causalities between co2 electricity and other energy variables during phase i and phase ii of the eu ets the topic of this article is the analysis of the interplay between daily carbon electricity and gas price data with the european union emission trading system eu ets for co2 emissions in a first step we have performed granger causality tests for phase i of the eu ets january 2005 until december 2007 and the first year of phase ii of the eu ets 2008 the analysis includes both spot and forward markets given the close interactions between the two sets of markets the results show that during phase i coal and gas prices through the clean dark and spark spread impacted co2 futures prices which in return granger caused electricity prices during the first year of the phase ii the short run rent capture theory in which electricity prices granger cause co2 prices prevailed on the basis of the qualitative results of the granger causality tests we obtained the formulation testable equations for quantitative analysis standard ols regressions yielded statistically robust and theoretically coherent results

price determination in the eu ets market theory and econometric analysis with market fundamentals abstract we investigate the price determination of the european union emission allowance eua of the european union emissions trading scheme eu ets we postulate an uncertain permit price and risk averse firms which have the possibility to hedge in the forward market the firms produce final goods abate their emissions and trade permits in the permit market the dependence of the equilibrium permit price on exogenous variables is studied in a permit market model we test our theoretical findings with empirical data from 2005 to 2010 in the eu ets market we use daily forward prices of eua as our dependent variable we use several econometric models with multiple stationary time series to discover that there is a strong relationship between the fundamentals such as german electricity prices and gas and coal prices with the price of eua we find that the eua forward price depends on fundamentals especially on the price of electricity as well as on the gas coal difference in a statistically significant way

credit and market risks measurement in carbon financing for chinese banks abstract this paper concerns the risk analysis of six chinese banks which are involved in carbon financing factor copula is introduced to simulate the corresponding carbon finance credit risk and market risk by latent variables in an indirect method in short the four common factors in carbon financing exchange rates interest rates cer price and brent oil prices are analyzed and explored in factor copula approach that incorporates kmv garch models in two steps the kmv and garch models are used to generate data that reflects the overall credit and market risk associated with each bank both normal copula and t copula functions are used to simulate the parameter estimations for comparison in a new way the value at risk for each of the six banks is calculated through a monte carlo simulation and compared additionally we calculate shock estimates for each factor to explore the changes in both credit risk and market risk given economic shocks also make a hypothetical analysis of the impact of the financial crisis on common factors overall our findings reveal that exchange rates and oil prices are the key factors to consider in carbon financing ping an bank is facing the most risk of all the banks in the sample while the industrial and commercial bank of china is carrying the least risk the results of this analysis gave provide some insight into domestic carbon trading and carbon markets connectivity

returns to rural electrification evidence from bhutan abstract rural electrification re is a core component of the sustainable development goals and a major focal point of the global development community despite this focus more than one billion people worldwide lack access to electricity and electrification rates need to more than quadruple to meet international goals we believe that lack of progress is partly driven by a know do gap a misalignment between academic research and the information needs of policy makers most studies measuring the impacts of electrification focus on precise estimation of a few outcomes specifically health education and productivity impacts other important impacts e g environmental have remained largely unstudied as a consequence quantifying the full set of costs and benefits of expanding electricity access is difficult and rarely done when cost benefit analyses are done they are often incomplete and conclusions are highly susceptible to unavailable or uncertain parameters we illustrate these arguments in the case of bhutan where re rates have expanded rapidly in the past few decades we show that re via grid extension had positive impacts related to fuelwood consumption education and employment but we do not find an effect on health we then use these impact estimates to conduct cost benefit analyses for the cost benefit parameters not available from our impact evaluation we transfer reasonable estimates from related contexts to acknowledge the uncertainty induced by this process we conduct monte carlo analyses and confirm that while the private npv calculations are robust to alternative parameter values the social returns are sensitive to estimates of the social cost of carbon and costs of grid operation and maintenance based on this exercise we highlight research gaps that persist and that preclude 1 careful cost benefit analysis of re more generally and 2 financial investment in the sector

price discovery and volatility spillovers in the european union emissions trading scheme a high frequency analysis abstract this paper models the relationship of european union allowance spot and futures prices within the second commitment period of the european union emissions trading scheme based on high frequency data we analyze the transmission of information in first and second conditional moments to reveal long run price discovery we compute common factor weights of schwarz and szakmary 1994 and information shares of hasbrouck 1995 based on estimated coefficients of a vecm to analyze the short run dynamics we perform granger causality tests we identify the futures market to be the leader of the long run price discovery process whereas the informational role of the futures market increases over time in addition we employ a version of the ueccc garch model as introduced by conrad and karanasos 2010 to analyze the volatility transmission structure the volatility analysis indicates a close relationship between the volatility dynamics of both markets whereas in particular we observe spillovers from the futures to the spot market as a whole the investigation reveals that the futures market incorporates information first and then transfers the information to the spot market

the relationships between cdm project characteristics and cer market prices this study explores the relationship between key characteristics of clean development mechanism cdm projects and certified emission reduction cer prices using multiple correspondence analysis we show that the cer credit prices are likely to have had a greater influence than regional levels of economic development on the sectors regions and sizes of cdm projects there are comparatively few cdm projects in sub saharan africa less south africa and the small scale forestation projects that are characteristic for the region mainly entered the cdm pipeline when cer credit price levels were high latin america hosts a larger number of projects and the small scale methane biofuel and hydro projects that are typical for this region generally also applied for validation under high cer price levels the large industrial gas and energy efficiency projects typical for the middle east northern africa region appear to have been largely insensitive to cer price levels the large number and variety of projects in asia have applied for registration under a broad range of cer price levels

price drivers and structural breaks in european carbon prices 2005 2007 this article aims at characterizing the daily price fundamentals of european union allowances euas traded since 2005 as part of the emissions trading scheme ets the presence of two structural changes on april 2006 following the disclosure of 2005 verified emissions and on october 2006 following the european commission announcement of stricter phase ii allocation allows to isolate distinct fundamentals evolving overtime the results extend previous literature by showing that eua spot prices react not only to energy prices with forecast errors but also to unanticipated temperatures changes during colder events besides the sub period decomposition of the pilot phase gives a better grasp of institutional and market events that drive allowance price changes

risk transmission mechanism between energy markets a var for var approach abstract the global financial crisis gfc of 2007 2009 that originated in the us has revealed the need for measuring and monitoring the transmission of extreme downside market risk this paper investigates the risk transmission mechanism between the oil and natural gas markets we apply the recently introduced test statistics based on cross quantilogram function and the multivariate quantile regression model var for var to the us oil and natural gas prices which are independently formed our results show two asymmetric patterns first the shocks in the oil market substantially increase the value at risk var in the natural gas market but the reverse impact does not exist second we highlight the significant asymmetric response of gains and losses transmission in energy markets cautioning about the underlying weakness of adopting volatility to measure risk in the energy market moreover an extreme market risk is more easily transmitted across markets than moderate risks our results are in general robust in application to other regional energy markets such as europe and asia but the heterogeneities in responses are underpinned by the different role of natural gas in regions the findings in this paper have important implications for academic researchers policy makers in gas dependent economies and business practitioners in light of projected increases in the use of natural gas worldwide as well as the development of independent gas on gas competitive hub prices in asia and europe

an emerging equilibrium in the eu emissions trading scheme abstract the european union s emissions trading scheme ets is the key policy instrument of the european commission s climate change program aimed at reducing greenhouse gas emissions to eight percent below 1990 levels by 2012 a critically important element of the eu ets is the establishment of a market determined price for eu allowances this article examines the extent to which several theoretically founded factors including economic growth energy prices and weather conditions determine the expected prices of the european union co 2 allowances during the 2005 through to the 2009 period the novel aspect of our study is that we examine heavily traded futures instruments that have an expiry date in phase 2 of the eu ets our study adopts both static and recursive versions of the johansen multivariate cointegration likelihood ratio test as well as a variation on this test with a view to controlling for time varying volatility effects our results are indicative of a new pricing regime emerging in phase 2 and point to a maturing market driven by the fundamentals these results are valuable both for traders of eu allowances and for those policy makers seeking to improve the design of the european union ets

dynamic multiscale interactions between european carbon and electricity markets during 2005 2016 this study explores the dynamic multiscale interactions between carbon and electricity markets during phases i 2005 2007 ii 2008 2012 and ongoing iii 2013 2016 by introducing the bivariate empirical mode decomposition bemd linear and nonlinear granger causality tests firstly bemd is used to decompose the european carbon and electricity prices into several pairs of simple modes with different timescales secondly causality tests are performed at each pair of modes with a similar timescale significant but asymmetric causalities can be found that the bidirectional linear causality turns to a unidirectional one running from the electricity price to the carbon price from phase i to phase iii whereas the nonlinear interaction enhances from insignificance to significance during the three phases the causality at short timescale is consistent with that of the original data while the causalities at mid and long timescales are more diversified the findings obtained show that the effect of carbon market on the electricity market is weakening which indicates that it is needed to increase its efficiency by raising the carbon price moreover a dynamic adjusting mechanism of emission allowances will be called for as well as the guidance aimed at different timescales in the future

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

a multiscale analysis for carbon price drivers abstract this study proposes a multiscale analysis model to explore and identify the carbon price drivers at different timescales by introducing the latest multivariate empirical mode decomposition carbon price and its potential drivers are decomposed into several groups of simple modes with specific economic meanings the cointegration techniques error correction model and newey west estimator are combined to capture the carbon price drivers at similar timescales illustrated by the samples of the european union emissions trading system from 2009 to 2016 a few interesting results can be found that at the original data level among the three most important drivers of carbon price electricity price and stock index show positive impacts while coal price shows a negative impact at different timescales the effects of electricity and stock index appear comparatively earlier which drive carbon price from the short timescales and continue to strengthen however the impacts of coal oil and gas prices are lagging behind which respectively drive the carbon price at the medium and long timescales

carbon price drivers phase i versus phase ii equilibrium abstract the aim of this paper is to investigate the determinants of the carbon price during the two phases of the european union emission trading scheme eu ets more specifically relying on daily eu allowance futures contracts we test whether the carbon price drivers identified for phase i still hold for phase ii and evolve toward a long run relationship using cointegration techniques and accounting for the 2006 structural break in the carbon market we show that while a cointegrating relationship exists for both phases of the eu ets the nature of this equilibrium relationship is different across the two subperiods with an increasing role of fundamentals in phase ii deriving equilibrium values we show that the carbon price tends to be undervalued since the end of 2009

regime switching correlation hedging this paper investigates the hedging effectiveness of commodity futures when the correlations of spot and futures returns are subject to multi state regime shifts an independent switching dynamic conditional correlation garch is dcc which is free from the problems of path dependency and recombining is applied to model multi regime switching correlations the results of hedging exercises indicate that state dependent is dcc outperforms state independent dcc garch and three state is dcc exhibits superior hedging effectiveness illustrating importance of modeling higher state switching correlations for dynamic futures hedging

life cycle labour supply with human capital econometric and behavioural implications i examine econometric and behavioural implications of including human capital in the life cycle labour supply model with human capital the wage is no longer the price of time which is instead the wage plus returns to work experience this has important implications first labour supply elasticities become functions of both preference and wage process parameters one cannot estimate them separately second the data appear consistent with larger elasticities than prior work suggests third contrary to conventional wisdom permanent tax changes can have larger effects on current labour supply than temporary changes fourth effects of permanent tax changes grow over time

multivariate dependence and spillover effects across energy commodities and diversification potentials of carbon assets abstract in a first step we model the multivariate tail dependence structure and spillover effects across energy commodities such as crude oil natural gas ethanol heating oil coal and gasoline using canonical vine c vine copula and c vine conditional value at risk covar in the second step we formulate portfolio strategies based on different performance measures to analyze the risk reduction and diversification potential of carbon assets for energy commodities we identify greater exposure to losses arising from investments in heating oil and ethanol markets we also find evidence of carbon asset providing diversification benefits to energy commodity investments these findings motivate for regulatory adjustments in the trading and emission permits for the energy markets most strongly diversified by carbon assets

modelling the price spread between eua and cer carbon prices abstract this paper identifies factors impacting on the dynamics of the price spread between european allowances euas and certified emission reductions cers by detecting changes in the structural relationship between them while prior studies have assumed a fixed structural relationship this paper analyses the dynamic evolution of the price spread by employing a time varying parameter analysis using daily data from march 2008 to september 2011 the analysis reveals that a lack of competitive conditions in markets access constraints on the use and the availability of cers regulatory changes regarding both euas and cers and uncertainty surrounding cers can explain a significant portion of the price spread

the minimum cvar strategy with semi parametric estimation in carbon market hedging problems abstract effective hedging strategies are important in reducing price volatility risk for business investors and companies participating into carbon markets in this paper we investigate the risk triggered by price fluctuation of european union allowance eua a semi parametric approach with cornish fisher expansion which approximates the quantile using the higher moments of the distribution is provided to estimate hedging ratios using cvar as risk objective function the approach can successfully capture the features of higher moments with the heavy tailed and higher kurtosis distribution of the eua returns which tends to be neglected the hedging performances of minimum cvar model we proposed and the conventional minimum variance model are evaluated and compared our empirical results show that minimum cvar hedging strategy generally outperforms the other in sample using all the effectiveness criteria while it is not consistent out of sample the proposed semi parametric minimum cvar strategy with cornish fisher expansion is advisable in carbon market hedging problems

factors affecting the carbon allowance market in the us the us carbon allowance market has different characteristic and price determination process from the eu ets market since emitting installations voluntarily participate in emission trading scheme this paper examines factors affecting the us carbon allowance market an autoregressive distributed lag model is used to examine the short and long run relationships between the us carbon allowance market and its determinant factors in the long run the price of coal is a main factor in the determination of carbon allowance trading in the short run on the other hand the changes in crude oil and natural gas prices as well as coal price have significant effects on carbon allowance market

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

risk spillovers across the energy and carbon markets and hedging strategies for carbon risk this study examines the risk spillovers between energy futures prices and europe based carbon futures contracts we use a markov regime switching dynamic correlation generalized autoregressive conditional heteroscedasticity ms dcc garch model in order to capture the time variations and structural breaks in the spillovers we further evaluate the optimal weights hedging effectiveness and dynamic hedging strategies for the ms dcc garch model based on both the regime dependent and regime independent optimal hedge ratios we finally complement our analysis by examining the in and out of sample hedging performances for alternative strategies our results mainly show significant volatility and time varying risk transmission from energy markets to carbon market we also find that spot and futures segments of the emission markets exhibit time varying correlations and volatile hedging effectiveness the subsample estimates show significant changes in the hedge effectiveness over the different phases of the european carbon market these results have important investment and policy implications

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

a markov model of switching regime arch in this article i present a new approach to model more realistically the variability of financial time series i develop a markov arch model that incorporates the features of both hamilton s switching regime model and engle s autoregressive conditional heteroscedasticity arch model to examine the issue of volatility persistence in the monthly excess returns of the three month treasury bill the issue can be resolved by taking into account occasional shifts in the asymptotic variance of the markov arch process that cause the spurious persistence of the volatility process i identify two periods during which there is a regime shift the 1974 2 1974 8 period associated with the oil shock and the 1979 9 1982 8 period associated with the federal reserve s policy change the variance approached asymptotically in these two episodes is more than 10 times as high as the asymptotic variance for the remainder of the sample i conclude that regime shifts have a greater impact on the properties of the data and i ca

integration of the global carbon markets abstract this paper analyzes the market architecture and common factors of emission reduction instruments in europe and north america spot and futures prices across exchanges in europe are cointegrated but the futures curve beyond the calendar year evolves independently despite narrower spreads political uncertainties about the clean development mechanism have kept eua and cer prices from converging rggi allowances share a common trend with eua and the european markets adjust to the u s price trend a 0 10 shock to rggi prices leads to a one month 0 64 cumulative increase in eua prices the introduction of cap and trade legislation in the u s has broken a cointegrating relationship in voluntary prices voluntary instruments that are convertible into mandatory allowances imply less than a 20 probability of price convergence between the u s and europe by 2013

asymmetric risk spillover between financial market uncertainty and the carbon market a gas dcs copula approach abstract a thorough understanding the asymmetry in risk transferring mechanisms remains a challenge in the carbon market through the incorporation of the asymmetric tail distribution into the risk transferring mechanism the asymmetric response of the carbon market to financial market uncertainties can be explored herein we propose a generalized autoregressive score dynamic conditional score copula model to investigate the asymmetric risk spillover between financial market uncertainty and the carbon market we discover the existence of considerable asymmetric risk spillover from financial market uncertainty to the carbon market specifically the upper tail risk spillover effect is greater than the lower tail risk spillover effect the degree of risk spillover reached a peak during the european debt crisis also higher degrees of financial market uncertainty and especially uncertainty from the crude oil market cause a greater risk spillover to the carbon market than lower degrees of financial market uncertainty do in addition we discover that stock market uncertainty exhibits greater power than crude oil market uncertainty in transferring risk to the carbon market when systemic events occur our research provides meaningful information to investors and policy makers

revisiting the environmental kuznets curve in a global economy the present study deals with an empirical investigation between co2 emissions energy intensity economic growth and globalization using annual data over the period of 1970 2010 for turkish economy we applied unit root test and cointegration approach in the presence of structural breaks the direction of causality between the variables is investigated by applying the vecm granger causality approach our results confirmed the existence of cointegration between the series the empirical evidence reported that energy intensity and economic growth globalization increase condense co2 emissions the results also validated the presence of environmental kuznets curve ekc the causality analysis shows bidirectional causality between economic growth and co2 emissions this implies that economic growth can be boosted at the cost of environment

modeling asymmetric comovements of asset returns existing time varying covariance models usually impose strong restrictions on how past shocks affect the forecasted covariance matrix in this article we compare the restrictions imposed by the four most popular multivariate garch models and introduce a set of robust conditional moment tests to detect misspecification we demonstrate that the choice of a multivariate volatility model can lead to substantially different conclusions in any application that involves forecasting dynamic covariance matrices like estimating the optimal hedge ratio or deriving the risk minimizing portfolio we therefore introduce a general model which nests these four models and their natural asymmetric extensions the new model is applied to study the dynamic relation between large and small firm returns article published by oxford university press on behalf of the society for financial studies in its journal the review of financial studies

energy prices and co2 emission allowance prices a quantile regression approach we use a quantile regression framework to investigate the impact of changes in crude oil prices natural gas prices coal prices and electricity prices on the distribution of the co2 emission allowance prices in the united states we find that i an increase in the crude oil price generates a substantial drop in the carbon prices when the latter is very high ii changes in the natural gas prices have a negative effect on the carbon prices when they are very low but have a positive effect when they are quite high iii the impact of the changes in the electricity prices on the carbon prices can be positive in the right tail of the distribution and iv the coal prices exert a negative effect on the carbon prices

dynamic behavior of co2 spot prices co2 emission allowances are traded nowadays over the counter otc and on exchanges across the european union eu it thus becomes increasingly important for traders of these emission certificates to have a valid co2 spot price model to value potential derivatives in addition co2 emitting companies require an adequate co2 spot price model in order to better assess their production costs and support emissions related investment decisions however sufficient price history is still lacking for the european union emission trading scheme eu ets we therefore present a tractable stochastic equilibrium model reflecting stylized features of the eu ets and analyze the resulting co2 spot price dynamics our main findings are that co2 prices do not have to follow any seasonal patterns discounted prices should possess the martingale property and an adequate co2 price process should exhibit a time and price dependent volatility structure a brief empirical examination regarding market efficiency complements our analysis