The Dynamics Of Auction

Addresses how social interaction forms the foundation to sale of art and antiques worth many billions of pounds each year.

Each year art and antiques worth many billions of pounds are sold at auction. These auctions consist of numerous, intense episodes of social interaction through which the price of goods rapidly escalates until sold on the strike of a hammer. In this book, Christian Heath examines the fine details of interaction that arises at auctions, the talk and visible conduct of the participants, and their use of various tools and technologies. He explores how auctioneers, buyers and their representatives are able to transact the sale of goods worth anything from a few dollars through to many millions in just seconds. Heath addresses how order, trust, and competition are established at auctions and demonstrates how an economic institution of some global importance is founded upon embodied action and interaction. The analysis is based on video recordings of sales of art and antiques gathered within a range of national and international auction houses in Europe and the United States.

In recent years, auctions have become an important field and many markets have designed new and sophisticated auction models to assign different types of items. The prime goal of this book is to set an organized classification of the main auction mechanisms in a way that readers can understand the importance of auction design and the advantages and drawbacks of each model. Given the relevance of the subject, there is a great volume of research about this topic. Nevertheless, most of these contributions use complex mathematical language difficult to understand for the average reader. In this book, the authors summarize the main ideas of the auction theory and explain them with simple language and plenty of examples. This book is a good starting point for any researcher interested in embracing the auction design as it also includes numerous real-world examples to engage the reader in the topic. “This book fills an important gap by making the main ideas and findings of auction research accessible.” Professor Paul Milgrom, Department of Economics, Stanford University.

Smith tells how the straight capitalist economic law of supply and demand rarely governs the auction process, and how the beliefs and actions of the auction participants determine values.

Markets in Profile explores the confluence of three disparate philosophical frameworks: the Market Profile, behavioral finance, and neuroeconomics in order to present a unified theory of how markets work. The Market Profile is an ever-evolving, multidimensional graphic that gives visual form to the market's continuing auction process, revealing the myriad underlying dynamics that influence market activity. Behavioral finance posits that investors are driven more by emotional factors and the subjective interpretation of minutia than by "rationality" when making investment decisions. And neuroeconomics is the study of how investor psychology permeates and affects the financial markets. Mr. Dalton explicates the ways in which irrational human behavior influences the market's natural auction process, creating frequently predictable market structure, which results in opportunities for investors to ameliorate risk. The book will improve investors ability to interpret change in markets, enabling better, more confident investment decisions.

The use of the internet for commerce has spawned a variety of auctions, marketplaces, and exchanges for trading everything from bandwidth to books. Mechanisms for bidding agents, dynamic pricing, and combinatorial bids are being implemented in support of internet-based auctions, giving rise to new versions of optimization and resource allocation models. This volume, a collection of papers from an IMA "Hot Topics" workshop in internet auctions, includes descriptions of real and proposed auctions, complete with mathematical model formulations, theoretical results, solution approaches, and computational studies. This volume also provides a mathematical programming perspective on open questions in auction theory, and provides a glimpse of the growing area of dynamic pricing.

Explore cutting-edge statistical methodologies for collecting, analyzing, and modeling online auction data Online auctions are an increasingly important marketplace, as the new mechanisms and formats underlying these auctions have enabled the capturing and recording of large amounts of bidding data that are used to make important business decisions. As a result, new statistical ideas and innovation are needed to understand bidders, sellers, and prices. Combining methodologies from the fields of statistics, data mining, information systems, and economics, Modeling Online Auctions introduces a new approach to identifying obstacles and asking new questions using online auction data. The authors draw upon their extensive experience to introduce the latest methods for extracting new knowledge from online auction data. Rather than approach the topic from the traditional game-theoretic perspective, the book treats the online auction mechanism as a data generator, outlining methods to collect, explore, model, and forecast data. Topics covered include: Data collection methods for online auctions and related issues that arise in drawing data samples from a Web site Models for bidder and bid arrivals, treating the different approaches for exploring bidder-seller networks Data exploration, such as integration of time series and cross-sectional information; curve clustering; semi-continuous data structures; and data hierarchies The use of functional regression as well as functional differential equation models, spatial models, and stochastic models for capturing relationships in auction data Specialized methods and models for forecasting auction prices and their applications in automated bidding decision rule systems Throughout the book, R and MATLAB software are used for illustrating the discussed techniques. In addition, a related Web site features many of the book's datasets and R and MATLAB code that allow readers to replicate the analyses and learn new methods to apply to their own research. Modeling Online Auctions is a valuable book for graduate-level courses on data mining and applied regression analysis. It is also a one-of-a-kind reference for researchers in the fields of statistics, information systems, business, and marketing who work with electronic data and are looking for new approaches for understanding online auctions and processes. Visit this book's companion website by clicking here

This text bridges the gulf between theoretical economic principles of negotiation and auction theory and their multifaceted applications in actual practice. It is intended to be a supplement to the already existing literature, as a comprehensive collection of reports detailing experiences and results of very different negotiations and auctions.