Do German renewable energy resources affect prices and mitigate market power in the French electricity market ?

Several empirical studies show that renewable energy sources such as wind and solar power, typically supplied at low marginal cost, can cause electricity market prices to fall. Recent theoretical research and simulations also highlight the link between the integration of renewable energy and market performance in an oligopolistic energy market. This article looks at these dynamics in the context of cross-border effects between two highly interconnected electricity markets, France and Germany. Using a rich panel dataset for hourly data from November 2009 to July 2015, I estimate the impact of German wind and solar power production on both prices and market power in the French wholesale market. The findings highlight the importance of coordinating energy policies via joint renewable energy support schemes among interconnected European electricity markets.     

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.     

Competition and price asymmetries in the Greek oil sector: an empirical analysis on gasoline market

This article attempts to investigate the issue of asymmetries in the transmission of shocks to input prices and exchange rate onto the wholesale and retail price of gasoline respectively. For this purpose, we utilise the error-correction methodology in the Greek gasoline market. The sample consists of monthly data covering the period of January 1988 to June 2006. We also try to analyse by using impulse response functions the effect of competition on the dynamic adjustment of gasoline price to which has been paid scant attention in the past. The results favour the common perception that retail gasoline prices respond asymmetrically to cost increases and decreases both in the long and the short-run. At the wholesale segment, there is a symmetric response of the spot prices of gasoline towards the adjustment to the short-run responses of the exchange rate. Lastly, after the deregulation, wholesale prices of gasoline tend to gradually restore equilibrium triggered by a price shock compared to the regulated period.     

Strategic decisions on bilateral bidding behavior: evidence from a wholesale electricity market

This article analyzes the strategic bilateral bidding behavior in the Spanish electricity wholesale market (OMEL). The collection of data includes information regarding weekly averages of spot prices, the quantity bid in the wholesale market, the quantities purchased in the wholesale market and sold in the open market, and the behavior of conduct parameters for the period from January 2002 to April 2007 for the four largest firms of the Spanish electricity market: Endesa, Iberdrola, Unión Fenosa and Hidrocantábrico. This article employs the New Empirical Industrial Organization approach. The empirical analysis was based on the autoregressive distributed lag approach to cointegration and on the Toda–Yamamoto Granger causality tests to validate the standard version of the theoretical formulation of the standard Cournot model, and its theoretical extension, to encompass the hypothesis of the presence of bid interdependence for electricity quantities sold and bought in the Spanish electricity wholesale market. The results of cointegration and causality analysis reinforce the empirical results of the extended Cournot model with the inclusion of the two main bidding variables that solved the optimization problem of profit maximization for each of the four firms analyzed.     

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.     

OPTIONAL REAL-TIME PRICING OF ELECTRICITY FOR INDUSTRIAL FIRMS

Abstract. This paper proposes a pricing mechanism, optional real-time pricing (RTP), with day-ahead hourly prices, that exploits the potential offered by a competitive wholesale power market. When an electric utility offers the option to its industrial customers, the retail prices are based on an existing Hopkinson tariff and expectations as to the wholesale market's next-day hourly spot prices. The proposed RTP mechanism is Pareto-superior to the tariff in that it assures both the utility and the customer of profits that will be at least as great as under the tariff.     

Analysis of electricity prices for Central American countries using dynamic conditional score models

In this paper, we compare the performance of dynamic conditional score (DCS) and standard financial time-series models for Central American energy prices. We extend the Student’s t and the exponential generalised beta distribution of the second kind stochastic location and stochastic seasonal DCS models. We consider the generalised t distribution as an alternative for the error term and also consider dynamic specifications of volatility. We use a unique dataset of spot electricity prices for El Salvador, Guatemala and Panama. We consider two data windows for each country, which are defined with respect to the liberalisation and development process of the energy market in Central America. We study the identification of a wide range of DCS specifications, likelihood-based model performance, time-series components of energy prices, maximum likelihood parameter estimates, the discounting property of conditional score, and out-of-sample forecast performance. Our main results are the following. (i) We determine the most robust models of energy prices, with respect to parameter identification, from a wide range of DCS specifications. (ii) For most of the cases, the in-sample statistical performance of DCS is superior to that of the standard model. (iii) For El Salvador and Panama, the standard model provides better point forecasts than DCS, and for Guatemala the point forecast precision of standard and DCS models does not differ significantly. (iv) For El Salvador, the standard model provides better density forecasts than DCS, and for Guatemala and Panama, the density forecast precision of standard and DCS models does not differ significantly.     

Political uncertainty,risk of Frexit and European sovereign spreads

Using data from a prediction market (crowd-based forecasts), we build a daily measure capturing the risk of Frexit related to the 2017 French presidential elections. We study how unexpected changes in this new measure of political uncertainty in France affect European sovereign spreads vis-à-vis Germany. We show that our uncertainty proxy drives not only the French sovereign spread but also the spreads of those EU countries deemed the most vulnerable to the risk of desegregation of the Euro Zone. These results suggest that specific political uncertainty affects short-term investor’s expectations and may outweigh other economic determinants of sovereign spreads shortly prior to high stake elections     

Market structure and market performance in E-commerce

We analyze the interaction between market structure and market performance and how it varies over the product cycle. To account for the potential endogeneity in this relation, we use an instrumental variable approach. We combine data from the largest Austrian online market for price comparisons with retail data on wholesale prices provided by a major hardware producer for consumer electronics. Our results show that instrumenting is important for estimating the empirical effect of competition on the markup of the price leader. One more firm in the market is associated with a reduction of the price leader׳s markup which is equivalent to competition between existing firms for an additional 3 weeks in the product life cycle. Our results support search theoretic models and contradict models of monopolistic competition. Moreover our results support the existence of price dynamics over the product cycle. They also highlight the substitutability between newly innovated and old expiring technologies and how it varies with respect to competitors׳ and own brand innovations.     

An experimental investigation of soft price caps in uniform price auction markets for wholesale electricity

This paper presents the results from an auction experiment using industry professionals and student participants who compete in a simulated wholesale market for electricity. Motivated by the intervention by FERC in response to the “meltdown” of the California spot market, we investigate the effect of including a “soft” price cap in a uniform price auction as a means of mitigating high prices. When prices are driven above the soft cap, offer curves become flat, in contrast to the hockey stick shape observed in a typical uniform price auction for electricity. This flat offer curve leads to market prices that are relatively insensitive to both generation costs and demand reductions.      

Response of industrial customers to hourly pricing in Ontario’s deregulated electricity market

This paper uses hourly data from Ontario (Canada) between 2005 and 2008 to estimate the effects of real time wholesale electricity prices on demand by industrial customers. Nonlinear SUR estimates from Generalized Leontief (GL) specifications reveal elasticities of substitution from 0.02 to 0.07, confirming that industrial customers (connected to the transmission grid) shift consumption across peak and off-peak periods in order to reap benefits of lower prices. Estimates from FGLS and IV models suggest that this reduction in demand by industrial customers results in lower wholesale prices, which benefits all consumers. The policy lesson is that market based schemes that encourage Real Time Pricing (RTP) pricing should result in positive spillovers to all consumers.     

Electricity pool prices: a case study in nonlinear time-series modelling

This paper considers modelling the behaviour of prices in the English and Welsh wholesale electricity Pool since the creation of this spot market in 1990. The process turns out to be nonlinear and a logistic smooth transition autoregressive model is fitted and shown to be superior to a linear alternative. The behaviour of the estimated model is discussed, and it is seen that nonlinearity is needed to describe the institutional characteristics and historical path of pool prices.     

期货市场与现货市场之间的价格研究--中国农产品市场的经验

本文借助于信息共享模型与波动溢出效应模型对我国大豆和小麦的期、现货市场之间的价格发现进行了多层次的实证研究,定量描述了期、现货市场在价格发现中作用的大小,深入刻画了我国农产品期、现货市场之间的动态关系.研究结果显示:大豆期、现货价格之间存在双向引导关系,小麦仅存在期货对现货的单向引导关系;期、现货市场均扮演着重要的价格发现角色,且期货市场在价格发现中处于主导地位;期、现货市场之间均存在双向波动溢出关系,但现货市场来自期货市场的波动溢出效应均强于期货市场来自现货市场的波动溢出效应;并且,随着期货市场的发展,期、现货市场之间的波动溢出程度均呈逐渐增强态势.     

Monitoring and forecasting annual public deficit every month: the case of France

In this paper we forecast annual budget deficits using monthly information. Using French monthly data on central government revenues and expenditures, the method we propose consists of: (1) estimating monthly ARIMA models for all items of central government revenues and expenditures; (2) inferring the annual ARIMA models from the monthly models; (3) using the inferred annual ARIMA models to perform one-step-ahead forecasts for each item; (4) compounding the annual forecasts of all revenues and expenditures to obtain an annual budget deficit forecast. The major empirical benefit of this technique is that as soon as new monthly data become available, annual deficit forecasts are updated. This allows us to detect in advance possible slippages in central government finances. For years 2002–2004, forecasts obtained following the proposed approach are compared with a benchmark method and with official predictions published by the French government. An evaluation of their relative performance is provided.      

Information and transparency in wholesale electricity markets: evidence from Alberta

We examine the role of information transparency in Alberta’s wholesale electricity market. Using data on firms’ bidding behavior, we analyze whether firms utilize information revealed in near real-time through the Historical Trading Report (HTR), which is released 10 min after each hour and contains a complete (de-identified) list of every firms’ bids into the wholesale market from the previous hour. We demonstrate that firms are often able to identify the offers of specific rivals by offer patterns adopted by those firms. For one of these firms, these patterns are associated with higher offer prices. This is consistent with allegations by Alberta’s Market Surveillance Administrator that firms may be utilizing unique bidding patterns to reveal their identities to their rivals to elevate market prices. We show that certain firms respond to rival offer changes with a lag consistent with responding to information revealed through the HTR, and that they respond differently to different firms, suggesting that they are able to infer identification.     

German Exports to the Euro Area

This paper analyzes the determinants of German exports to the euro area, which is the biggest market for German products. Three conditional error-correction models based on regionally disaggregated data are developed. One specification includes EMU industrial production and a real external value based on consumer prices, the other two use different EMU investment aggregates, the orresponding real external values and a proxy for European market integration to explain exports. The models perform equally well in a number of diagnostic tests. For short-term forecasts, however, the model using industrial production seems to be the best, since it outperforms the other models in terms of one-step ahead out-of-sample forecasts.An earlier version of this paper was presented at the annual 2002 congress of the Verein für Socialpolitik.     

Vertical separation with location–price competition

While the literature has generally found that vertical separation helps buffer competition and harm consumers in a duopolistic market, we find the exact opposite. To induce the retailers to locate closer to consumers and earn a larger market share, the manufacturers set wholesale prices below marginal cost. This market share effect dominates the previously focused coordination effect under which a higher wholesale price helps coordinate the retailers’ pricing decisions. For each manufacturer, vertical separation is a dominant strategy so the endogenous determination of vertical separation versus vertical integration is a prisoner’s dilemma game.     

我国粮食市场价格波动特征——基于ARCH类模型的实证分析

基于1998年1月9日至2012年12月14日全国小麦、玉米和大豆的批发价格指数周数据,利用ARCH类模型对我国小麦、玉米和大豆的市场价格波动特征进行实证分析。研究结果表明:在5%的显著性水平下,小麦、玉米和大豆的市场价格波动具有明显的时变性和集簇性;玉米市场具有高风险、高回报的特征;小麦的市场价格波动具有非对称性;玉米市场与大豆市场之间存在显著的双向价格波动溢出效应。     

Intraday return and volatility relationships between the Ibex 35 spot and futures markets

This paper analyses the intraday lead-lag relationships between returns and volatilities in the Ibex 35 spot and futures markets. Using hourly data, we jointly analyze the interactions between markets, estimating a bivariate error correction model with GARCH perturbations which captures stochastically the presence of an intraday U-shaped curve for both spot and futures market volatility. Our findings show a bidirectional causal relationship between market volatilities, with a positive feedback. This two-way transmission of volatility is consistent with market prices evolving according to a long-run equilibrium relationship, and shocks affecting both markets in the same direction. Our empirical results also support a unidirectional cross interaction from futures to spot market returns. This pattern suggests that the futures market leads the spot market in order to incorporate the arrival of new information.     

Futures markets,private storage,and price stabilization

This paper considers several issues pertaining to the role of an efficient futures market for price stabilization. The main aspect which is emphasized is the provision of information by such a market. It provides efficient forecasts which facilitates both production and storage decisions, as a result of which the stability of spot prices is generally increased. The allocation of the benefits from a futures market to the various groups in the economy is discussed andthe present results related to those of the more traditional buffer stock literature. Finally, the degree of stability provided by a futures market is compared with that obtained by active market intervention by a stabilization authority.