In a multi-attribute combinatorial double auction (MACDA), sellers and buyers’ preferences over multiple synergetic goods are best satisfied. In recent studies in MACDA, it is typically assumed that bidders must know the desired combination (and quantity) of items and the bundle price. They do not address a package combination which is the most desirable to a bidder. This study presents a new p...

ABSTRACT In recent years, RTB(Real Time Bidding) becomes a popular online advertisement trading method. During the auction, each DSP(Demand Side Platform) is supposed to evaluate current opportunity and respond with an ad and corresponding bid price. It’s essential for DSP to find an optimal ad selection and bid price determination strategy which maximizes revenue or performance under budget an...

This thesis proposes that the bidding process that occurs daily in the competitive short-run power market can be modeled as a dynamic system, or a dynamic game played by electricity generators. Such a game is a finitely repeated one of complete but imperfect information. In this thesis, a dynamic model representing a small shortrun power market is formulated as a repeated game. Daily price comp...

We develop a novel bidding strategy that software agents can use to buy and sell goods in Continuous Double Auctions (CDAs). Our strategy involves the agent forming a bid or ask by assessing the degree of risk involved and making a prediction about the competitive equilibrium that is likely to be reached in the marketplace. We benchmark our strategy against two of the most common strategies for...

Many industries utilize competitive, online reverse auctions for industrial procurement. In many of these auctions, the lowest price bidder is not guaranteed to be the winner and the buyer has full latitude to select the winner from any of the qualified bidders. What are the competitive bidding strategies of bidders in these online auctions? Using an adaptive hierarchical bounded rationality mi...

This paper designs a novel fuzzy competition and attitude based bidding strategy (FCA-Bid) for continuous double auction in which the best transaction price is calculated on account of the attitude of the agents and the competition for the goods in the market. The estimation of attitude is based on the bidding item’s attribute assessment, which adapts the fuzzy sets technique to handle uncertai...

This paper models sequential auctioning of two perfect substitutes by a strategic seller, who learns about demand from the first-auction price. The seller holds the second auction only when the remaining demand is strong enough to cover her opportunity cost. Bidding in anticipation of such a contingent future auction is characterized, including a sufficient condition for existence of an inverti...

Unlike perfect competitive markets, in oligopoly electricity markets due to strategic producers and transmission constraints GenCos may increase their own profit through strategic biddings. This paper investigates the problem of developing optimal bidding strategies of GenCos considering participants’ market power and transmission constraints. The problem is modeled as a bi-level optimizati...

We examine the profitability of two-part tariffs in name-your-own-price (NYOP) markets using incentivecompatible laboratory experiments. An NYOP seller who uses a two-part tariff charges an upfront nonrefundable bidding fee akin to an entrance fee into his store. We find two-part tariffs can be profitable to NYOP sellers, and we identify a strong moderator of this profitability: a decision aid ...

Increasing popularity of online auctions and the associated frauds have drawn the attention of many researchers. It is found [hal most of the auction sites prefer English auction to other auction mechanisms. The ease of adopting multiple fake idenlities over the Internet nourishes shill bidding by fraudulent sellers in English auction. In this paper we derive an equilibrium bidding strategy (0 ...