alternative models of restructured electricity systems part 1 no market power different equilibrium concepts have been proposed by various authors schweppe et al hogan et al chao and peck wu et al to analyse competitive electricity systems we establish correspondences between these different models through a single framework and provide additional interpretations of these equilibrium concepts this unifying conceptual view also provides a computationally feasible approach to simulate the market it also opens the way to the modeling of some imperfect markets

on the long run effects of market splitting why more price zones might decrease welfare in liberalized electricity markets we observe different approaches to congestion management while nodal pricing is implemented in canada and some markets in the united states european markets are split up into a limited number of price zones with uniform prices in order to at least partially realize the benefits of regional price differentiation zonal boundaries often coincide with national borders but some countries are also split into multiple zones in this paper we shed light on possible negative welfare effects of market splitting that arise in a model where investment incentives in new generation capacity are taken into account if zones are misspecified we show that standard approaches to configure price zones on the basis of projected nodal price differences or congested transmission capacity may fail to suggest reasonable zone specifications also an adjustment of available transfer capacities atcs between zones or a switch to flow based market splitting does not ensure positive welfare effects our analysis suggests that a careful and detailed evaluation of the system is needed to ensure a reasonable zone configuration

oil prices and the stock prices of alternative energy companies energy security issues coupled with increased concern over the natural environment are driving factors behind oil price movements while it is widely accepted that rising oil prices are good for the financial performance of alternative energy companies there has been relatively little statistical work done to measure just how sensitive the financial performance of alternative energy companies are to changes in oil prices in this paper a four variable vector autoregression model is developed and estimated in order to investigate the empirical relationship between alternative energy stock prices technology stock prices oil prices and interest rates our results show technology stock prices and oil prices each individually granger cause the stock prices of alternative energy companies simulation results show that a shock to technology stock prices has a larger impact on alternative energy stock prices than does a shock to oil prices these results should be of use to investors managers and policy makers

welfare effects of expansions in equilibrium models of an electricity market with fuel network the welfare of electricity producers and consumers depends on congestion in the transmission grid generation costs that consist mainly of fuel costs and strategic behavior we formulate a game theoretic model of an oligopolistic electricity market where generation costs are derived from a fuel supply network the game consists of a fuel dispatcher that transports fuels at minimum cost to meet generator demands generators that maximize profit in cournot competition and an independent system operator iso that sets nodal prices to balance electricity supply with linear demand functions we prove the existence of an equilibrium if fuel supplies are unlimited the same equilibria hold in a simplified version of the game in which each generator optimizes its fuel acquisition from the network in some very simple examples under different assumptions about the rationality of generators with respect to iso decisions paradoxical effects on total welfare can occur from expanding either electricity transmission capacity or the transportation capacity of low cost fuel we find some instances in which the paradox occurs only under bounded rationality of the generators others where it occurs only if the generators are fully rational and still others where it occurs to different degrees under the two rationality assumptions

asymmetric volatility spillovers between oil and stock markets evidence from china and the united states abstract the relationship between oil and stock markets is a hot topic but little research has focused on the time varying asymmetric volatility spillover in a quantitative manner in this study we use a new spillover directional measure and asymmetric spillover measures to investigate the dynamic asymmetric volatility spillover between oil and stock markets during the period of 2007 to 2016 using the intra day data of wti future prices the sp the results also show strong evidence of asymmetries in volatility shocks between the oil and stock markets due to bad volatility

extreme risk spillovers between crude oil and stock markets abstract this paper investigates the spillovers of extreme risks between crude oil and stock markets using daily data of the s p 500 stock index and west texas intermediate wti crude oil futures returns based on the method of granger causality in risk value at risk var is employed to measure market risk and a class of kernel based tests is used to detect negative and positive risk spillover effects empirical results reveal that there are significant risk spillovers between the two markets extreme movements past or current in one market may have a significant predictive power for those in the other market prior to the recent financial crisis there are positive risk spillovers from stock market to crude oil market and negative spillovers from crude oil market to stock market after the financial crisis bidirectional positive risk spillovers are strengthened markedly the risk spillovers may occur instantaneously and or with a long time delay both positive and negative risk spillover effects exhibit asymmetric correlations

connectedness of economic policy uncertainty and oil price shocks in a time domain perspective abstract in this paper we investigate causality and connectedness between economic policy uncertainty and oil price shocks across time scales by incorporating the wavelet approach into the structural vector autoregression var framework proposed by diebold and yilmaz 2009 2012 2014 we find that crude oil prices behave like receivers of information from economic policy uncertainty regardless of time scale however the causality relationship between economic policy uncertainty and oil price shocks intensifies as time scales increase in addition the connectedness relationship is robust to time scale changes whereas the causal relationship intensifies as time scales increase notably the weight of us economic policy uncertainty increases in the var system as time scales increase in particular we employ the west texas intermediate wti crude oil price as an alternative measure to increase the robustness of our results and identify differences in the var system overall the total connectedness of the wti crude oil price is lower than that of the brent crude oil price regardless of time scale our results provide meaningful information for both investors and policymakers

bi level game approaches for coordination of generation and transmission expansion planning within a market environment the main purpose of this paper is to develop methodologies for simultaneous generation and transmission expansion planning problem of power networks while investigating interactions between these two important sections in the proposed methodologies a transmission operator to operating under different incentives decides about investment in transmission network while anticipating the outcome of a purely competitive electricity market where several rival generation firms complete with each other to determine operating level of their generators amount of their sales and amount of their investment in generation capacity the proposed methodologies rely on bi level programming models whose upper level model represent the problem of investment in transmission by to and the lower level problems represent market outcomes obtained from clearing the market these bi level models are reduced to mixed integer linear and nonlinear programming using the duality theory and karush kuhn tucker kkt optimality conditions the results of the proposed models are analyzed and compared using two illustrative examples

a new approach to measuring financial contagion this article proposes a new approach to evaluate contagion in financial markets our measure of contagion captures the coincidence of extreme return shocks across countries within a region and across regions we characterize the extent of contagion its economic significance and its determinants using a multinomial logistic regression model applying our approach to daily returns of emerging markets during the 1990s we find that contagion is predictable and depends on regional interest rates exchange rate changes and conditional stock return volatility evidence that contagion is stronger for extreme negative returns than for extreme positive returns is mixed

foreign exchange market efficiency and cointegration in this note we examine an implication of the cointegration literature for the efficiency of foreign exchange markets in particular if foreign exchange markets are efficient then two spot exchange rates cannot be cointegrated this proposition is tested for 10 dollar bilateral exchange rates over the period january 1973 december 1985

analysing inflation by the fractionally integrated arfima garch model this paper considers the application of long memory processes to describing inflation for ten countries we implement a new procedure to obtain approximate maximum likelihood estimates of an arfima garch process which is fractionally integrated i d with a superimposed stationary arma component in its conditional mean additionally this long memory process is allowed to have garch type conditional heteroscedasticity on analysing monthly post world war ii cpi inflation for ten different countries we find strong evidence of long memory with mean reverting behaviour for all countries except japan which appears stationary for three high inflation economies there is evidence that the mean and volatility of inflation interact in a way that is consistent with the friedman hypothesis

correlations in price changes and volatility across international stock markets the short run interdependence of prices and price volatility across three major international stock markets is studied daily opening and closing prices of major stock indexes for the tokyo london and new york stock markets are examined the analysis utilizes the autoregressive conditionally heteroskedastic arch family of statistical models to explore these pricing relationships evidence of price volatility spillovers from new york to tokyo london to tokyo and new york to london is observed but no price volatility spillover effects in other directions are found for the pre october 1987 period article published by oxford university press on behalf of the society for financial studies in its journal the review of financial studies

an examination of the robustness of the weekend effect this paper analyzes the robustness of the day of the week dow and weekend effects to alternative estimation and testing procedures the results show that sample size can distort the interpretation of classical test statistics unless the significance level is adjusted down ward specification tests reveal widespread departures from ols assumptions hypothe sis tests results are reported using robust econometric methods and a garch model the strength of the dow and weekend effect evidence appears to depend on the estimation and testing method both effects seem to have disappeared by 1975

forecasting the conditional volatility of oil spot and futures prices with structural breaks and long memory models this paper extends previous studies by investigating the relevance of structural breaks and long memory in modeling and forecasting the conditional volatility of oil spot and futures prices using a variety of garch type models our results can be summarized as follows first we provide evidence of parameter instability in five out of nine garch based conditional volatility processes for energy prices second long memory is effectively present in all the series considered and a figarch model seems to better fit the data but the degree of volatility persistence diminishes significantly after adjusting for structural breaks finally the out of sample analysis shows that volatility models accommodating instability and long memory characteristics of the data provide the best volatility forecasts for most cases

the directional volatility connectedness between crude oil and equity markets new evidence from implied volatility indexes in this paper we use a set of newly introduced implied volatility indexes to investigate the directional connectedness between oil and equities in eleven major stock exchanges around the globe from 2008 to 2015 the inference on the oil equity implied volatility relationships depends on diebold and yilmaz 2012 2014 2015 who proposed a set of directional measures that enable the dynamic and directional characterization of the relationships among financial variables we find uniform results across the sample countries indicating that the connectedness between oil and equity is established by the bi directional information spillovers between the two markets however we find that the bulk of association is largely dominated by the transmissions from the oil market to equity markets and not the other way around the pattern of transmissions is varying over the sample period however most of the linkages between oil and equities are established from the mid of 2009 to the mid of 2012 which is a period that witnessed the start of global recovery

the economics of planning electricity transmission to accommodate renewables using two stage optimisation to evaluate flexibility and the cost of disregarding uncertainty abstract aggressive development of renewable electricity sources will require significant expansions in transmission infrastructure we present a stochastic two stage optimisation model that captures the multistage nature of transmission planning under uncertainty and use it to evaluate interregional grid reinforcements in great britain gb in our model a proactive transmission planner makes investment decisions in two time periods each time followed by a market response uncertainty is represented by economic technology and regulatory scenarios and first stage investments must be made before it is known which scenario will occur the model allows us to identify expected cost minimising first stage investments as well as estimate the value of information the cost of ignoring uncertainty and the value of flexibility our results show that ignoring risk in planning transmission for renewables has quantifiable economic consequences and that considering uncertainty can yield decisions that have lower expected costs than traditional deterministic planning methods in the gb case the value of information and cost of disregarding uncertainty in transmission planning were of the same order of magnitude approximately 100 m in present worth terms further the best plan under a risk neutral decision criterion can differ from the best under risk aversion finally a traditional sensitivity analysis based robustness analysis also yields different results than the stochastic model although the former s expected cost is not much higher

market based generation and transmission planning with uncertainties this paper presents a stochastic coordination of generation and transmission expansion planning model in a competitive electricity market the monte carlo simulation method is applied to consider random outages of generating units and transmission lines as well as inaccuracies in the long term load forecasting the scenario reduction technique is introduced for reducing the computational burden of a large number of planning scenarios the proposed model assumes a capacity payment mechanism and a joint energy and transmission market for investors costs recovery the proposed approach simulates the decision making behavior of individual market participants and the iso it is an iterative process for simulating the interactions among gencos transcos and iso the iterative process might be terminated by the iso based on a pre specified stopping criterion the case studies illustrate the applications of proposed stochastic method in a coordinated generation and transmission planning problem when considering uncertainties

where do all the windmills go influence of the institutional setting on the spatial distribution of renewable energy installation abstract promoting renewable energy sources is one policy response to climate change not only is there currently a debate over the best policy instrument it is also discussed whether the renewable energy production should be expanded centralized at locations with the highest production potential or decentralized close to load it is yet not fully understood what influences the spatial distribution of renewable energy installation i assess the effect of subsidy scheme and market design on the spatial distribution of wind energy installations by comparing a feed in tariffs versus market premiums and b uniform versus nodal pricing the analysis is based on theoretical considerations and using a six node test model that reflects the consumption and renewable resource distribution in several countries and regions the institutional setting has great influence on the spatial distribution and resulting system costs with uniform pricing a market premium only leads to a more decentralized expansion of renewable energy production than a tariff when sites share similar wind conditions spatially more distributed expansion of wind power performs better in terms of total costs and share of wind power in final demand when networks are restricted

a note on cointegration and international capital market efficiency abstract in a recent paper in the jimf crowder 1994 claims that evidence that spot exchange rates are cointegrated and forward premiums are non stationary implies international capital markets are not efficient this note argues that the cointegration properties of spot exchange rates are independent of the efficiency or inefficiency of financial markets

relationships between oil price shocks and stock market an empirical analysis from china this paper investigates the interactive relationships between oil price shocks and chinese stock market using multivariate vector auto regression oil price shocks do not show statistically significant impact on the real stock returns of most chinese stock market indices except for manufacturing index and some oil companies some important oil price shocks depress oil company stock prices increase in oil volatility may increase the speculations in mining index and petrochemicals index which raise their stock returns both the world oil price shocks and china oil price shocks can explain much more than interest rates for manufacturing index

the case of negative day ahead electricity prices in recent years germany has significantly increased its share of electricity produced from renewable sources which is mainly due to the renewable energy act eeg the eeg substantially impacts the dynamics of intra day electricity prices by increasing the likelihood of negative prices in this paper we present a non gaussian process to model german intra day electricity prices and propose an estimation procedure for this model most importantly our model is able to generate extreme positive and negative spikes a simulation study demonstrates the ability of our model to capture the characteristics of the data

renewable energy output co2 emissions and fossil fuel prices in central america evidence from a nonlinear panel smooth transition vector error correction model abstract this study examines the determinants of renewable energy consumption per capita for a panel of seven central american countries over the period 1980 to 2010 specifically we find that a long run cointegrated relationship exists between renewable energy consumption per capita real gdp per capita carbon emissions per capita real coal prices and real oil prices with the respective coefficients positive and statistically significant a structural break in the cointegrating relationship appears in 2002 which coincides with the establishment of the energy and environment partnership with central america initiative to expand the use of renewable energy sources recognizing the regime shift in 2002 we estimate a nonlinear panel smooth transition vector error correction model to show that for the post 2002 period the influence of renewable energy consumption per capita upon real coal and oil prices strengthened relative to the pre 2002 period as well as a greater sensitivity of real gdp per capita to carbon emissions per capita

the foreign exchange market efficiency hypothesis revisiting the puzzle abstract the engle granger bivariate strong form and the johansen juselius multivariate weak form cointegration tests are performed between the spot and forward rate series over multiple horizons to test the market efficiency hypothesis meh

an empirical model of daily highs and lows of west texas intermediate crude oil prices there is a large collection of literature on energy price forecasting but most studies typically use monthly average or close to close daily price data in practice the daily price range constructed from the daily high and low also contains useful information on price volatility and is used frequently in technical analysis the interaction between the daily high and low and the associated daily range has been examined in several recent studies on stock price and exchange rate forecasts the present paper adopts a similar approach to analyze the behaviour of the west texas intermediate wti crude oil price over a ten year period we find that daily highs and lows of the wti oil price are cointegrated with the error correction term being closely approximated by the daily price range two forecasting models one based on a vector error correction mechanism and the other based on a transfer function framework with the range taken as a driver variable are presented for forecasting the daily highs and lows the results show that both of these models offer significant advantages over the naive random walk and univariate arima models in terms of out of sample forecast accuracy a trading strategy that makes use of the daily high and low forecasts is further developed it is found that this strategy generally yields very reasonable trading returns over an evaluation period of about two years

transmission and wind power investment this paper jointly considers wind power investment and transmission reinforcement the proposed model is a mathematical program with equilibrium constraints mpec that seeks to identify the optimal wind projects to be developed and the required network reinforcements under the transmission system operator perspective this mpec seeks to minimize consumer payments and is constrained by investment conditions and the equilibria of the market under different operating conditions an array of subsidies is considered to promote independent wind power investment an example and two case studies illustrate the characteristics of the proposed model

cointegration based tests of daily foreign exchange market efficiency abstract an immediate implication of cointegration is the existence of granger causal orderings among cointegrated series this implies that asset prices determined in a weakly efficient market cannot be cointegrated this proposition is tested using daily data for 18 foreign currencies tests are conducted for both pairwise combinations of currencies and higher order systems no significant evidence of cointegration among exchange rates is found

market based coordination of transmission and generation capacity planning we propose an iso model for coordinating transmission expansion planning with competitive generation capacity planning in electricity markets the purpose of the model is a holistic simulation of generation and transmission capacity expansion in the market environment the solution represents an iterative process for simulating the interactions among gencos transcos and the iso which might be terminated by the iso based on a pre specified stopping criterion the proposed model adopts a joint energy and transmission auction market and a capacity mechanism the joint auction market enables competition to occur among generation and transmission resources the capacity mechanism offers incentives for market participant investments that reflect the locational values of additional capacity transmission capacity expansion decisions are made by merchant transmission lines that recover their capacity investments through transmission marginal pricing and capacity payments transmission network security is reflected in the proposed competitive resource planning model the examples illustrate a coordinated planning of generation and transmission in restructured power systems

wavelet based test of co movement and causality between oil and renewable energy stock prices abstract we studied co movement and causality between oil and renewable energy stock prices using continuous and discrete wavelets firstly to obtain information on dynamic correlations over time and for different time scales from wavelet coherence and secondly to obtain information on linear and non linear granger causality in the time frequency domain for general and sectoral renewable energy indices for the period 2006 2015 our findings indicate that dependence between oil and renewable energy returns in the short run was weak but gradually strengthened towards the long run mainly for the period 2008 2012 our causality tests provide evidence against linear causality at higher frequencies and in favour of unidirectional and bidirectional linear causality at lower frequencies in contrast we found consistent evidence of non linear causality running from renewable energy indices to oil prices at different time horizons and mixed evidence of causality running from oil to renewable energy prices these results have potential implications for investors in terms of hedging and for policymakers in terms of policy support decisions regarding the development of renewable energy

dynamic spillovers of oil price shocks and economic policy uncertainty this study examines the dynamic relationship between changes in oil prices and the economic policy uncertainty index for a sample of both net oil exporting and net oil importing countries over the period 1997 01 2013 06 to achieve that an extension of the diebold and yilmaz 2009 2012 dynamic spillover index based on structural decomposition is employed the results reveal that economic policy uncertainty oil price shocks responds negatively to aggregate demand oil price shocks economic policy uncertainty shocks furthermore during the great recession of 2007 2009 total spillovers increase considerably reaching unprecedented heights moreover in net terms economic policy uncertainty becomes the dominant transmitter of shocks between 1997 and 2009 while in the post 2009 period there is a significant role for supply side and oil specific demand shocks as net transmitters of spillover effects these results are important for policy makers as well as investors interested in the oil market

modeling renewable energy company risk abstract the renewable energy sector is one of the fastest growing components of the energy industry and along with this increased demand for renewable energy there has been an increase in investing and financing activities the tradeoff between risk and return in the renewable energy sector is however precarious renewable energy companies are often among the riskiest types of companies to invest in and for this reason it is necessary to have a good understanding of the risk factors this paper uses a variable beta model to investigate the determinants of renewable energy company risk the empirical results show that company sales growth has a negative impact on company risk while oil price increases have a positive impact on company risk when oil price returns are positive and moderate increases in sales growth can offset the impact of oil price returns and this leads to lower systematic risk

oil price shocks and stock markets in the u s and 13 european countries abstract oil price shocks have a statistically significant impact on real stock returns contemporaneously and or within the following month in the u s and 13 european countries over 1986 1 2005 12 norway as an oil exporter shows a statistically significantly positive response of real stock returns to an oil price increase the median result from variance decomposition analysis is that oil price shocks account for a statistically significant 6 of the volatility in real stock returns for many european countries but not for the u s increased volatility of oil prices significantly depresses real stock returns the contribution of oil price shocks to variability in real stock returns in the u s and most other countries is greater than that of interest rate an increase in real oil price is associated with a significant increase in the short term interest rate in the u s and eight out of 13 european countries within one or two months counter to findings for the u s and for norway there is little evidence of asymmetric effects on real stock returns of positive and negative oil price shocks for oil importing european countries

endogenous price zones and investment incentives in electricity markets an application of multilevel optimization with graph partitioning in the course of the energy transition load and supply centers are growing apart in electricity markets worldwide rendering regional price signals even more important to provide adequate locational investment incentives this paper focuses on electricity markets that operate under a zonal pricing market design for a fixed number of zones we endogenously derive the optimal configuration of price zones and available transfer capacities on a network in order to optimally govern investment and production decisions in the long run in a multilevel mixed integer nonlinear model that contains a graph partitioning problem on the first level we determine welfare maximizing price zones and available transfer capacities for a given electricity market and analyze their impact on market outcomes using a generalized benders decomposition approach developed in grimm et al 2019 and a problem tailored scenario clustering for reducing the input data size we are able to solve the model to global optimality even for large instances we apply the approach to the german electricity market as an example to examine the impact of optimal zoning on key performance indicators such as welfare generation mix and locations or electricity prices it turns out that even for a small number of price zones an optimal configuration of zones induces a welfare level that almost approaches the first best

market failures of market coupling and counter trading in europe an illustrative model based discussion the horizontal integration of the energy market and the organization of transmission services remain two open issues in the restructured european electricity sector the coupling of the french belgian and dutch electricity markets the trilateral market in november 2006 was a real success the extension of the system to germany in november 2010 also proceeded smoothly and the intent is to continue with the same market architecture but market coupling is based on a zonal system which has often failed in meshed grids this may cast doubts on what will happen in the future when electricity demand picks up again and wind develops the nodal system has generally been more successful than zonal architectures but its implementation is not currently foreseen in the eu this paper analyzes versions of market coupling that differ by the organization of counter trading while underplayed in current discussions counter trading could become a key element of market coupling as its geographic coverage expands and wind penetrates we simplify matters by assuming away strategic behavior between the energy and counter trading markets and conduct the analysis on a stylized six node example taken from the literature we simulate market coupling for different assumptions of zonal decomposition and coordination of transmission system operators tsos we show that these assumptions matter even in the absence of strategic behavior market coupling can be quite vulnerable to the particular situation on hand countertrading can work well or completely fail and it is not clear beforehand what will prevail our analysis relies on standard economic notions such as social welfare and generalized nash equilibrium but the use of these notions is probably novel the nodal organization is the reference first best scenario different zonal decompositions and degrees of coordination are then studied with respect to this first best solution

time and frequency dynamics of connectedness between renewable energy stocks and crude oil prices abstract this paper examines the time and frequency dynamics of connectedness among stock prices of u s clean energy companies crude oil prices and a number of key financial variables using the methodology developed by barunik and krehlik 2018 this approach allows measuring the dynamics of return and volatility connectedness over time and across frequencies simultaneously the empirical results show that most of return and volatility connectedness is generated in the very short term i e movements up to five days while the long term plays a minor role our analysis further reveals a greater degree of interconnectedness across crude oil and financial markets since the onset of the u s subprime mortgage crisis in summer of 2007 consistent with the view of a global re pricing of risk triggered by the recent worldwide financial crisis crude oil prices do not appear as a key driver of the stock market performance of renewable energy companies in the short term or the long term which suggests a decoupling of the alternative energy industry from the traditional energy market moreover crude oil prices are a net receiver of financial shocks supporting the financialization of the commodity markets since the early 2000s in addition a significant pairwise connectedness is found mainly in the short term between clean energy and technology stock prices indicating that these two types of stocks are perceived by investors as similar assets these results can have important practical implications for investors and policy makers with different time horizons

renewable energy consumption co2 emissions and oil prices in the g7 countries abstract economic and societal issues related to energy security and global warming is placing greater emphasis on the consumption of renewable energy this paper presents and estimates an empirical model of renewable energy consumption for the g7 countries panel cointegration estimates show that in the long term increases in real gdp per capita and co2 per capita are found to be major drivers behind per capita renewable energy consumption these results are robust across two different panel cointegration estimators oil price increases have a smaller although negative impact on renewable energy consumption deviations from equilibrium are driven mostly by the error correction term as opposed to short term shocks short term deviations from the long term equilibrium take anywhere from between 1 3 years france and 7 3 years japan to correct

measuring financial asset return and volatility spillovers with application to global equity markets we provide a simple and intuitive measure of interdependence of asset returns and or volatilities in particular we formulate and examine precise and separate measures of return spillovers and volatility spillovers our framework facilitates study of both non crisis and crisis episodes including trends and bursts in spillovers and both turn out to be empirically important in particular in an analysis of sixteen global equity markets from the early 1990s to the present we find striking evidence of divergent behavior in the dynamics of return spillovers vs volatility spillovers return spillovers display a gently increasing trend but no bursts whereas volatility spillovers display no trend but clear bursts

dynamic spillovers between oil and stock markets in the gulf cooperation council countries this article exploits a new spillover directional measure proposed by diebold and yilmaz 2009 2012 to investigate the dynamic spillover of return and volatility between oil and equities in the gulf cooperation council countries during the period 2004 to 2012 our results indicate that return and volatility transmissions are bi directional albeit asymmetric in particular the oil market gives other markets more than it receives in terms of both returns and volatilities these trends were more pronounced in the aftermath of the global financial crisis in 2008 as the net contribution of oil has intensified after a burst during the crisis the empirical evidence from the sample is consistent with a system in which oil is playing the dominant role in the information transmission mechanism between oil and equities in the gcc countries

crude oil and stock markets stability instability and bubbles abstract we analyze the long run relationship between the world price of crude oil and international stock markets over 1971 1 2008 3 using a cointegrated vector error correction model with additional regressors allowing for endogenously identified breaks in the cointegrating and error correction matrices we find evidence for breaks after 1980 5 1988 1 and 1999 9 there is a clear long run relationship between these series for six oecd countries for 1971 1 1980 5 and 1988 2 1999 9 suggesting that stock market indices respond negatively to increases in the oil price in the long run during 1980 6 1988 1 we find relationships that are not statistically significantly different from either zero or from the relationships of the previous period the expected negative long run relationship appears to disintegrate after 1999 9 this finding supports a conjecture of change in the relationship between real oil price and real stock prices in the last decade compared to earlier years which may suggest the presence of several stock market bubbles and or oil price bubbles since the turn of the century

correlations and volatility spillovers between oil prices and the stock prices of clean energy and technology companies abstract in this paper multivariate garch models are used to model conditional correlations and to analyze the volatility spillovers between oil prices and the stock prices of clean energy companies and technology companies four different multivariate garch models bekk diagonal constant conditional correlation and dynamic conditional correlation are compared and contrasted the dynamic conditional correlation model is found to fit the data the best and generates results showing that the stock prices of clean energy companies correlate more highly with technology stock prices than with oil prices on average a 1 long position in clean energy companies can be hedged for 20 cents with a short position in the crude oil futures market

are foreign exchange markets really efficient asset prices determined in a weakly efficient market cannot be cointegrated because cointegration implies a granger causal link however strong evidence of cointegration in currency markets is found using johansen s multivariate procedure on london daily closing rates for the six major currencies in dollar terms an error correction based trading model is implemented

risk premia in the german day ahead electricity market revisited the impact of negative prices abstract this paper replicates the study by viehmann 2011 that investigated risk premia in the german day ahead electricity market from october 2005 to september 2008 while estimated sizes of risk premia can be replicated this paper does not reproduce respective standard errors leading to remarkable differences between the reported significance levels an extension with data of preceding years points to further differences with respect to size and statistical significance in addition this paper analyzes the impact of negative prices on risk premia negative electricity prices were introduced in 2008 at the european power exchange epex and in 2013 at the energy exchange austria exaa the results of an econometric analysis suggest that the introduction of negative prices has led to a decrease in risk premia when compared to the period of a positive price regime

national strategic investment in european power transmission capacity abstract the transformation of the european electricity system requires substantial investment in transmission capacity to facilitate cross border trade and to efficiently integrate renewable energy sources however network planning in the eu is still mainly a national prerogative in contrast to other studies aiming to identify the pan european continental welfare optimal transmission expansion we investigate the impact of zonal planners deciding on network investment strategically with the aim of maximizing the sum of consumer surplus generator profits and congestion rents in their jurisdiction this reflects the inadequacy of current mechanisms to compensate for welfare re allocations across national boundaries arising from network upgrades we propose a three stage equilibrium model to describe the nash game between zonal planners i e national governments regulators or system operators each taking into account the impact of network expansion on the electricity spot market and the resulting welfare effects on the constituents within its jurisdiction we propose a novel way to solve the resulting gne epec type problem using a variation of a disjunctive constraints reformulation this allows to solve this problem without a priori assumptions on the relative valuation of shared constraints by each player using a four node sample network we identify several nash equilibria of the game between the zonal planners this example illustrates the failure to reach the first best welfare expansion in the absence of an effective framework for cross border cost benefit allocation

oil volatility oil and gas firms and portfolio diversification abstract this paper investigates the volatility spillovers and co movements among oil prices and stock prices of major oil and gas corporations over the period between 18th june 2001 and 1st february 2016 to do so we use the spillover index approach by diebold and yilmaz 2009 2012 2014 2015 and the dynamic correlation coefficient model of engle 2002 so as to identify the transmission mechanisms of volatility shocks and the contagion of volatility among oil prices and stock prices of oil and gas companies respectively given that volatility transmission across oil and major oil and gas corporations is important for portfolio diversification and risk management we also examine optimal weights and hedge ratios among the aforementioned series our results point to the existence of significant volatility spillover effects among oil and oil and gas companies stock volatility however the spillover is usually unidirectional from oil and gas companies stock volatility to oil volatility with bp chevron exxon shell and total being the major net transmitters of volatility to oil markets conditional correlations are positive and time varying with those between each of the aforementioned companies and oil being the highest finally the diversification benefits and hedging effectiveness based on our results are discussed

common cycles and common trends in the stock and oil markets evidence from more than 150 years of data abstract this paper investigates the role of permanent and transitory shocks within the framework of common cycles and common trends in explaining stock and oil prices we perform a multivariate variance decomposition analysis of monthly data on the west texas intermediate wti oil price and the s p 500 the dataset used in the study spans a long period of 150 years and therefore contains a rich history to examine both the short and long run comovement properties of oil and stock prices given that the oil and stock markets might comove both in the short and long run it is of interest to see the relative impacts of transitory and permanent shocks on both variables we find that log oil price and log s p 500 share a common stochastic trend for our full sample of september 1859 to july 2015 but a common cycle only exists during the post ww ii period full and post ww ii samples have quite different common feature estimates in terms of the impact of permanent and transitory shocks as measured by the impulse responses and forecast error variance decompositions we also find that in the short run oil is driven mostly by cycles transitory shocks and stock market is mostly driven by permanent shocks but permanent shocks dominate in the long run

testing the hypothesis of market efficiency in the taiwan us forward exchange market since 1990 this article examines the applicability of the hypothesis of market efficiency in taiwan s foreign exchange market using daily data instead of linear regression based models we consider the possibility that the true data generating process may come from two different distributions and we employ the markov switching approach to analyse this from the results of the two state markov switching model we define state 1 as the efficient state and state 2 as the inefficient one only the 30 day forward rate is able to differentiate between the two states based on the unconditional probabilities from the markov switching model we also find that the 30 day forward rate has a 70 probability in the efficient state which indicates that 70 of all speculators fully extract information when predicting future spot rates while 30 of all investors do not

stock prices of clean energy firms oil and carbon markets a vector autoregressive analysis recent discussions of energy security and climate change have attracted significant attention to clean energy we hypothesize that rising prices of conventional energy and or placement of a price on carbon emissions would encourage investments in clean energy firms the data from three clean energy indices show that oil prices and technology stock prices separately affect the stock prices of clean energy firms however the data fail to demonstrate a significant relationship between carbon prices and the stock prices of the firms

measuring bilateral spillover and testing contagion on sovereign bond markets in europe abstract the global financial crisis rapidly spread across borders and financial markets and also distressed eu bond markets the crisis did not hit all markets in the same way we measure the strength and direction of linkages between 16 eu sovereign bond markets using a factor augmented version of the var model in diebold and yilmaz 2009 we then provide a novel test for contagion by applying the multivariate structural break test of qu and perron 2007 on this favar detecting significant sudden changes in shock transmission results indicate substantial spillover especially between emu countries with belgium italy and spain being key markets during the financial crisis contagion has been a rather rare phenomenon limited to a few well defined moments of uncertainty on financial assistance packages for greece ireland and portugal most of the frequent surges in market co movement are driven by larger shocks rather than by contagion

transmission and generation investment in electricity markets the effects of market splitting and network fee regimes abstract we propose an equilibrium model that allows to analyze the long run impact of the electricity market design on transmission line expansion by the regulator and investment in generation capacity by private firms in liberalized electricity markets the model incorporates investment decisions of the transmission system operator and private firms in expectation of an energy only market and cost based redispatch in different specifications we consider the cases of one vs multiple price zones market splitting and analyze different approaches to recover network cost in particular lump sum generation capacity based and energy based fees in order to compare the outcomes of our multilevel market model with a first best benchmark we also solve the corresponding integrated planner problem using two test networks we illustrate that energy only markets can lead to suboptimal locational decisions for generation capacity and thus imply excessive network expansion market splitting heals these problems only partially these results are valid for all considered types of network tariffs although investment slightly differs across those regimes

market design and investment incentives the purpose of this study was to understand how market design affects market performance through its impact on investment incentives for this purpose we model capacity choices by two ex ante identical firms which compete in the product market we analyse a number of different market design elements including i two commonly used auction formats the uniform price and discriminatory auctions ii price caps and iii bid duration we find that although the discriminatory auction tends to lower prices this does not imply that investment incentives at the margin are poorer indeed aggregate capacity is the same under both auction formats

does comovement among exchange rates imply market inefficiency abstract this paper argues that contrary to what has been reported in the empirical literature previously cointegration between pairs of exchange rates does not necessarily rule out informational efficiency in currency markets the basic reason is that market efficiency does not rule out predictable exchange rate movements but only rules out arbitrage opportunities from predictable exchange rate movements as the usual parity conditions dictate

2014 oil plunge causes and impacts on renewable energy abstract following four years of relative stability at around 106 per barrel bbl oil prices have declined sharply since june 2014 and are expected to remain low for a considerable period of time there are multiple factors which are being considered behind the plunge in the price of oil since june 2014 most observers have conjectured that domestic oil boom in the united states and iraq is the major cause for the falling oil prices some have suggested that a major shock to oil price expectations occurred after the november 2014 meeting of opec when they did not cut production despite the steady increase in non opec oil production in this paper first we analyzed the effect of various factors on the oil prices and then we studied impacts of the falling oil prices on non hydro renewable energy we compare the recent decline in oil prices with previous episodes up to 1996 we show that the demand and supply formula cannot be implemented to the current oil plunge the study shows that so far the recent plunge in oil prices has produced no major impact on renewable energy sector we found that renewable energies such as solar and wind are increasingly becoming cost competitive with fossil fuel energy however the oil price crash could hurt the short term outlook for certain specific clean energy technologies such as bio fuel and electric vehicles that do compete with oil based transportation while long term low oil prices may threaten renewable energies climate policies have the potential to act as a counterweight encouraging long term low carbon investment

do generation firms in restructured electricity markets have incentives to support social welfare improving transmission investments this paper examines the incentives that generation firms have in restructured electricity markets for supporting long term transmission investments in particular we study whether generation firms which arguably play a dominant role in the restructured electricity markets have the incentives to fund or support incremental social welfare improving transmission investments we examine this question in a two node network and explore how such incentives are affected by the ownership of financial transmission rights ftrs by generation firms in the analyzed two node network we show both i that the net exporter generation firm has the correct incentives to increase the transmission capacity incrementally up to a certain level and ii that although a policy that allocates ftrs to the net exporter generation firm can be desirable from a social point of view such a policy would dilute the net importer generation firm s incentives to support transmission expansion moreover if all ftrs were allocated or auctioned off to the net exporter generation firm then it is possible to increase both consumer surplus and social welfare while keeping the net exporter generation firm revenue neutral

is there dependence and systemic risk between oil and renewable energy stock prices abstract we study systemic risk and dependence between oil and renewable energy markets using copulas to characterize the dependence structure and to compute the conditional value at risk as a measure of systemic risk we found significant time varying average and symmetric tail dependence between oil returns and several global and sectoral renewable energy indices our evidence on systemic risk indicates that oil price dynamics significantly contributes around 30 to downside and upside risk of renewable energy companies these results have important implications for risk management and renewable energy policies

co movements and spillovers of oil and renewable firms under extreme conditions new evidence from negative wti prices during covid 19 we test for the existence of volatility spillovers and co movements among energy focused corporations during the outbreak of the covid 19 pandemic inclusive of the april 2020 events where west texas intermediate wti oil future prices became negative employing the spillover index approach of diebold and yilmaz 2012 as well as developing a dcc figarch conditional correlation framework and using estimated spillover indices built on a generalised vector autoregressive framework in which forecast error variance decompositions are invariant to the variable ordering we examine the sectoral transmission mechanisms of volatility shocks and contagion throughout the energy sector among several results we find positive and economically meaningful spillovers from falling oil prices to both renewable energy and coal markets however this result is only found for the narrow portion of our sample surrounding the negative wti event we interpret our results being directly attributed to a sharp drop in global oil gas and coal demand rather than because of a sudden increase in oil supply while investors observed the us fracking industry losing market share to coal they also viewed renewables as more reliable mechanism to generate long term stable and low cost supply

the eu regulation on cross border trade of electricity a two stage equilibrium model the regulation on cross border exchanges of electricity in the european union is meant to enhance the trade of electricity between member states by facilitating access to the network and improving the management of congestion at the interconnections this paper presents a computational model that embeds these two features the problem is cast in the form of a two stage equilibrium between regional regulators in the first stage they decide on the allocation of their regional network costs between generators and customers either they maximise their regional welfare non cooperatively nash equilibrium or they centralise the decision as a super regulator leading to a cooperative equilibrium in the second stage equilibrium the consequences of first stage s decisions are assessed by modelling the energy market as the result of imperfect competition equilibrium on competitive market coupled with regulated pricing on the domestic less competitive markets the rules that come out of the first stage game largely influence the final equilibrium we illustrate this on an extensive numerical example showing that the model behaves properly and identifying policy issues worth of further investigations c 2006 elsevier b v all rights reserved

oil price shocks and transportation firm asset prices abstract the transportation sector is a major user of oil based energy even as oil prices continue to fluctuate greatly the impact of oil price changes on transportation firms has heretofore not been adequately examined this paper fills this gap documenting important new findings based on analysis of over two decades of daily data on large changes in oil prices oil price shocks first while transportation firm returns are influenced negatively by oil price increases risks are increased more by oil price declines second firm characteristics are important with the market to book ratio being the most important firm characteristic and roa firm size and the prior run up in prices are also important in influencing oil price related returns betas variances and trading volumes third in the s p transportation sub sector industry concentration is negatively related to returns oil price risk and trading volume and asymmetrically related to returns and market betas these new findings enhance our understanding of the asset price impact of oil price shocks and should be of much interest to scholars corporate executives money managers regulators and policy makers

option valuation with co integrated asset prices abstract this paper investigates theoretical and practical aspects of options that are based upon two or more assets which are co integrated for this purpose a new discrete time model of asset prices is developed a model featuring both the co integration property as well as stochastic volatilities using a garch equilibrium based option pricing approach it is shown that when volatilities are deterministic the option prices do not depend on the co integration parameters except for the mis specification effect as to the manner in which the volatilities are estimated however with stochastic volatilities the option prices explicitly depend upon the co integration parameters in order to understand these results better this paper also examines a continuous time diffusion limit of the asset price system and empirically studies the co integration effect using spread options based upon the s p500 and the nasdaq100 these numerical results suggest that consideration of co integration can substantially alter the value delta and vega of a spread option