Endogenous market power in an emissions trading scheme with auctioning

This paper contributes to the literature on market power in emissions permits markets, modeling an emissions trading scheme in which polluters differ with respect to their marginal abatement costs at the business-as-usual emissions. The polluters play a two-stage static complete information game in which their market power arises endogenously from their characteristics. In the first stage all polluters bid in an auction for the distribution of the fixed supply of permits issued by the regulator, and in the second stage they trade these permits in a secondary market. For compliance, they can also engage in abatement activity at a quadratic cost. Under the assumptions of the model, in equilibrium all polluters are successful in the auction. In the secondary market the low-cost emitters are net sellers and the high-cost emitters are net buyers. Moreover, the high-cost emitters are worse off as a result of the strategic behavior. In addition, the secondary market price is unambiguously above the auction clearing price. I find that the aggregate compliance cost when polluters act strategically increases in the heterogeneity of their marginal abatement costs at the business-as-usual emissions, but there exists a threshold of the fixed supply of permits above which strategic behavior is compliance cost-saving for the polluters. Finally, for a low enough variance of the marginal abatement cost at the business-as-usual emissions, strategic behavior is compliance cost-saving for the polluters, regardless of the level of the available supply of permits.     

Efficiency of continuous double auctions under individual evolutionary learning with full or limited information

In this paper we explore how specific aspects of market transparency and agents’ behavior affect the efficiency of the market outcome. In particular, we are interested whether learning behavior with and without information about actions of other participants improves market efficiency. We consider a simple market for a homogeneous good populated by buyers and sellers. The valuations of the buyers and the costs of the sellers are given exogenously. Agents are involved in consecutive trading sessions, which are organized as a continuous double auction with order book. Using Individual Evolutionary Learning agents submit price bids and offers, trying to learn the most profitable strategy by looking at their realized and counterfactual or “foregone” payoffs. We find that learning outcomes heavily depend on information treatments. Under full information about actions of others, agents’ orders tend to be similar, while under limited information agents tend to submit their valuations/costs. This behavioral outcome results in higher price volatility for the latter treatment. We also find that learning improves allocative efficiency when compared to outcomes with Zero-Intelligent traders.     

A common value auction model with endogenous entry and information acquisition

Summary Much of the auction literature assumes both a fixed number of bidders and a fixed information setting. This sidesteps the important and often costly decisions a potential bidder must make prior to an auction: Should I enter and, if I do, what level of resources should I expend evaluating the good prior to bidding? We answer these questions for a stylized information model of a common value auction. The expected selling price is shown to be the expected value of the good minus the expected aggregate entry and information costs of the bidders. Thus, the seller indirectly pays for these costs to the bidders. There are auctions where the seller seemingly restricts the bidders' information expenditures. While this restriction does influence the entry decision, we demonstrate that the overall effect can be to improve the selling price. Finally, the probability of entry and the chosen accuracy of the information are never more in the second-price auction than in the first-price auction, and the seller prefers the second-price auction.We are grateful for the comments and suggestions of seminar participants at the University of British Columbia, Dartmouth College, the University of Wisconsin, Yale University, and the International Conference on Game Theory and Economics at SUNY Stony Brook.     

Intraday trade in dealership markets

We develop and test a structural asymmetric information transaction model to characterize the price impact of information when markets are thin. Since orders are accepted individually, the model allows for transaction costs and brokerage fees. Equilibrium demands mixed entry strategies on the part of potentially informed traders. Estimation of the structural parameters is performed using a maximum likelihood procedure on NYSE data. The structural model is rejected primarily because the nonlinear restrictions do not allow for sufficient correlation between price movements and pricing errors. This leads to unreasonably low estimates of the probability of informed trade relative to an unrestricted alternative. The price impact of information is found to be positive and significant, but economically small. This is because although the amount of private information is substantial, the quality of the information signals is poor, particularly in the middle of the trading day. Informed agents do not trade small quantities, which suggests that their ability to divide orders is limited by transaction costs.     

Limit orders,asymmetric information,and the formation of asset prices with a computerized specialist

We analyze the existence of equilibrium in an asset market under asymmetric information. Price formation is modeled as a bilateral sealed bid auction where uninformed and informed traders submit limit orders to a computerized specialist. The computerized specialist is programmed to sell to the highest bidder and buy from the seller asking the lowest price. We show that this mechanism — which is designed to model the Globex and RAES trading institutions used in Chicago, London, New York, Paris, and Germany — yields an equilibrium in which the bid-ask spread is endogenously random and the passive specialist earns nonnegative profits.     

风险投资退出股权拍卖机制研究

设计了满足信息有效和激励相容条件的风险投资退出股权拍卖机制,有效解决了风险投资退出时股权交易市场中不对称信息导致的市场萎缩和交易价格失真等问题。通过与其他交易方式的交易绩效进行比较分析,进一步证明了本文所设计的拍卖机制的有效性。     

中国股市隐性交易成本影响因素分析

在电子指令驱动的交易制度下,中国股票价格、市场深度、知情交易概率、信息冲击、股价波动和买卖指令的不平衡性,都是影响隐性交易成本的因素;中国股市流动性、波动性和有效性,都对隐性交易成本产生影响,即流动性差、有效性低、波动性高会导致隐性交易成本增大.这一结论从实证上得到了验证.因此,隐性交易成本是衡量股票市场运行效率的一个综合性指标.     

Market power,private information,and the optimal scale of pollution permit markets with application to North Carolina's Neuse River

We extend the analysis of optimal scale in pollution permit markets by allowing for both market power and private information. We characterize the total costs (abatement costs and damages) under market power and private information and compare them to total costs under competition. It is possible for both market power and private information to lead to lower total costs than competition, but generally the differences between the three market structures will be small. We also conduct an optimal scale analysis of nitrogen pollution from waste water treatment plants (WWTP) into North Carolina's Neuse River System. An economic model of damages and abatement costs is integrated with a hydro-ecological model of nitrogen flow through the Neuse. We determine the optimal number of trading zones and allocate the WWTP into these zones. Under the most likely regulatory scenario, we find cost savings of 1.55 million dollars per year under the optimal market design relative to the typical 303(d) regulation in which the WWTP are not allowed to trade.     

Bidding in an Electricity Pay-as-Bid Auction

One of the main elements of the recent reform of electricity trading in the United Kingdom is the change from a uniform price auction in the wholesale market to discriminatory pricing. We analyze this change under two polar market structures (perfectly competitive and monopolistic supply), with demand uncertainty. We find that under perfect competition there is a trade-off between efficiency and consumer surplus between the two auction rules. We also establish that a move from uniform to discriminatory pricing under monopoly conditions has a negative impact on profits and output (weakly), a positive impact on consumer surplus, and ambiguous implications for welfare and average prices.     

Permit Trading and Credit Trading: A Comparison of Cap-Based and Rate-Based Emissions Trading Under Perfect and Imperfect Competition

This paper compares emissions trading based on a cap on total emissions (permit trading) and on relative standards per unit of output (credit trading). Two types of market structure are considered: perfect competition and Cournot oligopoly. We find that output, abatement costs and the number of firms are higher under credit trading. Allowing trade between permit-trading and credit-trading sectors may increase welfare. With perfect competition, permit trading always leads to higher welfare than credit trading. With imperfect competition, credit trading may outperform permit trading. Environmental policy can lead to exit, but also to entry of firms. Entry and exit have a profound impact on the performance of the schemes, especially under imperfect competition. We find that it may be impossible to implement certain levels of total industry emissions. Under credit trading several levels of the relative standard can achieve the same total level of emissions.     

Extending the Sectoral Coverage of an International Emission Trading Scheme

In a model inspired by the EU Emissions Trading Scheme, non-cooperative countries allocate their emissions to internationally trading and non-trading sectors. Each country is better off with trading than without, and aggregate welfare is maximized with all sectors in the trading scheme. We analyze the effects of extending the sectoral coverage of the trading scheme in a two-country model with quadratic abatement costs. If only the original trading sector is asymmetric between countries, the welfare change is always positive and the same in both countries. If the original and additional trading sectors are asymmetric, one country might lose, but there is an aggregate welfare gain. If the original trading sector and the non-trading sector are asymmetric, both countries always gain.     

Auctioning Risky Conservation Contracts

Conservation auctions have the potential to increase the efficiency of payments to farmers to adopt conservation-friendly management practices by fostering competition among them. The literature considers bidders that have complete information about the costs of adoption and optimal bidding behavior reflects this information advantage. Farmers seek information rents and bids decrease when risk aversion increases because farmers are more averse to losing the auction. We contribute to the literature by allowing for cost risk. Our paper shows that farmers must balance the risk of losing the auction (thus foregoing information rent) with the risk of submitting a bid that is not high enough to pay the costs of adopting conservation practices (thus incurring losses). We design an experiment to trade off these two risks and examine how risk aversion affects bidding behavior when participants face different sources and levels of risk. Our experiment contributes to a small literature on experimental auctions with risky product valuations. We find that participants decrease their bids as risk aversion increases, even in auctions with cost risk, suggesting that the risk of losing the auction dominates. These findings uncover new challenges for the practical implementation of conservation auctions as an efficient policy instrument.     

An Experimental Study of Electronic Bulletin Board Trading for Emission Permits

This paper reports a laboratory experiment that studies several features of a tradable emission permit program recently implemented in the Los Angeles area. The experiment focuses on the new Electronic Bulletin Board trading institution, in which firms publicly post proposed terms of trade. Potential trading partners can review this information online, and transactions are executed following bilateral negotiation. The experiment includes trading restrictions implemented in the regulations due to the geography of Los Angeles. We find that the bulletin board market performs well and that prices reflect market conditions as accurately as in the continuous double auction trading institution.     

Perfect competition in an oligopoly (including bilateral monopoly)

We show that if limit orders are required to vary smoothly, then strategic (Nash) equilibria of the double auction mechanism yield competitive (Walras) allocations. It is not necessary to have competitors on any side of any market: smooth trading is a substitute for price wars. In particular, Nash equilibria are Walrasian even in a bilateral monopoly.     

Laboratory Behavior in Spot and Forward Auction Markets

Auctions that require advance production increase seller costs because inventories must be held. This cost does not exist in production-to-demand markets for which production follows trading, and sales exactly match quantities produced. Data from laboratory computerized double auction markets show that advance-production prices are significantly higher and quantities traded are significantly lower than they are in production-to-demand auctions. Price convergence patterns show advance-production sellers moving toward 9% higher prices and 22% greater earnings.     

Sequential procurement auctions with risk-averse suppliers

We compare two procurement mechanisms, bundling and unbundling, in a two-stage auction model with risk-averse suppliers. The mechanisms differ in that the two tasks of investment and production are procured through a single auction or two sequential auctions. Suppliers’ production costs are affected by two risk factors, aggregate risk and idiosyncratic risk, as well as by the cost-reducing investment. We show that the bundling mechanism is optimal for a buyer and socially desirable if the aggregate risk is below certain thresholds. The result may not hold true for idiosyncratic risk.     

Marketmaking in the Laboratory: Does Competition Matter?

This paper is the first experimental study of the effects of competition and adverse selection on the performance of market maker (MM-) markets. Information distribution may is either symmetric or heterogeneous. MM-markets are either monopolistic (the specialist markets), or competitive (the multi MM-market). Welfare comparisons are with respect to a continuous double auction (DA-) market. Informed subjects receive an imperfect signal of the true state of the world. We find three main results. First, competition among market makers significantly reduces the bid-ask spread, and increases transaction volume. Second, competition among market makers induces competitive undercutting, yielding net trading losses for market makers as a group in most periods. Third, from the perspective of uninformed traders, a competing MM-regime is optimal, since it minimizes their expected trading losses.     

Increasing Competition and the Winner's Curse: Evidence from Procurement

We assess empirically the effects of the winner's curse which, in common–value auctions, counsels more conservative bidding as the number of competitors increases. First, we construct an econometric model of an auction in which bidders' preferences have both common– and private–value components, and propose a new monotone quantile approach which facilitates estimation of this model. Second, we estimate the model using bids from procurement auctions held by the State of New Jersey. For a large subset of these auctions, we find that median procurement costs rise as competition intensifies. In this setting, then, asymmetric information overturns the common economic wisdom that more competition is always desirable.     

Incomplete Information, Trading Costs and Cross‐autocorrelations in Stock Returns

This paper provides an economic rationale for the cross‐autocorrelation patterns in stock returns in the context of a microstructure model in which investors have incomplete information. The paper shows that in a market in which investors are informed about only a sub‐set of stocks, the emergence of lead‐lag, cross‐autocorrelations is a function of the cost of trading in other stocks based on information about the sub‐set of stocks. If cross‐trading costs are high, informed investors will trade only in the sub‐set of stocks they are informed about; if cross‐trading costs are moderate, informed investors will randomize between trading and not trading in other stocks; and if cross‐trading costs are low, they will trade in all stocks. When informed investors trade only in a sub‐set of stocks, prices of stocks with more informed trading will adjust to common factor information faster than the prices of stocks with less informed trading giving rise to asymmetric lead‐lag cross‐autocorrelations. When informed investors trade in all stocks, asymmetric lead‐lag cross‐autocorrelations will disappear as a result of their cross‐market arbitrage trading. These results provide a number of testable implications for lead‐lag cross‐autocorrelation patterns. The data is consistent with the empirical predictions .
(J.E.L.G12, G14).     

Framing Effects,Selective Information,and Market Behavior: An Experimental Analysis

The results of an asset market experiment, in which sixty-four subjects trade two assets on eight markets in a computerized continuous double auction, indicate that objectively irrelevant information influences trading behavior. We find that positively and negatively framed information leads to a particular trading pattern, but leaves trading prices and volume unaffected. The experiment also provided support for the disposition effect. Participants who experience a gain sell their assets more rapidly than participants who experience a loss, and positively framed subjects generally sell their assets later than negatively framed subjects.