Timing under individual evolutionary learning in a continuous double auction

The moment of order submission plays an important role for the trading outcome in a Continuous Double Auction; submitting an offer at the beginning of the trading period may yield a lower profit, as the trade is likely to be settled at the own offered price, whereas late offers result in a lower probability of trading. This timing problem makes the order submission strategy more difficult. We extend the behavioral model of Individual Evolutionary Learning to incorporate the timing problem and study the limiting distribution of submission moments and the resulting offer function that maps submission moments to offers. We find that traders submit different offers at different submission moments the distribution of which uni-modal with a peak moving from late to early as the market size increases. This behavior exacerbates efficiency loss from learning. If traders evaluate profitability of their strategies over longer history, orders are submitted later with the same effect of market size.     

On the Endogeneity of Market Power in Emissions Markets

Previous approaches on market power in emissions trading markets rely on the existence of a subset of competitive players. In this paper, I relax this assumption and treat market power as an endogenous concept which depends on the initial allocation of allowances. All parties realize their potential influence on the market price. This approach allows a clear comparative statics analysis of the impact of the allowance allocation on the efficiency of markets. I provide specific examples that illustrate the implications that stem from the proposed modeling approach relative to previous models.     

污染物减排政策效果比较——基于经济学视角

我国政府已经把减少污染物排放作为约束性指标纳入到国家中长期发展战略之中,采取有效的污染物减排政策是中国缓解环境压力、实现经济社会可持续发展的重要手段.排污权交易制度是在总量管制的情况下,通过污染物排放权的分配,最终实现该区域总的排污量削减.本文从经济学的视角,研究了排污权交易的实施基础,并与行政强制性减排以及环境税减排进行了效率比较,结果表明排污权交易比单纯的行政强制性排污和环境税约束具有更高的市场效率以及灵活性,同时并不会降低整个社会的污染物排放效果.此外,从市场势力的影响、市场信息的影响、交易规则的影响等方面讨论了影响排污权交易市场效率的因素,对我国排污权交易市场的发展提出了相应的建议,为排污权交易市场的稳定运行提供了理论参考.     

Implications of CO<Subscript>2</Subscript> emissions trading for short-run electricity market outcomes in northwest Europe

We examine the short-run implications of CO₂ trading for power production, prices, emissions, and generator profits in northwest Europe in 2005. Simulation results from a transmission-constrained oligopoly model are compared with theoretical analyses to quantify price increases and windfall profits earned by generators. The analyses indicate that the rates at which CO₂ costs are passed through to wholesale prices are affected by market competitiveness, merit order changes, and elasticities of demand and supply. Emissions trading results in large windfall profits, much but not all of which is due to free allocation of allowances. Profits also increase for some generators because their generation mix has low emissions, and so they benefit from electricity price increases. Most emission reductions appear to be due to demand response not generation redispatch.      

Offset Credits in the EU ETS: A Quantile Estimation of Firm-Level Transaction Costs

International carbon offset certificates were cheaper than European Union Allowances, although they were substitutes within the EU Emissions Trading System (EU ETS). Thus, firms had a strong incentive to use offset certificates. However, a considerable number of firms did not exhaust their offset quota and, by doing so, seemingly forwent profits. While most literature on emissions trading evaluates the efficiency of regulation in a frictionless world, in practice firms incur costs when complying with regulation. In order to assess the relevance of trade-related fixed transaction costs, this study examines the use of international offset credits in the EU ETS. It establishes a model of firm decision under fixed (quantity-invariant) entry costs and estimates the size of such costs rationalizing firm behavior using semi-parametric binary quantile regressions. Comparing binary quantile results with probit estimates shows that high average transaction costs result from a strongly skewed underlying distribution. For most firms, the bulk of transaction costs stems from certificate trading in general, rather than additional participation in offset trading.     

Rewards Available to Currency Futures Speculators: Compensation for Risk or Evidence of Inefficient Pricing?

Filter, channel and moving-average trading rules are compared with rules which use ARIMA price forecasts, by evaluating their ex ante performance for currency futures transactions from December 1981 to November 1987. All of the trading rules are profitable. Market efficiency is discussed Monte Carlo results strongly suggest that the trading profits are too large to be explained by the elusive, time-varying risk premium sought in forward market literature     

Price efficiency and trading behavior in limit order markets with competing insiders

We study price efficiency and trading behavior in laboratory limit order markets with asymmetrically informed traders. Markets differ in the number of insiders present and in the subset of traders who receive information about the number of insiders present. We observe that price efficiency (i) is the higher the higher the number of insiders in the market but (ii) is unaffected by changes in the subset of traders who know about the number of insiders present. (iii) Independent of the number of insiders, price efficiency increases gradually over time. (iv) The insiders’ information is reflected in prices via limit (market) orders if the asset’s value is inside (outside) the bid-ask spread. (v) In situations where limit and market orders yield positive profits, insiders clearly prefer market orders, indicating a strong desire for immediate transactions.     

Water quality trading with asymmetric information,uncertainty and transaction costs: A stochastic agent-based simulation

We examine the efficiency of emissions trading in bilateral and clearinghouse markets with heterogeneous, boundedly rational agents making decisions under imperfect and asymmetric information, and transaction costs. Results are derived using a stochastic agent-based simulation model of agents’ decision-making and interactions. Trading rules, market structures, and agent information structures are selected to represent emerging water quality trading programs. The analysis is designed to provide a strong test of the efficiency of trading occurring through the two market structures. The Differential Evolution algorithm is used to search for market trade strategies that perform well under multiple states of the world. Our findings suggest that trading under both bilateral and clearinghouse markets yields cost savings relatively to no trading. The clearinghouse is found to be more efficient than bilateral negotiations in coordinating point–nonpoint trading under uncertainty and transaction costs. However, the market under both structures is unlikely to achieve or even approximate least-cost pollution control allocations. Expectations of gains from water quality trading should, therefore, be tempered.     

“双碳”目标下碳交易与制造业绿色全要素生产率——基于异质性技术创新模式的机制检验

碳交易是推动制造业绿色发展,实现“双碳”目标的重要市场化工具,交易价格和市场规模能够反映碳交易实施状况,是影响制造业绿色全要素生产率的重要因素。从碳交易价格和市场规模切入,基于2008—2020年中国内地30个省份面板数据,构建连续型双重差分模型评估碳交易对制造业绿色全要素生产率的作用效果,并考察异质性技术创新模式的传导路径。结果表明,提高碳交易价格和扩大市场规模均能显著提升制造业绿色全要素生产率。机制检验表明,碳交易价格和市场规模能够推动自主创新、减少技术改造投入,进而影响制造业绿色全要素生产率,而技术引进并非有效路径。进一步研究发现,自主创新对技术改造存在挤出效应。研究结论对完善碳交易制度顶层设计、精准制定技术创新配套政策具有重要启示意义。     

Hot air for sale: a quantitative assessment of Russia’s near-term climate policy options

Since January 2005 the European Union has launched an EU-internal emissions trading scheme (EU ETS) for emission-intensive installations as the central pillar to comply with the Kyoto Protocol. The EU ETS will be linked to a Kyoto emissions market where greenhouse gas emission allowances of signatory Kyoto countries can be traded. In this paper we investigate the implications of Russian market power for environmental effectiveness and regional compliance costs to the Kyoto Protocol taking into account potential linkages between the Kyoto emissions market and the EU ETS. We find that Russia may have incentives to join the EU ETS as long as the latter remains relatively separated from the Kyoto international emissions market. In this case, Russia can exert monopolistic price discrimination between two separated markets thereby maximizing revenues from hot air sales. The EU will be able to substantially reduce compliance costs if it does not restrain itself to EU-internal emission regulation schemes. However, part of the gains from extra-EU emissions trading will come at the expense of environmental effectiveness as (more) hot air will be drawn in.      

排污权价格形成机制及其优化分析

构建有效的排污权价格形成与运行机制是排污权交易制度建设的关键环节。本文分析了排污权的初始分配机制以及不同市场条件下排污权交易的价格形成机制。在完全竞争市场条件下,排污权的市场价格等于各企业的边际治理成本。经济增长、污染治理技术进步、政府环境目标以及预期因素等将对排污权价格变动产生影响。在不完全竞争条件下,市场势力和交易费用的存在降低了排污权价格机制的效率。文章最后提出了优化排污权价格形成和运行机制的政策建议。     

Emissions Trading and Profitability: The Swedish Pulp and Paper Industry

The purpose of this paper is to develop models with and without potential emissions trading and to compare industry profits under the two regimes. The model in which emissions trading is permitted is a nonparametric industry frontier model in the spirit of Färe et al. (1992). It is relative to this model that industry profit is computed. This profit is compared to the profit without emissions trading to give an estimate of the potential gains that can be realised by allowing for emissions trading. The model, which is applied to data for the Swedish pulp and paper industry, suggests that this industry would have had up to 6% (1%) higher profits in 1989 (1990) if emissions trading had been used instead of individual permits to achieve the same total emissions target. Currently there is no permit trading in this industry so our results only model the potential gains that can be made.     

The Impact of the EU ETS on Prices,Profits and Emissions in the Power Sector: Simulation Results with the COMPETES EU20 Model

This paper analyses the impact of the EU Emissions Trading Scheme (ETS) on electricity prices, in particular on wholesale power markets across the EU. To study this impact, this paper discusses the major results of a bottom-up modelling analysis of the implications of emissions trading for the performance of the wholesale power market in 20 European countries. The analyses show that a significant part of the costs of (freely allocated) CO₂ emission allowances is passed through to power prices, resulting in higher electricity prices for consumers and additional (‘windfall’) profits for power producers, even in cases of full auctioning. In addition, they show that the ETS-induced increases in power prices depend not only on the level of CO₂ prices but also on the structure of the power market, i.e., the incidence of market power, and the price responsiveness of power demand. Finally, the analyses show that the internalization and pass-through of carbon costs are crucial elements in a policy regime to reduce CO₂ emissions by both changing the mix of power generation technologies and lowering total electricity demand.     

Abuse of EU Emissions Trading for Tacit Collusion

In this paper, we show that loopholes in EU emissions trading law foster tacit collusion that impacts oligopolistic product markets. The abuses originate from the covert misuse of EU emissions trading institutions, such as pooling or project-based mechanisms. We analyse two types of these loopholes by means of game theoretical methods to show how oligopolistic firms establish output restrictions, even if those firms are price takers on the~permit market (which might actually be the case for the majority of obligated firms in the EU). The identified misuse of emissions trading law increases firms’ profits, decreases the consumers’ surplus and has negative effects on social welfare for specified parameter ranges. Consequently, public authorities should not allow emissions trading’s overall good reputation—based upon its efficient abatement of pollution—to blind them to options in European emissions trading legislation that would eventually restrict competition.      

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.     

The Brave New World of Carbon Trading

Human-induced climate change has become a prominent political issue, at both national and international levels, leading to the search for regulatory ‘solutions’. Emissions trading has risen in popularity to become the most broadly favoured government strategy. Carbon permits have then quickly been developed as a serious financial instrument in markets turning over billions of dollars a year. In this article, I show how the reality of permit market operation is far removed from the assumptions of economic theory and the promise of saving resources by efficiently allocating emission reductions. The pervasiveness of Greenhouse Gas emissions, strong uncertainty and complexity combine to prevent economists from substantiating their theoretical claims of cost-effectiveness. Corporate power is shown to be a major force affecting emissions market operation and design. The potential for manipulation to achieve financial gain, while showing little regard for environmental or social consequences, is evident as markets have extended internationally and via trading offsets. At the individual level, there is the potential for emissions trading to have undesirable ethical and psychological impacts and to crowd out voluntary actions. I conclude that the focus on such markets is creating a distraction from the need for changing human behaviour, institutions and infrastructure.     

Exploiting volatility movements in the Sydney futures exchange's bank bill contract

An appropriate stochastic model was fitted to one year of data on the implied volatility of options on 90 day bank accepted bill futures contracts traded in the Sydney Futures Exchange. The model used was ARIMA augmented with day of the week variables, an option time to maturity variable, and recent values of historic volatility. The high ex-post predictive accuracy of the model was then employed as the central element of a strategy of buy low/sell high volatility.We employed two trading schemes with suitably constructed Delta neutral portfolios comprising bill futures and call and put options on those futures over a period of six months, to test whether speculative trading profit could be earned. The existence of trading profits before transaction costs validated the potential of the buy low/sell high volatility strategies to generate speculative profits. The absence of any such trading profits after transaction costs however, showed that the market pricing of these securities is such that the dependencies within implied volatility cannot be profitably exploited.This result may be interpreted as evidence supporting an hypothesis of a semi-strong form of market efficiency.     

Emissions Trading Mode in America and China and Its Future

The emissions trading is a kind of sustainable development measures that is based on market mechanism, and its growing is closely connected with the market development level. The level of American emissions permits market is relatively high, and also predicts the prospect of professional bourse pattern. Most of emissions permits transactions in China are organized by government environment authority, which make it lack of market function. Emissions permits is a kind of property rights. It is important and profitable, while the emissions trading market obviously possesses the two-class of original allocation and second-time transfer. But there are some decisive differences between emissions permits and ordinary transaction object, so the specialized bourse for emissions trading should be built.     

Noise traders,firm-specific uncertainty and technical trading effectiveness

This is the first study to document evidence of technical trading effectiveness at firm level in the Chinese A-share market by investigating the relationship between excess profits of technical trading rules and firm-specific characteristics. Our results reveal that firms with higher excess profits from technical trading have more noise traders and higher institutional ownership and that those firms tend to be growth firms with lower liquidity and higher firm-specific uncertainty. Further analysis shows that the profitability of technical trading rules is unsustainable and the excess profits of the highest technical trading profit quintile portfolio disappear in the following year.     

Simultaneity,Forecasting and Profits in London Copper Futures

Previous research on price determination for non‐ferrous metals at the London Metal Exchange (LME) suffers from three limitations: first it has employed single equation methods only, which cannot explain the simultaneous determination of spot and futures prices; second, by focusing on current and lagged prices, previous research does not analyse the effect on price determination of critical variables such as expectations, consumption and inventories; third, the outcome of prior research regarding market efficiency is ambiguous. This paper, which addresses these issues, develops a simultaneous model of the copper market at the LME, with representation of the activities of hedgers, speculators and consumers. This model produces post‐sample forecasts of the spot price which outperform conventional benchmarks, thus providing evidence against the efficient market hypothesis. Model‐derived forecasts are employed as the foundation of a trading program which produces risk‐adjusted profits (net of commission costs) for holding periods of one week and one month, thus fulfilling the ‘sufficient condition’ for market inefficiency. This study, therefore, provides new insights into price determination on the LME copper market, and resolves the ambiguity of previous research regarding the efficiency of that market. This is the first application of the model forecasting approach to the question of performance of the market for copper.