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

oil and gas markets in the uk evidence from a cointegrating approach the paper examines the relationship between uk wholesale gas prices and the brent oil price over the period 1996 2003 in order to investigate whether oil and gas prices decoupled during this period as orthodox gas market liberalisation theory suggests tests for unit roots and cointegration are carried out and it is discovered that a long run equilibrium relationship between uk gas and oil prices exists moreover this relationship pre dates the opening of the uk mainland europe interconnector following a recursive methodology hansen h and johansen s 1999 some tests for parameter constancy in cointegrated var models econometrics journal 2 306 333 it was found that the cointegrating relationship is present throughout the sample period however the long run solutions seem to be more volatile evidence is provided that the short run relationship is linear and impulse response functions are used to examine the effects that a shock in oil would have on gas these findings do not support the assumption that gas prices and oil prices decouple

analysis of the nonlinear response of electricity prices to fundamental and strategic factors this paper seeks to characterize the nonlinear effects of exogenous factors on wholesale electricity price formation using a special type of regime switching the logistic smooth transition regression model we capture the mean reverting and spiky characteristics of spot prices and at the same time estimate their rather complex relationships to fundamentals we show that for different trading periods within the day prices can be a function of fundamentally different drivers in addition to including the usual fuel price demand and reserve margin drivers this analysis tests whether a market concentration variable is as significant in the high frequency context as it is known to be over the longer term the analysis is also innovative in testing the nonlinear influence of carbon emission trading

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

a nominal theory of the nominal rate of interest and the price level this paper develops a simple theory of nominal income and interest determination under the assumption that the only relevant distinction between money and bonds lies in their holding periods individuals take full account of the government budget constraint and do not concern themselves with discounting future tax liabilities associated with the issue of government bonds according to this theory the price of bonds is analogous to the price level and the nominal rate of interest is determined by the bond money ratio and bears no close relationship to the rate of expansion of the price level

from unemployed to entrepreneur the role of the absolute bequest motive abstract using the british household panel survey this paper finds that inheritance has a concave effect on the hours worked by male entrepreneurs receiving an inheritance increases the labor supply of unemployed male entrepreneurs however this effect becomes smaller for higher inheritances

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

the impacts of eu co2 emissions trading on electricity markets and electricity consumers in finland abstract in this paper the likely impacts of the eu emission trading system on the nordic electricity market and on the position of various market actors are assessed in its first phase the eu co 2 emission trading system includes power plants with thermal capacity greater than 20 mw metals industry pulp and paper industry mineral industry and oil refineries this paper describes the assessment done for the finnish minister of trade and industry analysing the likely impacts on power plant operators on energy intensive industries on other industries and on other consumer groups the impacts of emissions trading were studied with the vtt electricity market model and with the times energy system model the annual average electricity price was found to rise 0 74 eur mw h 1 for every 1 tonne co 2 1 in the nordic area large windfall profits were estimated to incur to electricity producers in the nordic electricity market in finland metals industry and private consumers were estimated to be most affected by the electricity market price increases expanded nuclear power generation could limit the increases in the prices of electricity to one third compared to those in the base case

eliminating price supports a political economy perspective abstract this paper characterizes information and politically constrained government programs for eliminating price supports the issues which we examine in this model include i to what extent is it possible to reduce the size of oversubscribed industries in light of the information and political constraints that exist is a complete decoupling of a worker s compensation from her output possible or desirable ii which type of workers as characterized by their skill levels and outside employment opportunities remain in the industry iii which type of worker is harmed by the relocation program which coalitions of workers will oppose the reorganization

comparing smooth transition and markov switching autoregressive models of us unemployment logistic smooth transition and markov switching autoregressive models of a logistic transform of the monthly us unemployment rate are estimated by markov chain monte carlo methods the markov switching model is identified by constraining the first autoregression coefficient to differ across regimes the transition variable in the lstar model is the lagged seasonal difference of the unemployment rate out of sample forecasts are obtained from bayesian predictive densities although both models provide very similar descriptions bayes factors and predictive efficiency tests both bayesian and classical favor the smooth transition model copyright 2008 john wiley sons ltd

finite lifetimes and growth abstract in this paper we study the long run growth property of overlapping generations models it is shown that in one sector models with convex technologies the asymptotic growth rate must be zero this results because the young do not have sufficient income to purchase a large capital stock thus a policy of income redistribution to the young can generate growth even if financed by income taxation additionaly it is shown that two sector models and one sector models with nonconvex technologies are consistent with growth

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

modelling price and volatility inter relationships in the australian wholesale spot electricity markets this paper examines the inter relationships of wholesale spot electricity prices among the four regional electricity markets in the australian national electricity market nem namely new south wales queensland south australia and victoria using the constant conditional correlation and tse and tsui s tse y k tsui a k c 2002 a multivariate generalised autoregressive conditional heteroscedasticity model with time varying correlations journal of business and economic statistics 20 3 351 362 and engle s engle r 2002 dynamic conditional correlation a sample class of multivariate generalized autoregressive conditional heteroskedasticity models journal of business and economic statistics 20 3 339 350 dynamic conditional correlation multivariate garch models tse and tsui s tse y k tsui a k c 2002 a multivariate generalised autoregressive conditional heteroscedasticity model with time varying correlations journal of business and economic statistics 20 3 351 362 dynamic conditional correlation multivariate garch model which takes account of the student t specification produces the best results at the univariate garch 1 1 level the mean equations indicate the presence of positive own mean spillovers in all four markets and little evidence of mean spillovers from the other lagged markets in the dynamic conditional correlation equation the highest conditional correlations are evident between the well connected markets indicating the presence of strong interdependence between these markets with weaker interdependence between the not so well interconnected markets

forecasting electricity spot prices using time series models with a double temporal segmentation the french wholesale market is set to expand in the next few years under european pressure and national decisions in this article we assess the forecasting ability of several classes of time series models for electricity wholesale spot prices at a day ahead horizon in france electricity spot prices display a strong seasonal pattern particularly in france given the high share of electric heating in housing during winter time to deal with this pattern we implement a double temporal segmentation of the data for each trading period and season we use a large number of specifications based on market fundamentals linear regressions markov switching ms models and threshold models with a smooth transition an extensive evaluation on french data shows that modelling each season independently leads to better results among nonlinear models ms models designed to capture the sudden and fast reverting spikes in the price dynamics yield more accurate forecasts finally pooling forecasts give more reliable results

public investment and real price supports abstract the social rate of return to public investment in industries with fixed real price supports is studied using a simple general equilibrium model fixed real price supports are shown to enhance the likelihood of immiserizing growth due to capital accumulation or technological innovation in the supported sector general conditions under which an intervention price will induce a negative social rate of return to public investment are derived

the impact of renewable energies on eex day ahead electricity prices in this paper we analyze the impact of renewable energies wind and photovoltaic on the formation of day ahead electricity prices at eex we give an overview of the policy decisions concerning the promotion of renewable energy sources in germany and discuss their consequences on day ahead prices an analysis of electricity spot prices reveals that the introduction of renewable energies enhances extreme price changes in the frame of a dynamic fundamental model we show that there has been a continuous electricity price adaption process to market fundamentals furthermore the fundamental drivers of prices differ among hours with different load profiles our results imply that renewable energies decrease market spot prices and have implications on the traditional fuel mix for electricity production however the prices for the final consumers increased overall because they must pay in addition the feed in tariffs for the promotion of renewable energy

transmission of prices and price volatility in australian electricity spot markets a multivariate garch analysis this paper examines the transmission of spot electricity prices and price volatility among the five regional electricity markets in the australian national electricity market namely new south wales queensland south australia the snowy mountains hydroelectric scheme and victoria a multivariate generalised autoregressive conditional heteroskedasticity model is used to identify the source and magnitude of price and price volatility spillovers the results indicate the presence of positive own mean spillovers in only a small number of markets and no mean spillovers between any of the markets this appears to be directly related to the physical transfer limitations of the present system of regional interconnection nevertheless the large number of significant own volatility and cross volatility spillovers in all five markets indicates the presence of strong autoregressive conditional heteroskedasticity and generalised autoregressive conditional heteroskedasticity effects this indicates that shocks in some markets will affect price volatility in others finally and contrary to evidence from studies in north american electricity markets the results also indicate that australian electricity spot prices are stationary

forecasting power prices using a hybrid fundamental econometric model we investigate the performance of two hybrid forecasting models to predict the next day base load electricity prices on the apx power exchange for great britain hybrid models have often been advocated as a synthetic method for forecasting but it is an open question how well they perform at the day ahead stage a conventional hybrid approach combines a fundamental model formulated with supply stack modeling with an econometric model using data on price drivers we extend this model to one based upon logistic smooth transition regression which represents a regime switching for periods of structural change empirical results for out of sample forecasting using both hybrid approaches are discussed and compared to non hybrid time series forecasting methods

first evidence of asymmetric cost pass through of eu emissions allowances examining wholesale electricity prices in germany abstract we test the hypothesis that rising prices of emission allowances have a stronger impact on wholesale electricity prices than falling prices asymmetric cost pass through using an autoregressive distributed lag model we confirm this hypothesis for the german market

economic growth with finite lifetimes abstract finite lifetimes do not preclude sustained growth with a convex technology when agents are finitely lived and formulate their bequeathing decisions in terms of an absolute bequest motive in this model the presence of government debt adversely affects the equilibrium rate of growth of the capital stock

growth with unintended bequests abstract in an overlapping generations model with finite lifetimes sustained growth is possible if there is a positive risk of death a redistribution occurs when non altruistic parents leave unintended bequests to their children

reversal of fortune immiserizing technical change in agriculture several recent studies have reported the possibility of immiserizing technical change in agriculture in these studies the interaction of government commodity policy and technical change has been shown potentially to lead to a loss of national welfare a negative rate of return to research the purpose of this paper is to tie these recent results to the earlier results of bhagwati and johnson on immiserizing growth technical change and to offer a more general condition for describing the impacts of distortions on the benefits from technical change

agricultural pricing and public investment abstract aggregate agricultural supply is price inelastic but responsive to investment in agricultural infrastructure irrigation roads research extension thus the government should tax agriculture and finance infrastructure although unlikely to pay for itself directly it will increase taxable agricultural surplus but by raising rural living standards and therefore the supply price of urban labour it reduces urban tax revenue its marginal social product is therefore overstated when measured at world prices though understated at distorted agricultural prices with scale economies in industry the case for taxing and investing in agriculture is strengthened it may allow the economy to escape stagnation

the new classical macroeconomics comprises articles published between 1972 and 1992 on new classical macroeconomics it starts by examining the rational expectations hypothesis and the application of general equilibrium to labour markets and continues with various arguments for the ineffectiveness of government policy