Pricing derivatives with modeling CO2 emission allowance using a regime-switching jump diffusion model: with regime-switching risk premium

Carbon markets trade the spot European Union Allowance (EUA), with one EUA providing the right to emit one tone of carbon dioxide (CO₂). We examine the spot EUA returns in BlueNext that exhibit jumps and a volatility clustering feature. We propose a regime-switching jump diffusion model (RSJM) with a hidden Markov chain to capture not only a volatility clustering feature, but also the dynamics of the spot EUA returns that are influenced by change in the CO₂ emission economic conditions. In addition, the switching jump intensities of the RSJM are shown to be affected by change in the carbon-market macroeconomic environment. We further derive the theoretical futures-option prices with a constant convenience yield under the RSJM via the generalized Esscher transform where regime-switching risk is priced with a risk premium. The empirical study shows that the derived futures-option pricing model under the RSJM with regime-switching risk is a more complete model than a jump diffusion model for pricing CO₂ options.     

Detecting and modelling the jump risk of CO2 emission allowances and their impact on the valuation of option on futures contracts

Modelling CO₂ emission allowance prices is important for pricing CO₂ emission allowance linked assets in the emissions trading scheme (ETS). Some statistical properties of CO₂ emission allowance prices have been discovered in the literature ignoring price jumps. By employing real data from the ETS, this research first detects the jump risk using a jump test and then verifies jump effects in modelling CO₂ emission allowance prices by comparing the in-sample and out-of-sample model performance. We suggest a model which can capture the statistical properties of autocorrelation, volatility clustering and jump effects is more appropriate for modelling CO₂ emission allowance prices. We establish a general framework for pricing CO₂ emission allowance options on futures contracts with these properties and find that the jump risk significantly affects the value of the CO₂ emission allowance option on futures contracts. More importantly, we demonstrate that the dynamic jump ARMA–GARCH model can provide more accurate valuations of the CO₂ emission allowance options on futures than other models in terms of pricing error.     

On the asymmetric relationship between stock market development,energy efficiency and environmental quality: A nonlinear analysis

It has been widely documented in the literature that financial development drives up the impact of CO₂ emissions through increases in real economic activities and the consumption of polluting fossil fuel energy. However, when dealing with stock market development, such upward effects on economic growth, energy efficiency, and carbon emissions seems to give away to a positive impact especially in emerging markets. This paper contributes to this debate by exploring both the symmetric and asymmetric responses of CO₂ emission to changes in stock market development indicators. Using both the panel linear and nonlinear ARDL, our results demonstrate the asymmetric effects of stock market development indicator son carbon emissions in the context of emerging markets. In particular, the long-run elasticities results suggest that positive and negative shocks on stock market indicator decreases environmental quality by increasing carbon emissions. Based on these empirical findings, this study offers some crucial policy implications. Especially, policy makers should implement strong environmental policies in emerging markets economies to reduce carbon emissions of industrial companies without significantly affecting the development of financial markets.     

Adaptive Learning in an Expectational Difference Equation with Several Lags: Selecting among Learnable REE

It is demonstrated that adaptive learning in the least squares sense may be incapable of satisfactorily reducing the number of attainable equilibria in a rational expectations model when focusing on the forward‐solutions to the model. The model examined, as an illustration, is a basic asset pricing model for exchange rate determination that is augmented with technical trading in the currency market in the form of moving averages since it is the most commonly used technique according to questionnaire surveys. The forward‐solutions to such a model are preferable to the backward‐solutions that are normally utilized since announcement effects is an important feature in currency trade. Because of technical trading in foreign exchange, the current exchange rate depends on j _max lags of the exchange rate, meaning that the model has j _max+1 rational expectations equilibria, where several of them are adaptively learnable in the least squares sense. However, since past exchange rates should not affect the current exchange rate when technical trading is absent, it is possible to single out a unique equilibrium among the adaptively learnable equilibria that is economically meaningful. It is worth noting that the model examined can also be viewed as a model for stock price determination in which the forward‐solutions to the model are preferable to the backward‐solutions since the importance of announcement effects is a common characteristic for currency and stock markets.     

Information linkages between emission allowance and energy markets

We employ a rational expectations framework similar to that proposed by Fleming et al. (1998) to examine the source, and nature of, information linkages between the emission allowance and energy markets as gauged by the correlation of return volatilities. Estimating the model for bivariate pairings of securities suggests that market linkages arise from sensitivities to common information rather than from indirect spillovers, with emission allowances most strongly linked to the crude oil market.     

Dynamic linkages between the center and periphery in international stock markets

This paper examines the dynamic linkages between the equity market of US representing the center and emerging markets using the Granger-causality test. The findings show that causality runs from the S&P500 to the stock prices of the 15 emerging markets but not vice versa.     

Monte Carlo valuation of natural gas investments

In this evaluation of energy assets related to natural gas, our particular focus is on a base load natural gas combined cycle power plant and a liquefied natural gas facility in a realistic setting. We also value several American-type investment options following the least squares Monte Carlo approach. We calibrate mean-reverting stochastic processes for gas and electricity prices by using data from NYMEX NG futures contracts and the Spanish wholesale electricity market, respectively. Additional sources of uncertainty concern the initial investment outlay, or the option's time to maturity, or the cost of CO₂ emission permits.     

Factorization of European and American option prices under complete and incomplete markets

In a standard option-pricing model, with continuous-trading and diffusion processes, this paper shows that the price of one European-style option can be factorized into two intuitive components: One robust, X₀, which is priced by arbitrage, and a second, Π₀, which depends on a risk orthogonal to the traded securities. This result implies the following: (1) In an incomplete market, these parts represent the price of a hedging portfolio, which is unique, and a premium, which depends only on the risk premiums associated with the residual risk, respectively. (2) In a complete market, it allows factoring the contribution of the different sources of risk to the final option price. For example, in a stochastic volatility model, we can quantify the impact on the option price of volatility risk relative to market risk, Π₀ and X₀, respectively. Hence, certain misspricings in option markets can be directly related to the premium, Π₀. (3) Moreover, these results extend to American securities, which have a third component – an additional early-exercise premium.     

Are exchange rates serially correlated? New evidence from the Euro FX markets

This paper examines the serial uncorrelatedness hypothesis in the Euro FX markets by testing for autocorrelation in daily FX returns of 82 countries over the period of 1999–2010. We use three newly developed tests that are robust to conditional heteroskedasticity of unknown forms and that do not choose a lag parameter arbitrarily. They are Escanciano &; Lobato (2009)'s automatic Box–Pierce Q_p test, Nankervis &; Savin (2010)'s generalized Andrews–Ploberger test and Deo (2000)'s robust Durlauf test. We find no significant autocorrelation in the FX returns of around 58 to 62 countries, suggesting that majority of the Euro FX markets are weak-form efficient.     

The Monday effect revisited: An alternative testing approach

This paper questions traditional approaches for testing the Monday effect of stock returns. We propose an alternative, multiple hypothesis testing approach based on the closure test principle which controls the multiple type I error. We consider the US, the UK and the German stock markets and test Monday related pairwise comparisons of daily expected stock returns, while the probability of committing any type I error is always kept smaller than a prespecified level α, for each combination of true null hypotheses. Overall, the new testing approach supports previous findings of a Monday effect for the 1970s and 1980s, in particular for the US and Germany, while it suggests that the Monday effect has vanished in the 1990s and 2000s in all three markets. The comparison of the closure test procedure, the traditional multiple t-test and the Bonferroni test, a classical multiple test procedure, shows that traditional testing may result in spurious significance while the Bonferroni test may sometimes be too conservative.     

Carbon Price in China: A CO2 Abatement Cost of Wind Power Perspective

As a result of rapid development of industrialization and urbanization, energy (especially fossil fuels) demand growth is increasing. Hence, China is facing the huge pressure of environmental protection and CO₂ emission reduction. The feed-in tariff (FIT) policy that promotes more wind power to substitute for thermal power and a well-functioning carbon price mechanism can significantly affect CO₂ abatement, and both can work in coordination to achieve emission reduction. Using panel model, we prove that FIT policy is more effective than other policies in promoting more wind power. Also the slowdown of economic growth, energy substitution, technological progress, and CO₂ mitigation requirement can stimulate the expansion of wind power. Additionally, based on the calculation of real abatement cost of wind power, we obtain the provincial and national average of carbon prices (239 CNY/ton and 242 CNY/ton). Specifically, 233-251 CNY/ton will be the range for reasonable carbon price in the future. We find that the carbon prices in this article are higher than those of the emissions trading scheme pilots in 2014 and 2015, due to the relatively high proportion of free allowance. Based on the above conclusions, we proposed some policy suggestions.     

Measuring Value‐at‐Risk in Project Finance Transactions

Despite the remarkable importance of project finance in international financial markets, no quantitative models to measure and quantify the risk associated with a deal for the project's lenders have been developed yet. The topic has recently become crucial, since the New Basle Capital Accord gives banks a choice of whether to adopt simpler (but possibly higher) standard capital requirements or to develop internal rating models for project finance transactions. The paper proposes how Monte Carlo simulations may be used to derive a Value‐at‐Risk estimate for project finance deals and discusses the critical issues that must be considered when developing such a model.     

The effects of news events on market contagion: Evidence from the 2007–2009 financial crisis

In this paper, we use the quantile regression technique along with coexceedance, a contagion measure, to assess the extent to which news events contribute to contagion in the stock markets during the crisis period between 2007 and 2009. Studies have shown that, not only the subprime crisis leads to a global recession, but the effects on the global stock markets have also been significant. We track the news events, both in the UK and the US, using the global recession timeline. We observe that the news events related to ad hoc bailouts of individual banks from the UK have a contagion effect throughout the period for most of the countries under investigation. This, however, is not found to be the case for the news events originating from the US. Our findings regarding the evidence of contagion effects in the UK reinforce the argument that spreads and contagion—an outcome of the risk perception of financial markets—are solely a result of the behaviour of investors or other financial market participants.     

Evaluating effects on the flow of electrical and electronic equipment and energy consumption due to alternative consumption patterns in China

In this paper, we evaluated the effects of consumer’s behavioural changes on usage and disposal of home appliances. With the model to estimate the product circulation, first we conducted the sensitivity analysis with the six parameters, namely urbanisation, household size, Gini coefficient, product lifetime and selection rate of used product and high energy efficiency product. Then, secondly we evaluated CO₂ emission and e-waste generation from four consumers’ different behavioural patterns, which are named as ‘Business As Usual’ (BAU), ‘Rapid Cycling’ (RC), ‘Chain of Users’ (CU) and ‘Quality and Wisdom’ (QW). As a result, the QW scenario was the best lifestyle in both criteria. Further, RC scenario had an advantage on the reduction in e-waste generation in one hand, but CU scenario reduced more CO₂ emission. During the transition era of China from materially poor to rich, it could be one of the solutions to utilise energy-efficient second-hand product to improve the living standards of the poor and replace technologically inferior product stocks in poor households.     

Has the CDS market influenced the borrowing cost of European countries during the sovereign crisis?

This paper assesses the potential influence of the growing CDS market on the borrowing cost of sovereign states during the European sovereign crisis. We analyze the sovereign debt market to ascertain the pattern of information transmission between the CDS and corresponding bond markets. Our methodological innovation is the use of a non-linear specification rather than the linear VECM specification customarily employed. Using a panel smooth transition model during the 2008–2010 period, we find that: 1) linearity tests clearly reject the null hypothesis of a linear transmission mechanisms between the bond and the CDS markets; 2) market distress alters the mutual influence and 3) the higher the distress the more the CDS market dominates the information transmission between CDS and bond markets.     

The implications of fossil fuel supply constraints on climate change projections: A supply-side analysis

Climate projections are based on emission scenarios. The emission scenarios used by the IPCC and by mainstream climate scientists are largely derived from the predicted demand for fossil fuels, and in our view take insufficient consideration of the constrained emissions that are likely due to the depletion of these fuels. This paper, by contrast, takes a supply-side view of CO₂ emission, and generates two supply-driven emission scenarios based on a comprehensive investigation of likely long-term pathways of fossil fuel production drawn from peer-reviewed literature published since 2000. The potential rapid increases in the supply of the non-conventional fossil fuels are also investigated. Climate projections calculated in this paper indicate that the future atmospheric CO₂ concentration will not exceed 610 ppm in this century; and that the increase in global surface temperature will be lower than 2.6 °C compared to pre-industrial level even if there is a significant increase in the production of non-conventional fossil fuels. Our results indicate therefore that the IPCC’s climate projections overestimate the upper-bound of climate change. Furthermore, this paper shows that different production pathways of fossil fuels use, and different climate models, are the two main reasons for the significant differences in current literature on the topic.     

Asymmetric dynamics in correlations of treasury and swap markets: Evidence from the US market

Using the asymmetric dynamic conditional correlation (A-DCC) model developed by Cappiello et al. (2006), this paper empirically analyzes the conditional correlation between treasury and swap markets from February 9, 2006 to May 31, 2011, and makes two key contributions. First, the dynamics of the conditional correlation of only the 2-year maturity differs from those of other maturities. These patterns might be explained by the fact that a 2-year maturity is easily affected by market forecasts of monetary policy changes by the Federal Reserve Board. Second, the financial crisis dummies (ξ₁) are all negative in particular with significance at the 5% level for 7 year, 10 year, and 30 year maturities. This result indicates that arbitrage transactions between treasuries and swaps have not taken place on a sufficient scale during the financial crisis period. As Ito (2010) points out, market participants have been uncertain about the direction of the monetary policies of these financial institutions.     

Testing stock market linkages for Poland and Hungary: A multivariate GARCH approach

This paper examines the linkages between the emerging stock markets in Warsaw and Budapest and the established markets in Frankfurt and the U.S. By using a four-variable asymmetric GARCH-BEKK model, we find evidence of returns and volatility spillovers from the developed to the emerging markets. However, as the estimated time-varying conditional covariances and the variance decompositions indicate limited interactions among the markets, the emerging markets are weakly linked to the developed markets. The implication is that foreign investors may benefit from the reduction of risk by adding the stocks in the emerging markets to their investment portfolio.     

Will tighter futures price limits decrease hedge effectiveness?

The events triggered by the Global Financial Crisis (GFC) have led to calls for the regulation of financial markets. Given that regulation may involve opportunity costs, this paper examines whether tighter futures price limits can reduce the effectiveness of a futures hedge. We propose a new model that uncovers the underlying spot-futures dynamics when futures prices are subject to limits. We use the model to determine the maximum number of limit days that can occur before minimum variance hedging outcomes are adversely affected. Application of this model to the US soybean and corn markets reveals that existing limits do not reduce hedge effectiveness. If the frequency of limit days increases from current levels of 1% to approximately 3–4%, conventional hedging approaches will experience economically and statistically significant increases in portfolio variance. These results are important for hedgers, clearing houses and regulators in light of the recent calls for derivatives regulation.     

Investment barriers and international asset pricing

In this article a multicountry model of international asset pricing is developed. This model incorporates a more general representation of the degree of segmentation in the international capital market. Specifically,N types of investors andN classes of securities are postulated. In general, thenth (n=1, 2, 3, ...N) type of investor has access to all security markets up to and including thenth class. Using the standard mean-variance framework, closed form equilibrium risk return relationships are obtained for all classes of securities. It is also shown that class 1 securities are priced as if markets are integrated, classn (n=2, 3 ...N) securities commandn different risk premia. Finally, the nature of the model specification allows us to investigate the effects of partial integration on investor welfare. It is shown that, in general, all investors prefer full integration to any form of partial integration.