors will also introduce some other important progress in the ?eld of fuzzy portfolio optimization. Some fundamental issues and problems of po- folioselectionhavebeenstudiedsystematicallyandextensivelybytheauthors to apply fuzzy systems theory and optimization methods. A new framework for investment analysis is presented in this book. A series of portfolio sel- tion models are given and some of them might be more e?cient for practical applications. Some application examples are given to illustrate these models by using real data from the Chinese securities markets.

Author: Christiane Barz
Publisher: Springer Science & Business Media
ISBN: 3540730133
Category : Business & Economics
Languages : en
Pages : 167

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Book Description
This book revises the well-known capacity control problem in revenue management from the perspective of a risk-averse decision-maker. Modelling an expected utility maximizing decision maker, the problem is formulated as a risk-sensitive Markov decision process. Special emphasis is put on the existence of structured optimal policies. Numerical examples illustrate the results.

Author: Abraham C.-L. Chian
Publisher: Springer Science & Business Media
ISBN: 3540397531
Category : Business & Economics
Languages : en
Pages : 109

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Book Description
Statistical analysis of stock markets and foreign exchange markets has demonstrated the intermittent nature of economic time series. A nonlinear model of business cycles is able to simulate intermittency arising from order-chaos and chaos-chaos transitions. This monograph introduces new concepts of unstable periodic orbits and chaotic saddles, which are unstable structures embedded in a chaotic attractor and responsible for economic intermittency.