a generalized schwartz model for energy spot prices estimation using a particle mcmc method we propose an energy spot price model featuring a two factor price process and a two component stochastic volatility process the first factor in the price process captures the normal variations the second accounts for spikes the two component volatility allows for a flexible autocorrelation structure instead of using various filtering techniques for splitting the two factors as often found in the literature we estimate the model in one step using an adaptive mcmc method with a rao blackwellized particle filter we fit the model to uk natural gas spot prices and investigate the importance of spikes and stochastic volatility we find that the inclusion of stochastic volatility is crucial and that it strongly impacts the jump intensity in the spike process furthermore our estimation method enables us to consider both continuous and purely jump driven volatility processes and thereby assess if the volatility specification also influences the spike process and the overall model fit

impact of the carbon price on the integrating european electricity market we study the impact of the carbon price on the integrating electricity market in the eu our theoretical framework suggests that the price of carbon has a positive but uneven impact on electricity prices depending on the marginal production plant the carbon price may increase price differences in the short run we apply time series analysis on daily forward data from 2003 to 2011 and investigate whether we can find empirical evidence for our analytical findings our results support the hypotheses that integration in electricity prices has increased over time and that the carbon price has a positive but uneven impact on the integration of prices

time varying convergence in european electricity spot markets and their association with carbon and fuel prices abstract long run dynamics of electricity prices are expected to reflect fuel price developments since fuels generally account for a large share in the cost of generation as an integrated european market for electricity develops wholesale electricity prices should be converging as a result of market coupling and increased interconnectivity electricity mixes are also changing spurred by a drive to significantly increase the share of renewables consequently the electricity wholesale price dynamics are evolving and the fuel electricity price nexus that has been described in the literature is likely to reflect this evolution this study investigates associations between spot prices from the british french and nordpool markets with those in connected electricity markets and fuel input prices from december 2005 to october 2013 in order to assess the time varying dynamics of electricity spot price series localized autocorrelation functions are used electricity spot prices in the three markets are found to have stationary and non stationary periods when a trend in spot prices is observed it is likely to reflect the trend in fuel prices cointegration analysis is then used to assess co movement between electricity spot prices and fuel inputs to generation the results show that british electricity spot prices are associated with fuel prices and not with price developments in connected markets while the opposite is observed in the french and nordpool day ahead markets

a portfolio approach to climate investments capm and endogenous risk is there a role for investments in climate change mitigation despite low expected return we use a model of intertemporal expected utility maximisation to analyse this question similar to the capital asset pricing model capm the rate of return depends on the correlation of risk between the return on investments in climate change mitigation and the market portfolio but in contrast to the classical capm we admit the fact that economic and environmental systems are jointly determined implying that environmental risk is endogenous therefore investments in climate change mitigation may reduce risk via self protection and self insurance if risk reduction is accounted for in cost benefit evaluations climate investments may be justified despite low expected return these aspects of climate investments are not however communicated via standard cost benefit analyses of climate policy optimal climate policy may therefore be more ambitious than previously considered

market price behavior of wholesale electricity products texas abstract applying a regression based approach to a newly developed sample of over 60 000 hourly observations for 01 01 2011 12 30 2017 we answer the question what moves the day ahead market dam prices for energy and ancillary services as and the real time market rtm price for energy in the electric reliability council of texas ercot our answer comprises the following findings that capture the interdependence of ercot s energy and as products 1 the dam energy price increases with the day ahead forecasts of natural gas price system load and as requirements but declines with nuclear and wind generation s forecasts 2 the as prices increase with the dam energy price and the as procurement forecasts but decline with the as offer forecasts and 3 the rtm energy price increases with the dam energy price but diverges from the dam energy price due to forecasting errors related to the dam energy price s fundamental drivers these findings imply that texas can reduce the prices for day ahead energy day ahead as and real time energy via wind generation development and demand side management further texas can improve its electricity trading efficiency by improving ercot s forecast accuracy to narrow the rtm energy price s divergence from the dam energy price

the impact of wind power generation on the electricity price in germany abstract this paper investigates the relationship between intermittent wind power generation and electricity price behaviour in germany using a garch model i evaluate the effect of wind electricity generation on the level and the volatility of the electricity price in an integrated approach the results show that variable wind power reduces the price level but increases its volatility this paper s results also indicate that regulatory change has stabilised the wholesale price the electricity price volatility has decreased in germany after a modification of the marketing mechanism of renewable electricity this gives confidence that further adjustments to regulation and policy may foster a better integration of renewables into the power system

combining day ahead forecasts for british electricity prices abstract this paper considers how well the approach of combining forecasts extends to the context of electricity prices with the increasing popularity of regime switching and time varying parameter models for predicting power prices the multi model and evolutionary considerations that usually support the combining of simpler time series methods may be less applicable when the individual models incorporate these features we address this question with a backtesting analysis on british day ahead prices furthermore given the volatility of power prices and concerns about accurate forecasting under extreme price excursions we evaluate the results using various error metrics including expected shortfall the comparisons are furthermore carefully simulated to consider model selection uncertainty in order to realistically test the value of combining as an ex ante policy overall our results support combining for both accurate operational planning and risk management

pricing carbon and adjusting capital to fend off climate catastrophes the optimal reaction to a potential productivity shock as a consequence of climate tipping is to substantially tax carbon in order to curb the risk of tipping but to adjust capital as well in order to smooth consumption when tipping occurs we also allow for conventional marginal climate damages and decompose the optimal carbon tax in two catastrophe components and the conventional component we distinguish constant and increasing marginal hazards moreover the productivity catastrophe is compared with recoverable catastrophes and with a shock to the climate sensitivity finally we allow for investments in adaptation capital as an alternative to counter the potential adverse effects of climate tipping quantitatively the results are investigated with a calibrated model for the world economy

electricity derivatives pricing with forward looking information in order to increase overall transparency on key operational information power transmission system operators publish an increasing amount of fundamental data including forecasts of electricity demand and available capacity we employ a fundamental model for electricity prices which lends itself well to integrating such forecasts while retaining ease of implementation and tractability to allow for analytic derivatives pricing formulae in an extensive futures pricing study the pricing performance of our model is shown to further improve based on the inclusion of electricity demand and capacity forecasts thus confirming the general importance of forward looking information for electricity derivatives pricing however we also find that the usefulness of integrating forecast data into the pricing approach is primarily limited to those periods during which electricity prices are highly sensitive to demand or available capacity whereas the impact is less visible when fuel prices are the primary underlying driver to prices instead

fitting semiparametric markov regime switching models to electricity spot prices abstract recently regime switching models have become the standard tool for modeling electricity prices these models capture the main properties of electricity spot prices well but estimation of the model parameters requires computer intensive methods moreover the distribution of the price spikes must be fully specified although the high volatility of the spikes makes it difficult to check such distributional assumptions consequently there are a number of competing proposals for the distribution in the spike regime as an alternative we propose a semiparametric markov regime switching model that leaves the distribution under the spike regime unspecified we show that the model parameters can be estimated by employing robust statistical techniques this presents an alternative to the existing estimation methods that are based on computer intensive numerical maximization of the likelihood function the model in combination with the estimation framework is easier to estimate needs less computation time and distributional assumptions to show its advantages we compare the proposed model with a well established markov regime switching model in a simulation study furthermore we apply the model to log prices for the australian electricity market the results are in accordance with the results from the simulation study indicating that the proposed model might be advantageous whenever the distribution of the spike process is not sufficiently known the results are thus encouraging and suggest the use of our approach when modeling electricity prices and pricing derivatives

the influence of temperature on spike probability in day ahead power prices it is well known that day ahead prices in power markets exhibit spikes and time varying volatility spikes and extremely high volatility are the results of short term frictions in demand and or supply conditions it is known that information on load or the reserve margin help to forecast spikes however these variables are not timely available for every market participant and this paper suggests to use temperature as a proxy interpreting the results from several switching regimes models the paper shows that the probability of spike occurrence increases when temperature deviates substantially from mean temperature levels

scientific basis for the greenhouse effect the international community may reach agreement to limit carbon emissions as early as i 992 when brazil will host a negotiating convention on climate change europe and japan have already made commitments to place ceilings on future emissions at or below present rates because the cost of switching to alternative fuels could be high with profound implications for long term economic growth especially in developing countries policy action must be based on the view that the science of the greenhouse effect is compelling this essay considers the scientific logic and evidence for the effect from the viewpoint of an economist it draws heavily on the findings of the intergovernmental panel on climate change ipcc i will stress that both the science and the policy discussion so far including by ipcc have focused insufficiently on effects in the very long term on the order of 250 to 300 years

robust estimation and forecasting of the long term seasonal component of electricity spot prices when building stochastic models for electricity spot prices the problem of uttermost importance is the estimation and consequent forecasting of a component to deal with trends and seasonality in the data while the short term seasonal components daily weekly are more regular and less important for valuation of typical power derivatives the l ong term seasonal components ltsc seasonal annual are much more diffi cult to tackle surprisingly in many academic papers dealing with electricity spot price modeling the importance of the seasonal decomposition is neglected and the problem of forecasting it is not considered with this paper we want to fill the gap and present a thorough study on estimation and forecasting of the ltsc of electricity spot prices we consider a battery of models based on fourier or wavelet decomposition combined with linear or exponential decay we find that all considered wavelet base d models are significantly better in terms of forecasting spot prices up to a year ahead than all considered sine based models this result questions the validity and usefulness of stochastic models of spot electricity prices built on sinusoidal long term seasonal components

risk minimisation in electricity markets fixed price unknown consumption abstract this paper analyses risk management of fixed price unspecified consumption contracts in energy markets we model the joint dynamics of the spot price and the consumption of electricity study expected loss minimisation for different loss measures and derive optimal static hedge strategies based on forward contracts the strategies are implemented empirically and compared to a benchmark strategy widely used by the industry on 2012 2014 nordic market data the suggested hedges significantly outperform the benchmark the realised cumulative profit and losses are greater for almost every single one month period and the hourly realised payoffs result in an approximate 65 out performance probability hedges based on asymmetric loss measures yield markedly higher reward to risk ratios than the benchmark which can be exploited to release a premium from the contract in the financially significant order of 1 5 of the fixed price

price dynamics among u s electricity spot markets combining recent advances in causal flows with time series analysis relationships among 11 u s spot market electricity prices are examined results suggest that the relationships among the markets vary by time frame in contemporaneous time the western markets are separated from the eastern markets and the electricity reliability council of texas at longer time frames these separations disappear even though electricity transmission between the regions is limited it appears the relationships among markets are not only a function of physical assets such as transmissions lines among markets but by similar and dissimilar institutional arrangements among the markets

risk self protection and ex ante economic value abstract we develop three propositions about the ex ante value of reduced risk if there is a continuous outcome distribution and if self protection influences outcome probability and severity then 1 unobservable utility terms cannot be eliminated from the ex ante value expressions 2 knowledge of the convexity or the nonconvexity of dose response functions is insufficient to sign changes in these expressions and 3 self protection expenditures need not be a lower bound measure of these expressions therefore many restrictions applied in recent empirical work on the economic value of risk changes are not immediately transferable to settings where endogenous risks prevail

cointegration analysis of spot electricity prices insights on transmission efficiency in the western us abstract the us energy policy act of 1992 promoted the development of spot markets for electric power by requiring utilities to open their transmission systems to wholesale power sales in this paper we specify and estimate a vector error correction model using peak and off peak electricity spot prices during 1994 1996 covering 11 regional markets in the western united states and test these prices for evidence of market integration the results show evidence of an efficient and stable wholesale power market

intergenerational transfers and the social discount rate this paper investigates the relationship between intergenerational asset transfers and the choice of the discount rate for use in cost benefit analysis in a model of a competitive overlapping generations economy constrained by a socially managed exhaustible resource provided that there are no distortions in capital markets and that all agents hold perfect foresight cost benefit techniques will result in a pareto efficient resource allocation if the discount rate is set equal to the market rate of interest but since the path of the interest rate depends on the level of intergenerational transfers cost benefit techniques do not ensure a socially desirable distribution of welfare between generations a social optimum will result only if intergenerational transfers are properly chosen and enforced decentralized private altruism may result in intergenerational transfers that both present and future individuals would agree are too small if members of the present generation attach positive weight to the general welfare of future generations not simply their personal descendants in a world where intergenerational transfers are non optimal second best policy making may imply a constrained optimum that is inefficient together these findings suggest that cost benefit analysis is at best a partial criterion to policy formulation that should be used only in conjunction with ethical principles that define the proper distribution of welfare between present and future generations

carbon pricing and electricity markets the case of the australian clean energy bill abstract we examine the impact of the clean energy bill on the price behavior of electricity futures contracts in the australian national electricity market first we compute ex ante forward risk premiums in the pre tax period until june 2012 then derive market implied expectations about additional costs of the carbon pricing mechanism cpm on generators as well as pass through rates during the carbon tax july 2012 june 2014 and post tax after july 2014 periods our results suggest that the observed carbon premiums became increasingly higher once the carbon tax had been proposed and subsequently legislated in 2011 during periods where market participants could be relatively certain that the tax would be effective we find expected carbon pass through rates between 67 and 150 which seem to be inversely related to emission intensities in the regional markets our results are also a clear indication of strong policy uncertainty with regards to the cpm and suggest that in the future a stable and long term policy framework would be required for a carbon pricing mechanism to have its full effect

tail hedge discounting and the social cost of carbon the choice of an overall discount rate for climate change investments depends critically on how different components of investment payoffs are discounted at differing rates reflecting their underlying risk characteristics such underlying rates can vary enormously from 1 percent for idiosyncratic diversifiable risk to 7 percent for systematic nondiversifiable risk which risk adjusted rate is chosen can have a huge impact on cost benefit analysis in this expository paper i attempt to set forth in accessible language with a simple linear model what i think are some of the basic issues involved in discounting climate risks the paper introduces a new concept that may be relevant for climate change discounting the degree to which an investment hedges against the bad tail of catastrophic damages by insuring positive expected payoffs even under the worst circumstances the prototype application is calculating the social cost of carbon jel c51 q54 q58

effect of stopping hydroelectric power generation on the dynamics of electricity prices an event study approach abstract supply shocks in electricity markets that disrupt energy production cause unexpected spikes in prices which in turn have economic consequences such as higher risk and therefore higher costs and losses for producers and consumers of electricity one relevant shock in this sector is the halting of hydroelectric power generation due to the freezing of water reservoirs after the temperature drops below zero degrees celsius and therefore less efficient technologies such as thermal plants must begin to produce electricity using an event study approach this shock in the nord pool market is explicitly identified and the economic importance of expanding the interconnected market and the inclusion of more renewable sources in the generation mix of the system to smooth out price spikes is quantified when a freezing event occurs it is found that the average electricity prices increase between 1 and 6 and that the negative relationship between temperature and prices also increases for each degree that the temperature decreases prices increase between 1 and 3 however as expected these changes are more pronounced in countries that are most dependent on hydropower generation by identifying this supply shock relevant insights are presented for market players such as policy makers investors and consumers and producers whose decisions are influenced by the effect of temperature particularly when it causes the stopping of hydroelectric plants

price volatility in niger millet markets price volatility of food staples is one of the most complex factors affecting food security recent food price crises have raised academic interest in improved volatility assessment the widely held assumption in econometric volatility models that long run volatility is constant has been recently questioned and partly blamed for these crises a multiplicative mgarch model recently proposed by bauwens et al is used in this article to model price volatility transmission along the niger millet marketing chain results suggest important volatility links between consumer and producer prices as well as noteworthy differences between short and long run price dynamics

revisiting long run relations in power markets with high res penetration abstract electricity generation from renewable energy resources res has become increasingly significant to reach eu and emissions reduction targets at the same time one of the main eu policy goals has been the creation of a common internal energy market for europe in this paper we focus on these two issues previously studied separately considering their possible interactions we first analyze the long run relationship between day ahead electricity prices and fuel prices natural gas and coal looking at two samples of years characterized by low and high res penetration then we explore the integration of eu markets we show that the electricity fuel nexus found over 2006 2008 changed dramatically over 2010 2014 for the majority of countries considered in particular the long run dependence of electricity from gas and coal prices is much lower in recent years furthermore our results confirm that the considered eu countries are becoming less integrated as res e increases our findings suggest that nationally implemented policies to support renewables are successful in increasing res penetration but they have lessened the linkage among eu markets then making integration more difficult to obtain

heterogeneous price dynamics in u s regional electricity markets abstract the u s electricity wholesale market is organized in several deregulated regional markets this paper compares price dynamics of electricity in the u s wholesale markets and shows that electricity prices from the west and east coasts have different regime dynamics our methodology suggests that electricity prices are better parameterized by four regimes with different levels of volatility additionally west and east coast markets differ in the time spent in each regime the extremely high volatility regime describes west coast prices during the california electricity crisis but east coast prices are also frequent in that regime we find evidence of synchronization of price dynamics in the mean reverting and highest volatility regimes i e prices from the east and west coasts tend to be in the same regimes at the same time

modeling the dependence of conditional correlations on volatility several models have been developed to capture the dynamics of the conditional correlations between time series of financial returns but few studies have investigated the determinants of the correlation dynamics a common opinion is that the market volatility is a major determinant of the correlations we extend some models to capture explicitly the dependence of the correlations on the volatility of the market of interest the models differ in the way by which the volatility influences the correlations which can be transmitted through linear or nonlinear and direct or indirect effects they are applied to different data sets to verify the presence and possible regularity of the volatility impact on correlations

evaluating the market splitting determinants evidence from the iberian spot electricity prices abstract this paper aims to assess the main determinants on the market splitting behaviour of the iberian electricity spot markets iberia stands as an ideal case study where the high level deployment of wind power is observed together with the implementation of the market splitting arrangement between the portuguese and the spanish spot electricity markets logit and non parametric models are used to express the probability response for market splitting of day ahead spot electricity prices as a function of the explanatory variables representing the main technologies in the generation mix wind hydro thermal and nuclear power together with the available transfer capacity and electricity demand logit models give preliminary indications about market splitting behaviour and then notwithstanding the demanding computational challenge a non parametric model is applied in order to overcome the limitations of the former models results show an increase of market splitting probability with higher wind power generation or more generally with higher availability of low marginal cost electricity such as nuclear power generation the european interconnection capacity target of 10 of the peak demand of the smallest interconnected market might be insufficient to maintain electricity market integration therefore pro active coordination policies governing both interconnections and renewables deployment should be further developed

predicting price spikes in electricity markets using a regime switching model with time varying parameters this paper shows that a stochastic regime switching model can represent the volatile behavior of wholesale electricity prices associated with price spikes effectively the structure of the model is very flexible because the mean prices in the two regimes and the two transition probabilities are functions of the load and or the implicit reserve margin using price data from the single settlement market in pjm may 1999 to may 2000 the results show that the estimated switching probability from the low to the high regime predicts price spikes well if the reserve margin is measured accurately

volatility linkages between energy and agricultural commodity prices abstract we investigate price and volatility risk originating in linkages between energy and agricultural commodity prices in germany and study their dynamics over time we propose an econometric approach to quantify the volatility and correlation risk structure which has a large impact for investment and hedging strategies of market participants as well as for policy makers volatilities and their short and long run linkages are analyzed using an asymmetric dynamic conditional correlation garch model as well as a multivariate multiplicative volatility model our approach provides a flexible and accurate fitting procedure for volatility and correlation risk we find that in the long run prices move together and preserve an equilibrium while correlations are mostly positive with persistent market shocks our results reveal that concerns about biodiesel being the cause of high and volatile agricultural commodity prices are rather unjustified

reassessing the integration of european electricity markets a fractional cointegration analysis this study extends existing literature on the assessment of electricity market integration in europe by developing and testing hypotheses on the convergence of electricity wholesale prices and adopting a time varying fractional cointegration analysis in addition the potential impacts of some special events that may affect system capacity new interconnection market coupling increase in share of intermittent generation on spot and forward markets are considered and evaluated daily spot prices from february 2000 to march 2013 of nine european electricity spot markets apx uk apx nl belpex epex fr epex de ipex nordpool omel and ote and month ahead prices in four markets french british german and dutch from november 2007 to december 2012 are investigated results show that unit root tests which are generally used in the literature to test market integration are inadequate for assessing electricity spot market convergence because spot prices are found to be fractionally integrated and mean reverting time series furthermore spot price behaviour and their association with different markets change over time reflecting changes in the eu electrical system one month ahead prices by contrast were found to have become more resilient to shocks and to follow more stable trends

spot and derivative pricing in the eex power market using spot and futures price data from the german eex power market we test the adequacy of various one factor and two factor models for electricity spot prices the models are compared along two different dimensions 1 we assess their ability to explain the major data characteristics and 2 the forecasting accuracy for expected future spot prices is analyzed we find that the regime switching models clearly outperform its competitors in almost all respects the best results are obtained using a two regime model with a gaussian distribution in the spike regime furthermore for short and medium term periods our results underpin the frequently stated hypothesis that electricity futures quotes are consistently greater than the expected future spot a situation which is denoted as contango

modeling extreme dependence between european electricity markets electricity spot prices are characterized by sudden large movements followed a few days later by an equally large movement in the opposite direction these phenomena are called spikes upward movements and drops downward movements recent research has suggested that the dynamics of the electricity spot prices can be accurately described by hidden markov regime switching mrs models regime switch models separate the ordinary dependence and the extreme spike or drop dependence this is a crucial point since it is the extreme dependence that is of interest when computing risks we fit a large number of mrs models to six european electricity markets eex powernext apx power uk nl nord pool system sweden in order to analyze the nature of the prices the estimated regimes are then used to analyze the probability of an extreme event and the conditional probability for one market to experience an extreme event conditional that another market is experiencing the same event we find that the frequency of extreme events is positively related to the amount of renewable energy sources in the power system it can be argued that the dependence results in this paper give an indication of what future dependence for even more integrated markets with more renewable energy will be the integration of markets will lead to efficient sharing of reserves while the additional renewable energy will increase the need for reserves the results are of interest when computing financial risks e g var or expected shortfall when designing reserves but also as an indication of the degree of integration between markets

a dynamic network analysis of spot electricity prices in the australian national electricity market abstract this study applies dynamic network analysis to the power sector examining the relationship between regional spot electricity prices in the australian national electricity market nem in particular we employ principal component analysis and generate granger causality networks to examine the degree of interconnectedness of the nem in a time varying setting we find that the derived measures of interdependence can be related to actual market events such as price spikes unexpected high demand for electricity sudden increases in price volatility rebidding of dominant generators the temporary or permanent outage of major power stations and upgrades and limitations in transmission capacity in the analysed network we find that stronger dependence is exhibited by regional markets that are linked through interconnectors while the direction of granger causality can be related to interregional trade we further examine the usefulness of the derived measures for forecasting distributional characteristics of spot prices such as the maximum price volatility price spreads or upcoming periods of price spikes our results suggest that the derived network measures have predictive power albeit limited for the behaviour of spot electricity prices in the nem

a stochastic fuel switching model for electricity prices abstract this paper develops and applies a novel electricity price model we reproduce the merit order of a thermal dominated electricity system by establishing a non linear dependency of wholesale electricity prices on the prices of fuels coal and natural gas and of co 2 emission allowances the coefficients are estimated using a markov switching regression this approach might prove valuable for cross hedging positions in the fuel electricity and emission spot markets it is also of use for studying the degree to which electricity prices in different countries reflect fuel and emission cost applying the model to the electricity markets of the uk and germany we find that british electricity prices are quite well explained by short run cost factors while the german ones are less well explained

forecasting day ahead electricity spot prices the impact of the exaa to other european electricity markets abstract in our paper we analyze the relationship between the day ahead electricity price of the energy exchange austria exaa and other day ahead electricity prices in europe we focus on markets which settle their prices after the exaa which enables traders to include the exaa price into their calculations for each market we employ econometric models to incorporate the exaa price and compare them with their counterparts without the price of the austrian exchange by employing a forecasting study we find that electricity price models can be improved when exaa prices are considered

why the far distant future should be discounted at its lowest possible rate abstract a critical feature of the distant future is currently unresolvable uncertainty about what will then be the appropriate rate of return on capital to use for discounting this paper shows that there is a well defined sense in which the lowest possible interest rate should be used for discounting the far distant future part of any investment project some implications are discussed for evaluating long term environmental projects or activities like measures to mitigate the possible effects of global climate change

an empirical comparison of alternate regime switching models for electricity spot prices one of the most profound features of electricity spot prices are the price spikes markov regime switching mrs models seem to be a natural candidate for modeling this spiky behavior however in the studies published so far the goodness of fit of the proposed models has not been a major focus while most of the models were elegant their fit to empirical data has either been not examined thoroughly or the signs of a bad fit ignored with this paper we want to fill the gap we calibrate and test a range of mrs models in an attempt to find parsimonious specifications that not only address the main characteristics of electricity prices but are statistically sound as well we find that the most universal and robust structure is that of an independent spike 3 regime model with heteroscedastic diffusion type base regime dynamics and shifted spike regime distributions

long run relations in european electricity prices this paper analyses the interdependencies existing in wholesale electricity prices in six major european countries the results of a robust multivariate long run dynamic analysis reveal the presence of four highly integrated central european markets france germany the netherlands and austria the trend shared by these four electricity markets appears to be common also to gas prices but not to oil prices the existence of a common long term dynamics among electricity prices and between electricity prices and gas prices can be explained by the similarity of the market design across europe and by the same marginal generation technology since standard unit root and cointegration tests are not robust to the peculiar characteristics of electricity prices time series we also develop a battery of robust inference procedures that should assure the reliability of our results copyright 2009 john wiley sons ltd

the effects of additive outliers on tests for unit roots and cointegration this article discusses the properties of the univariate dickey fuller test and the johansen test for the cointegrating rank when there exist additive outlying observations in the time series we provide analytical as well as numerical evidence that additive outliers may produce spurious stationary hence the dickey fuller test will reject a unit root too frequently and the johansen test will indicate too many cointegrating vectors the results easily generalize to models with temporary change outliers through an empirical example we discuss how additive and temporary change outliers can be detected in practice and we show how dummy variables can be used to remove the influence of such extreme observations

a note on using the hodrick prescott filter in electricity markets abstract recently nowotarski et al 2013 have found that wavelet based models for the long term seasonal component ltsc are not only better in extracting the ltsc from a series of spot electricity prices but also significantly more accurate in terms of forecasting these prices up to a year ahead than the commonly used monthly dummies and sine based models however a clear disadvantage of the wavelet based approach is the increased complexity of the technique as compared to the other two classes of ltsc models and the resulting need for dedicated numerical software which may not be readily available to practitioners in their work environments to facilitate this problem we propose here a much simpler yet equally powerful method for identifying the ltsc in electricity spot price series it makes use of the hodrick prescott hp filter a widely recognized tool in macroeconomics

component estimation for electricity prices procedures and comparisons abstract electricity price time series usually exhibit some form of nonstationarity corresponding to long term behavior one or more periodic components as well as dependence on calendar effects as a result modeling electricity prices requires accounting for both long term and periodic components in the literature several filtering procedures have been proposed but a standard has not yet been found furthermore since different procedures are applied in contexts that are not homogeneous with respect to data periods and final goals a fair comparison is difficult this work considers several methods for component estimation in a homogeneous framework and compares them according to specific criteria the final purpose is to find an estimation procedure that performs well independently of the intended market and that can be proposed as a reference for electricity price time series filtering

growth with endogenous risk of biological invasion wemodelbiologicalinvasionsasanunintendedby productofcapitalaccumulation we distinguish three spillover effects 1 a negative production externality 2 anegative or positive consumption externality and 3 an increase in the risk of futurewelfare loss we also consider the implications when households self protect byallocating income to reduce the potential damages from a biological invasion anoptimal output tax for production externalities is straightforward and can beaugmented in the case of negative or positive spillover effects on consumer welfare policiestocorrecttheeffectofinvasionsonendogenousriskaremoredifficulttodesign jel o13 o41 q2

when does predation dominate collusion i study repeated competition among oligopolists the only novelty is that firms may go bankrupt and permanently exit the probability that a firm survives a price war depends on its financial strength which varies stochastically over time under some conditions including no entry an anti folk theorem holds when firms are patient so that strength levels change relatively quickly every nash equilibrium involves an immediate price war that lasts until at most one firm remains surprisingly the possibility of entry may facilitate collusion as may impatience the model can explain some observed patterns of collusion and predation

how does germany s green energy policy affect electricity market volatility an application of conditional autoregressive range models abstract based on a dynamic model for the high low range of electricity prices this article analyses the effects of germany s green energy policy on the volatility of the electricity market using european energy exchange data from 2000 to 2015 we find rather high volatility in the years 2000 2009 but also that the weekly price range has significantly declined in the period following the year 2009 this period is characterised by active regulation under the energy industry law enwg the eu emissions trading directive etd and the renewable energy law eeg in contrast to the preceding period price jumps are smaller and less frequent especially for day time hours implying that current policy measures are effective in promoting renewable energies while simultaneously upholding electricity market stability this is because the regulations strive towards a more and more flexible and market oriented structure which allows better integration of renewable energies and supports an efficient alignment of renewable electricity supply with demand

flexible lease contracts in the fleet replacement problem with alternative fuel vehicles a real options approach abstract we study the use of flexible lease contacts in the fleet portfolio management problem of a firm that aims to minimize its cost and risk recursive expected conditional value at risk simultaneously in a stochastic multi period setting by deciding which technologies to use in its fleet we propose a model using real options return and swap to model contract flexibility and to account for different uncertainties co2 prices fuel prices mileage covered by a vehicle fuel consumption and technological we analyse how fuel price uncertainty and technological progress influence the value of the options we validate the results using a real world case study conducted in the uk

recent advances in electricity price forecasting a review of probabilistic forecasting abstract since the inception of competitive power markets two decades ago electricity price forecasting epf has gradually become a fundamental process for energy companies decision making mechanisms over the years the bulk of research has concerned point predictions however the recent introduction of smart grids and renewable integration requirements has had the effect of increasing the uncertainty of future supply demand and prices academics and practitioners alike have come to understand that probabilistic electricity price and load forecasting is now more important for energy systems planning and operations than ever before with this paper we offer a tutorial review of probabilistic epf and present much needed guidelines for the rigorous use of methods measures and tests in line with the paradigm of maximizing sharpness subject to reliability the paper can be treated as an update and a further extension of the otherwise comprehensive epf review of weron 1 or as a standalone treatment of a fascinating and underdeveloped topic that has a much broader reach than epf itself

merit order effects of renewable energy and price divergence in california s day ahead and real time electricity markets abstract we answer two policy questions 1 what are the estimated merit order effects of renewable energy in the california independent system operator s caiso s day ahead market dam and real time market rtm and 2 what causes the hourly dam and rtm prices to systematically diverge the first question is timely and relevant because if the merit order effect estimates are small california s renewable energy development is of limited help in cutting electricity consumers bills but also has a lesser adverse impact on the state s investment incentive for natural gas fired generation the second question is related to the efficient market hypothesis under which the hourly rtm and dam prices tend to converge using a sample of about 21 000 hourly observations of caiso market prices and their fundamental drivers during 12 12 2012 04 30 2015 we document statistically significant estimates p value 0 01 for the dam and rtm merit order effects this finding lends support to california s adopted procurement process to provide sufficient investment incentives for natural gas fired generation we document that the rtm dam price divergence partly depends on the casio s day ahead forecast errors for system loads and renewable energy this finding suggests that improving the performance of the caiso s day ahead forecasts can enhance trading efficiency in california s dam and rtm electricity markets

an options pricing approach to ramping rate restrictions at hydro power plants this paper investigates the impact of ramping rate restrictions imposed on hydro operations to protect aquatic ecosystems the optimal ramping decision is specified as an optimal control problem which results in a hamilton jacobi bellman hjb equation electricity prices are modelled as a regime switching stochastic process the optimal control is determined by solving the hjb equation numerically using a fully implicit finite difference approach with semi lagrangian time stepping the paper focuses on the effect of ramping restrictions on a hydro plant s value and optimal operations and provides an analysis of which factors cause ramping restrictions to have a greater or lesser impact on profitability it is shown that hydro plant value is negatively affected by ramping restrictions but the extent of the impact depends on key parameters which determine the desirability of frequent changes in water release rates interestingly for the case considered value is not sensitive to ramping restrictions over a large range of restrictions the results point to the importance of accurately modelling electricity prices in gauging the trade offs involved in imposing restrictions on hydro operators which may hinder their ability to respond to volatile electricity prices and meet peak demands

predation reputation and entry deterrence abstract economists often argue that predatory practices are irrational since there exist cheaper or more certain means to gain or maintain a monopoly our gametheoretic equilibrium analysis suggests that if a firm is threatened by several potential entrants then predation may be rational against early entrants even if it is costly when viewed in isolation because it yields a reputation which deters other entrants asymmetric information plays a crucial role in our analysis since it provides the rationale for entrants to base their expectations of the firm s future behavior on its past actions the analysis also suggests methods to treat general reputational phenomena

on transition probabilities of regime switching in electricity prices we analyze the transition probabilities of regime switching in electricity prices by explicitly incorporating the underlying demand supply structure we show that the transition probabilities of electricity prices cannot be constant and depend on both the current demand level relative to the supply capacity and the trends of demand fluctuation these results not only contrast with the assumption of constant transition probabilities on which many regime switching models are built but also provide new insights on the determinants of the state dependent transition probabilities of regime switching

short term forecasting of electricity prices for miso hubs evidence from arima egarch models this study estimates three time series models arima arima egarch and arima egarch m for hourly real time electricity prices for each of the five hubs of the midwest independent system operator miso and examines the in and out of sample forecasting performance of the respective models the results from the arima models reveal the presence of autoregressive conditional heteroskedasticity recognizing the possibility of asymmetric time varying volatility the egarch specification for the variance equation demonstrates the presence of an inverse leverage effect in electricity prices for each hub with respect to forecasts no one model clearly dominates the others in terms of in sample forecasting performance based on four forecast evaluation statistics however the arima egarch m model outperforms the other models michigan hub is the exception in terms of the out of sample forecasting performance

resource extraction with a carbon tax and regime switching prices exercising your options this paper develops a model of a profit maximizing firm with the option to exploit a non renewable resource choosing the timing and pace of development the resource price is modelled as a regime switching process which is calibrated to oil futures prices a hamilton jacobi bellman equation is specified that describes the profit maximization decision of the firm the model is applied to a problem of optimal investment in a typical oils sands in situ operation and solved for critical levels of oil prices that would motivate a firm to make the large scale investment needed for oil sands extraction as well as to operate mothball or abandon the facility regime shifts can have an important effect on the optimal timing of investment and extraction the paper examines the effect of several carbon tax schemes on optimal timing of construction production and abandonment a form of green paradox is identified

collusion under financial constraints collusion or predation when the discount factor is near one abstract this paper considers the possibility of collusion between financially constrained firms it is found that they cannot collude when the discount factor is sufficiently close to one while collusion emerges at lower discount factors

measuring market integration and estimating policy impacts on the swiss electricity market abstract we investigate market integration in central western european electricity markets with a focus on switzerland we propose a structural microeconometric approach to measuring the degree of market integration taking advantage of unilateral demand and supply shocks such as the generation from volatile renewable resources the unavailability of generation units and national holidays these exogenous events affect electricity prices in switzerland and allow estimating the level of market integration by disentangling their effects in congested and non congested situations exploiting information on congested and non congested situations in parametric instrumental variable estimation permits simulating hypothetical non congested swiss electricity prices in historically congested situations our approach allows considering the non linear nature of level shifts of congestion and disentangling it from the structurally different interplay of demand and supply in respective situations using data on hourly electricity prices and its determinants regarding switzerland and neighboring countries from 2015 and 2016 we find that an expansion of interconnector capacity at the german austrian swiss border could decrease swiss electricity prices substantially in a more attenuated way the same holds true for the french swiss and the italian swiss border for switzerland as a whole prices in congested situations are about 17 higher than hypothetical non congested prices

global warming endogenous risk and irreversibility this paper develops two period analytical and numerical models to study the question given a stock of greenhouse gases that poses a risk of future damages of unknown magnitude and the possibility of learning about damages how do sunk abatement capital and a nondegradable stock of greenhouse gases affect optimal first period investment we show that both affect investment the former negatively and the latter positively additionally endogenous risk the risk of damages dependent on the stock of gases results in an increase in optimal investment for any level of capital sunkness or greenhouse gas degradability quantitatively the effect of sunk capital is stronger than the effect of greenhouse gas irreversibility or that of endogenous risk

econometric modeling of regional electricity spot prices in the australian market abstract wholesale electricity markets are increasingly integrated via high voltage interconnectors and inter regional trade in electricity is growing to model this we consider a spatial equilibrium model of price formation where constraints on inter regional flows result in three distinct equilibria in prices we use this to motivate an econometric model for the distribution of observed electricity spot prices that captures many of their unique empirical characteristics the econometric model features supply and inter regional trade cost functions which are estimated using bayesian monotonic regression smoothing methodology a copula multivariate time series model is employed to capture additional dependence both cross sectional and serial in regional prices the marginal distributions are nonparametric with means given by the regression means the model has the advantage of preserving the heavy right hand tail in the predictive densities of price we fit the model to half hourly spot price data in the five interconnected regions of the australian national electricity market the fitted model is then used to measure how both supply and price shocks in one region are transmitted to the distribution of prices in all regions in subsequent periods finally to validate our econometric model we show that prices forecast using the proposed model compares favorably with those from some benchmark alternatives

the effects of renewables in space and time a regime switching model of the italian power price abstract renewable energy production can exercise a downward pressure on electricity prices by partly crowding out conventional units characterized by higher marginal costs merit order effect yet congestion induced by renewables would partly offset the merit order effect in the congested zone unless renewables reduce the need for imports and allow the emergence of prosumers these congestion effects of renewables are hereby jointly tested with the merit order effect by means of an endogenous regime switching model wherein a regime corresponds to the observable status congested non congested of the grid the model is taken to data from the italian power exchange observed in 2012 and 2013 with a focus on the line connecting sicily with the south zone a frequent bottleneck in the italian transmission grid the results confirm the merit order effect previously detected in the literature and highlight a negative congestion effect i e renewables relieve congestion from sicily a systematic importer but not from the italian peninsula the exporting region this effect is mainly driven by the wind power in feed

how renewable production depresses electricity prices evidence from the german market abstract the urgency of climate change has led several countries to develop renewable energy in order to reduce co2 emissions through the means of various subsidies in the electricity sector one drawback of such policies is the negative impact on electricity prices known as the merit order effect this paper aims at assessing how intermittent renewable production depresses electricity prices in germany which has experienced a significant increase of its renewable capacity over the last two decades to do so we use a two regime markov switching model that enables to disentangle the impact of wind and solar generation depending on the price being high or low we find as expected that renewable production induces a negative marginal effect which is stronger in regimes of relatively high prices in addition we show that both wind and solar productions have a significant impact on the distribution of prices and in particular on the frequency and expected duration of each regime this has implications in terms of market design security of supply and support mechanisms for renewables

investing in electricity production under a reliability options scheme abstract reliability options ros are used to enhance the security of supply in electricity systems when a power producer writes a ro s he agrees to set a cap on the price of electricity that s he cashes in return the system operator i e the party that is buying the option pays to the option issuer a fixed premium in this paper we analyze how ros affect the timing and value of investments in the energy sector and we show under what conditions they can be used as investment stimuli we prove that contrarily to what is expected ros can potentially harm the security of supply by delaying the adoption of new capacity and by reducing the value of investing in it to avoid such a result a careful setting of the relevant parameters is needed

a hybrid system econometric model for electricity spot prices considering spike sensitivity to forced outage distributions with the current trend in deregulation all electricity markets have been subject to volatile electricity prices typically in peak season as markets mature new financial and operational risk management instruments are becoming available in order to price such instruments a model for the underlying price process is required in this paper a hybrid model is described that contains aspects of the power system as well as the historical time series of spot prices observed in the market by including both aspects of the problem a model with both economic and system based aspects is created its modular design allows easy adaptation to different markets based on generating system reliability load patterns and price histories the spot price histories are manifest in two probability distributions for these prices whereas the system specifics are included via load and generation models which are calibrated to the climate and system of interest

multivariate volatility modeling of electricity futures the deregulation of european electricity markets has led to an increasing need in understanding the volatility and correlation structure of electricity prices we model a multivariate futures series of the european energy exchange eex index using an asymmetric garch model for volatilities and augmented dynamic conditional correlation dcc models for correlations in particular we allow for smooth changes in the unconditional volatilities and correlations through a multiplicative component that we estimate non parametrically we also introduce exogenous variables in our new multiplicative dcc model to account for congestion in short term conditional volatilities we find different correlation dynamics for long and short term contracts and the new model achieves higher forecasting performance compared to a standard dcc model

financially constrained entry in a game with incomplete information in an earlier paper we presented an entry game with a monopolist and a potential entrant facing financial constraints in which the unique perfect equilibrium involved no entry here we consider a one sided incomplete information variant of the game in which the monopolist allows for the possibility that the entrant is committed to endure a price war to the limit of his capability we find a unique sequentially perfect equilibrium in which entry sometimes occurs when it does predatory price wars may result with the incumbent sometimes driving out the entrant but other times eventually abandoning the fight

price and volatility dynamics between electricity and fuel costs some evidence for spain abstract the purpose of this study is to investigate the causal linkages between the spanish electricity brent crude oil and zeebrugge belgium natural gas 1 month ahead forward prices following lutkepohl et al 2004 we control for the presence of a structural change in the series and then we use the johansen cointegration test and a vector error correction model vecm to embrace the analysis additionally a multivariate generalized autoregressive conditional heteroskedastic garch model is applied to explore volatility interactions between the three markets involved in the study our findings reveal that brent crude oil and zeebrugge natural gas forward prices play a prominent role in the spanish electricity price formation process furthermore causation both in price and volatility runs from brent crude oil and natural gas forward markets to the spanish electricity forward market these results are of practical importance for both the wholesale and retail markets participants as well as the regulator through the established link between the forward contracts price and the spanish tariff of last resort paid by more than 23 million of customers

regime jumps in electricity prices many countries are liberalizing their energy markets participants in these markets are exposed to market risk due to the characteristics of electricity price dynamics electricity prices are known to be mean reverting very volatile and subject to frequent spikes models that describe the dynamics of electricity prices should incorporate these characteristics in order to capture the price spikes many researchers have introduced stochastic jump processes but we argue and show that this specification might lead to potential problems with specifying the true amount of mean reversion within the process in this paper we propose a regime switching model that models price spikes separated from normal mean reverting prices

improving forecasts with the co range dynamic conditional correlation model abstract we introduce a new specification of the dynamic conditional correlation dcc model where its parameters are estimated with the use of closing and additionally low and high prices such prices are often commonly available for many financial series and contain more information about the variation of returns we construct the model with the range based estimator of variance but more importantly also with the range based estimator of covariance the latter estimator and as a consequence the proposed dcc model require however that the range of a portfolio return is given we compare the model with three other specifications of the dcc models and evaluate them based on monte carlo experiments and currencies rates from the forex market we show that the use of low and high prices can improve estimation of covariance and correlation matrices of returns and increase the accuracy of forecasts of covariance and correlation matrices based on this model compared with using closing prices only the proposed model is superior not only to the standard dcc model but also to the competing range based dcc model

colluding on excluding abstract in an oligopoly characterized by barriers to re entry a finite horizon complete information convex costs and the presence of three identical firms i show that in subgame perfect equilibrium two of them the predators can choose to charge an initial price that is so low that the third the prey decides to exit immediately in this predatory pricing equilibrium the predators can enjoy higher profits than in the best collusive equilibrium with three firms thus a coalition of two firms can benefit from colluding on excluding

electricity wholesale market prices in europe convergence abstract this paper tests the hypothesis that the ongoing restructuring process in the european electricity sector has led to a common european market for electricity based on a principal component analysis pca of wholesale electricity prices in 2002 2006 we reject the assumption of full market integration for several pairs of countries the weaker hypothesis of bilateral convergence is accepted based on unit root tests kpss and adf and a convergence test based on filtered pairwise price relations this indicates that the efforts to develop a single european market for electricity were so far only partially successful we show that the daily auction prices of scarce cross border transmission capacities are insufficient to explain the persistence of international price differentials empirically our findings confirm the insufficiency of explicit capacity auctions as stated in the theoretical literature

the climate beta how does climate change mitigation affect the aggregate consumption risk borne by future generations in other words what is the climate beta in this paper we argue using a combination of theory and integrated assessment modelling that the climate beta is positive and close to unity for maturities of up to about one hundred years this is because the positive effect on the climate beta of uncertainty about exogenous emissions neutral technological progress overwhelms the negative effect on the climate beta of uncertainty about the carbon climate response particularly the climate sensitivity and the damage intensity of warming mitigating climate change therefore has no insurance value to hedge the aggregate consumption risk borne by future generations on the contrary it increases that risk which justifies a relatively high discount rate on the expected benefits of emissions reductions however the stream of undiscounted expected benefits is also increasing in the climate beta and this dominates the discounting effect so that overall the net present value of carbon emissions abatement is increasing in the climate beta

do oil spot and futures prices move together abstract this paper investigates the time varying correlation and the causal relationship between crude oil spot and futures prices using a newly developed approach wavelet coherency analysis in time frequency domain first we find evidence of a long run cointegration relationship between oil spot and futures prices moreover the short run causality is more significant in shorter maturity pairs versus longer maturity pairs in the vector error correction framework second the results from wavelet coherency analysis show significant dynamic correlations between variables in the time frequency domain third the illustration of the phase difference series around zero suggests that spot and futures prices contribute to the dynamics of the long run equilibrium fourth and finally we provide reasons for the structural changes in oil prices and also recommend investment strategies corresponding to risk diversification future studies focusing on the behavior of oil prices should consider the characteristics of the time frequency space and lead lag dynamic relationships

constructing forward price curves in electricity markets we present and analyze a method for constructing approximated high resolution forward price curves in electricity markets because a limited number of forward or futures contracts are traded in the market only a limited picture of the theoretical continuous forward price curve is available to the analyst our method combines the information contained in observed bid and ask prices with information from the forecasts generated by bottom up models as an example we use information concerning the shape of the seasonal variation from a bottom up model to improve the forward price curve quoted on the nordic power exchange

estimating temperature effects on the italian electricity market abstract this paper provides empirical evidence of the effects that weather conditions exert on the electricity market offering a new contribution to the understanding of hourly regional price formation in the day ahead market in italy the empirical estimation uses a new data set of hourly data on both market variables and temperature variables there is a vast body of literature on the effect of temperature on final consumers and on wholesale electricity market equilibrium however the influence of temperature on the behavior of the wholesale electricity market has not been studied at the hourly level a new econometric estimation shows some evidence of different effects of temperature and provides a more accurate estimation of the hourly prices forecasting out of sample performance of the model is satisfactory the present results have welfare improving policy implications because appropriate policy strategies can help public decision makers promote regulation such as issuing public weather alert and designing contingent plans to face extreme weather conditions which improves production efficiency network management and consumer saving behavior taking specific weather conditions into account

oligopolistic equilibrium and financial constraints we provide a model of dynamic duopoly in which rms face nancial constraints and dissapear when they are unable to ful ll them we show that in some cases cournot outputs are no longer supported in equilibrium because if these outputs were set a rm may have incentives to ruin the other in these cases standard grim trigger strategies in which collusion is sustained by in nite reversion to cournot outputs cannot be used we show that there is a stationary markov equilibrium in mixed strategies where predation occurs with a positive probability we also obtain a modi ed folk theorem we show that any bankruptcy free outputs outputs in which no rm can drive another rm to bankruptcy without becoming bankrupt itself that attain individually rational pro ts re ecting bankruptcy consideration can be supported by a subgame perfect nash equilibrium when rms are su ciently long sighted

germany s nuclear power plant closures and the integration of electricity markets in europe this paper examines the potential implications of national policies that lead to a sudden increase of wind power in the electricity mix for interconnected european electricity markets more specifically it examines market integration before and after the closures of eight nuclear power plants that occurred within a period of a few months in germany during 2011 the short and long run interrelationships of daily electricity spot prices from november 2009 to october 2012 in apx endex belpex epex de epex fr nordpool omel and swissix and wind power in the german system are analysed two mgarch multivariate generalized autoregressive conditional heteroscedasticity models with dynamic correlations are used to assess spot market behaviour in the short run and a fractional cointegration analysis is conducted to investigate changes in the long run behaviour of electricity spot prices results show positive time varying correlations between spot prices in markets with substantial shared interconnector capacity a negative association between wind power penetration in germany and electricity spot prices in the german and neighbouring markets and for most markets a decreasing speed in mean reversion

deregulation of the nordic power market and environmental policy abstract a common nordic power market will reduce total co 2 emissions in the nordic countries as compared to a situation of autarky and thus reduce the aggregate cost of complying to strict national co 2 emission targets a common market for co 2 emission permits may reduce the aggregate cost further but this cost reduction will be smaller the harsher the co 2 emission constraints are the economic gain of introducing a common nordic power market will be particularly large in the case of a swedish nuclear power phase out in this case the cost reduction of introducing a common market for co 2 emission permits will not be very large