Stochastic Income Statement Planning as a Basis for Risk Assessment in the Context of Emissions Trading
Greenhouse Gas Measurement and Management,
The introduction of the European emissions trading system means that those enterprises taking part have a new planning risk factor to consider – emissions allowance prices. In this article, we analyse how risk emerging from emissions trading can be considered in the stochastic income statement planning of corporations. Therefore, we explore which planned figures are affected by emissions trading. Moreover, we show an approach that models these positions in a planned profit and loss account, taking into account uncertainties and dependencies. Consequently, this model provides a basis for risk assessment and investment decisions in the uncertain environment of emissions trading.
Stochastic Income Statement Planning and Emissions Trading
IWH Discussion Papers,
Since the introduction of the European CO2 emissions trading system (EU ETS), the
development of CO2 allowance prices is a new risk factor for enterprises taking part in this system. In this paper, we analyze how risk emerging from emissions trading can be considered in the stochastic profit and loss planning of corporations. Therefore we explore which planned figures are affected by emissions trading. Moreover, we show a way to model these positions in a planned profit and loss account accounting for uncertainties and dependencies. Consequently, this model provides a basis for risk assessment and investment decisions in the uncertain environment of CO2 emissions trading.
Forecasting the CO2 certificate price risk
IWH Discussion Papers,
Modeling the price risk of CO2 certificates is one important aspect of integral corporate risk management related to emissions trading. The paper presents a risk model which may be the basis for evaluating the risk of emission certificate prices. We assume that the certificate price is determined by the expected marginal CO2 abatement costs prevailing at the current trade period and stochastically fluctuates around the respective level as returned from the mean reversion process. Due to uncertainties about future environmental states we suppose that within one trade period, erratic changes in the expected marginal abatement costs may occur leading to shifts in the price level. The aim of the work is to model the erratic changes of the expected reversion level and to estimate the parameters of the mean reversion process.