Pipeline congestion and basis differentials

In the U.S., natural gas pipeline transport has undergone a wave of deregulatory actions over the past several decades. The underlying motive has been the presumption that removing regulatory frictions would facilitate spot price arbitrage, helping to integrate prices across geographic locations and improve efficiency. Yet certain frictions, specifically the effect of congestion on transportation costs, inhibit positive deregulatory impacts on efficiency. With the increase in domestic production and consumption of natural gas over the coming decades, upward pressure on the demand for transport will likely result in an increased occurrence of persistently congested pipeline routes. In this paper we explore the relationship between congestion and spot prices using a simple network model, paying particular attention to the influence of storage. We find that as congestion between two hubs increases, the scarcity value of transmission capacity rises, driving a wedge between spot prices. We empirically quantify this effect over a specific pipeline route in the Rocky Mountain region that closely resembles our structural design. Although our results paint a stark picture of the impact that congestion can have on efficiency, we also find evidence that the availability of storage mitigates the price effects of congestion through the intertemporal substitution of transmission services.     

Spot and forward markets for natural gas: The effects of state regulation

Since the emergence of a spot market in natural gas in 1984, state regulators have been concerned that regulated utilities would fail to choose between contracts and spot purchases in a way that minimizes costs. Grounds for this concern are shown, under two alternative rate structures, in a model where regulation produces ex post profit and loss restrictions. Two policy resolutions to the problem are suggested, one that uses an alternative mechanism for triggering rate reviews, allowing the substitution of ex ante for ex post profit and loss restrictions, and one that exploits the special structure of gas markets within the context of traditional regulatory practice.     

股指期货对现货市场的信息传递效应分析

本文研究了股票指数合约的交易对现货市场的影响以及股指期货是否有助于现货市场在信息传递速度与效率方面的提升.利用了GARCH模型,修正GARCH模型,TGARCH模型及极端值模型,通过对香港恒生H股指期货合约引入前后样本的实证分析发现,在期货合约未上市前,波动性干扰反应在时间上的持续性效果较持久.反之,在股价指数期货合约推出后,可以观察到波动性干扰因子的影响会更快速的反应到经济体系中,显示此时的波动过程更趋稳定.由此推论出期货交易的进行加速了信息传递的效率.亦即开放期货合约的交易,对于其标的现货市场的信息传递以及市场波动性,皆具有正面的贡献.     

Price Dynamics in a Network of Decentralized Power Markets

In this paper, we model the dynamic behavior of prices in a network of interconnected, but decentralized, electric power markets—an architecture very different from the centralized exchanges and power pools currently being implemented by many state regulators. We estimate dynamic equations of unregulated, wholesale power prices at spot markets scattered over an eleven-state trading region. The results indicate that this decentralized system of power and transmission trading produces prices that are efficient and dynamically stable over this vast network. Price convergence in the power market is similar to what has been observed in the recently deregulated natural gas market.     

Are natural gas spot and futures prices predictable?

We answer two questions concerning natural gas spot and futures prices. The first is: Can natural gas futures prices predict natural gas spot prices? The second is: Are natural gas spot and futures prices weak form efficient or can they be predicted based on examination of historical data? To answer these questions, we use daily data for Henry Hub natural gas spot and futures prices. Our answer to the first question is that natural gas futures prices do not predict the magnitude of future natural gas spot prices any better than what would be predicted by a random walk model. This result has important implications for many financial analysts and policy institutions that have used commodity futures prices to predict movements in spot prices. The answer to the second question is that when we apply a unit root test that allows for heteroskedasticity and two structural breaks, natural gas spot and futures prices are predictable. We then simulate a contrarian trading strategy for spot and futures prices to show under what circumstances trading in spot and futures prices are also profitable. The results point to the need to accommodate heteroskedasticity when applying unit root tests to model energy spot and futures prices with high-frequency data, such as daily data.     

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.     

Strategic noise traders and liquidity pressure with a physically deliverable futures contract

Do physically deliverable futures contracts induce liquidity pressure in the underlying spot market? The answer is believed to be no since the asset is delivered sometimes after the expiration of the contract so that the futures trader's payoff does not clearly depend on the price of the underlying stock at expiration. We construct a rational expectations equilibrium model in which a strategic uninformed trader induces liquidity pressure in the underlying spot market at the expiration of a physically deliverable futures contract. Liquidity pressure is the result of a pure informational advantage: if it is known that futures traders hedge their position in the spot market then a strategic trader with no information about the fundamental value of the underlying has an incentive to create noise in the futures market in order to gain information on the composition of the spot order flow at future auctions. We show that informed traders benefit from this form of strategic noise and that the efficiency of the prices remains unaffected.     

Testing the hypothesis of market efficiency in the Taiwan-US forward exchange market since 1990

This article examines the applicability of the hypothesis of market efficiency in Taiwan's foreign exchange market using daily data. Instead of linear regression-based models, we consider the possibility that the true data generating process may come from two different distributions, and we employ the Markov Switching approach to analyse this. From the results of the two-state Markov Switching model, we define State 1 as the efficient state and State 2 as the inefficient one. Only the 30-day forward rate is able to differentiate between the two states. Based on the unconditional probabilities from the Markov switching model, we also find that the 30-day forward rate has a 70% probability in the efficient state, which indicates that 70% of all speculators fully extract information when predicting future spot rates, while 30% of all investors do not.     

Conservative traders,natural selection and market efficiency

This paper examines the impact of conservative traders on market efficiency in an evolutionary model of a commodity futures market. This paper shows that the long-run market outcome is informationally efficient, as long as in every period there is a positive probability that entering traders are more conservative than their predecessors. Conservative traders are those who correctly predict the spot price with a positive probability, and more importantly, who in their mistakes err on the side of caution, and rarely overpredict the spot price as buyers, and underpredict the spot price as sellers. This result does not require entry of traders with better information than their predecessors.     

Pricing flexibility under rate-of-return regulation: Effects on network infrastructure investment

When a commodity market relies upon a regulated network service industry—e.g., telecommunications, electricity, or natural gas transmission—economic efficiency in that commodity market is a crucial consideration for regulatory design. This is because insufficient infrastructure investment relative to network demand results in congestion. The extraction of associated rents has distortionary effects on commodity spot market prices. Greater regulatory flexibility in network pricing can alleviate such issues by cultivating the incentives needed for stakeholders to invest in transmission capacity. To illustrate this effect I derive and numerically solve stylized optimality conditions for access and usage prices for a gas pipeline operator under alternative regulatory models. My results have general implications for regulation in network infrastructure industries, as energy and telecommunications markets are expected to expand considerably over the coming decades.     

异质信念、投机均衡与农产品期货定价*

农产品期货市场套利并不充分,交易者也不是完全理性的。本文假设农产品期货市场有限套利、交易者异质信念并遵循“经验法则”预期,构建了农产品期货投机均衡定价模型,并认为集中竞价规则下产生的农产品期货价格是由交易者的预期决定的;前期期货价格水平、现货价格和前期期货价格的变动趋势、不同类型交易者的比例结构及其预期模式共同影响农产品期货价格的形成与波动;基本分析法交易者占主导地位的农产品期货市场具有更高的套期保值与价格发现效率。针对中国七种主要农产品期货的实证结果显示,农产品期货投机均衡定价模型对解释中国农产品期货价格的形成与波动是有效的。这意味着在期货行情系统中实时披露现货价格信息,培育和引导交易者运用基本分析法预测期货价格走势,有助于提升农产品期货市场的效率。     

Social interaction and economic organization: Toward an integrative microeconomic model

In the context of increasingly complex economies, with information more and more complicated to handle, social interaction may allow spontaneous co-operation and be more efficient than market or state regulations to overcome co-ordination and information problems. This article provides a theoretical model that compares three “pure forms” of economic organization: state-controlled production, unregulated market, and voluntary organization. We model the behavior of agents who are embedded in a social structure that is characterized by three parameters: the intensity of socialization, the size of individual social space, and the overall level of trust in society. We then study how social interaction parameters influence the relative efficiency of the three different forms of organization.     

基于波动效应与价格发现的期指仿真交易研究

采用修正的GARCH模型和向量误差修正模型（VEC）将股指期货推出后现货市场波动性的变化和股指期货与现货市场的价格发现功能结合起来进行对比研究发现,期指仿真交易的推出对于现货市场效率的改进确实存在正面的影响。其引入在短期内加大了现货市场的波动,但这一波动正是市场信息流动加速的反映,因而提高了市场信息的传递效率。研究同时也表明,期货价格领先于现货价格,存在由期货市场到现货市场长期的单向因果关系,说明期货价格具有引导现货价格向均衡方向调整的功能,从而在经验上支持了股指期货市场的开放政策。     

Determinants of the premium in forward contracts

Whilst the benefits of forward contracting for goods and services have been extensively researched in terms of mitigating market power effects in spot markets, we analyse how the risk in spot price formation induces a counteracting premium in the contract prices. We consider and test a wide-ranging set of propositions, involving fundamental, behavioural, dynamic, market conduct and shock components, on a long data set from the most liquid of European electricity forward markets, the EEX. We show that part of what is conventionally regarded as the market price of risk in electricity is actually that of its underlying fuel commodity, gas; that market power has a double effect on prices, insofar as it increases spot prices and induces a forward premium; that oil price sentiment spills over and that the premium reacts to scarcity and the higher moments of spot price uncertainty. We observe that considerations of the scale and determinants of the forward premium are at least as important as the market power effects in spot market price formation when evaluating the efficiency of wholesale power trading.     

THE LEAD–LAG RELATION BETWEEN THE S&P500 SPOT AND FUTURES MARKETS: AN INTRADAY-DATA ANALYSIS USING A THRESHOLD REGRESSION MODEL

In this paper we examine the lead–lag interaction between the futures and spot markets of the S&P500 using the threshold regression model on intraday data. The use of threshold variables to model the changes in the regression structure with respect to different market conditions enables us to investigate the lead–lag interaction in a data-based approach and avoid stratifying the data arbitrarily. Using the basis as the threshold variable, we find that the short-selling restrictions in the spot market reduce the effect of the spot index as the leading variable. To study the effect of market-wide information on the interaction between the spot and futures markets, we use the coefficient of determination in the regression of the S&P500 on the Morgan–Stanley Composite Index-US and the Major Market Index as the threshold variable. We find that the lead effect of the futures market over the spot market is stronger when there is more market-wide information. On the other hand, the lead effect of the cash market over the futures market is weaker when there is more market-wide information. In addition, we also use the lagged 45-min return of the spot market as the threshold variable. We find that the lead effect of the spot market is stronger in periods of directionless trading than in periods of good or bad markets.     

沪深300指数期货与现货的相互引导关系研究

沪深300指数期货是中国证券市场上目前唯一的一款股指期货产品,通过Granger因果检验、向量误差修正模型、脉冲响应与方差分解等计量方法对其日交易数据的实证研究表明:沪深300指数期货、现货市场价格是协整的,且二者存在双向引导关系;沪深300指数期货市场对长期均衡偏离的调整力度更强,调整速度更快,对信息反应的效率更高,但在短期波动影响中,指数期货、现货市场总方差中来自期货市场的平均贡献为47.52%,来自现货市场的平均贡献为52.48%,指数现货市场对新信息融入的贡献度更高,其冲击对期货、现货市场的影响也更强烈、更持久。     

How does entry regulation influence entry into self‐employment and occupational mobility?1

We analyse how an entry regulation that imposes a mandatory educational standard affects entry into self‐employment and occupational mobility. We exploit German reunification as a natural experiment and identify regulatory effects by comparing differences between regulated and unregulated occupations in East Germany with the corresponding differences in West Germany after reunification. Consistent with our expectations, we find that entry regulation reduces entry into self‐employment and occupational mobility after reunification more in regulated occupations in East Germany than in West Germany. Our findings are relevant for transition or emerging economies as well as for mature market economies requiring large structural changes after unforeseen economic shocks.     

What ever happened to Germany? Is the decline of the former european key currency country caused by structural sclerosis or by macroeconomic mismanagement?

This paper challenges the institutional sclerosis view of the German crisis according to which rigid labour markets and generous welfare state institutions have driven Germany into its position as ‘Europe's sick man’. In general, the view is not convincing, because the underlying hypotheses about the effects of labour market regulation and welfare state institutions on employment and growth cannot unambiguously be derived from modern labour market theory and are at least partially at odds with accepted empirical findings. In particular, the explanation is unconvincing, because in international comparison Germany's labour market and welfare state institutions are simply not as sclerotic as often supposed. In most of the aggregate indicators for structural rigidities Germany is not worse than the average OECD or EU country. Moreover, there is a macroeconomic explanation focusing on the combined effects of restrictive and pro‐cyclical monetary, fiscal and wage policies in Germany that is broadly consistent with modern macroeconomic theory and is supported by empirical data.     

Equilibria in incomplete assets economies with infinite dimensional spot markets

The paper studies the two period incomplete markets model where assets are claims on state contingent commodity bundles and there are no bounds on portfolio trading. The important results on the existence of equilibrium in this model assume that there is a finite number of commodities traded in each spot market and that preferences are given by smooth utility functions. With these assumptions an equilibrium exists outside an “exceptional” set of assets structures and initial endowments. The present paper extends these results by allowing for general infinite dimensional commodity spaces in each spot market. These include all the important commodity spaces studied in the literature on the existence of Walrasian equilibrium—in each spot market the consumption sets are the positive cone of an arbitrary locally solid Riesz space or of an ordered topological vector space with order unit or of a locally solid Riesz space with quasi-interior point. The paper establishes that even with our very general commodity spaces there exists an equilibrium for a “very” dense set of assets structures. Our approach is in the main convex analytic and the results do not require that preferences be smooth or complete or transitive. The concepts and techniques studied in this paper have important finite as well as infinite dimensional applications. This paper has benefited from the comments of Martine Quinzii, Wayne Shafer, Manuel Santos and Yeneng Sun. The research of C. D. Aliprantis is supported by the NSF Grants SES-0128039, DMS-0437210, and ACI-0325846. The research of R. Tourky is funded by the Australian Research Council Grant A00103450.     

碳排放权交易市场的信息流动关系——基于EUA市场和CER市场的实证研究

基于Granger因果关系检验方法和MGARCH-BEKK模型,从报酬溢出和波动溢出的角度,研究国际碳排放权交易市场中的主要商品———EUAs和sCERs各自的期货价格与现货价格之间以及两者的期货价格之间的信息流动关系。结果表明:两个市场的现货市场始终都处于价格信息中心,期货市场的价格发现功能较弱甚至未体现;信息波动溢出方面,EUA市场中期货市场处于波动信息中心,而CER市场中现货市场处于波动信息中心;EUA的期货市场与CER的期货市场之间存在相互的价格溢出效应与波动溢出效应,但EUA市场的期货价格对CER市场具有更大的波动溢出效应。