Emissionsrechtemanagement mit dem „CO2-Navigator“
Wilfried Ehrenfeld
IWH Discussion Papers,
No. 19,
2011
Abstract
The emission rights management module of the software package “CO2-Navigator“ is a corporate emissions rights management instrument designed to provide an overview of the allocation and transactions of CO2 emission allowances at any time of the calendar year. During the acquisition, the relevant dates, quantities and prices are collected. The daily updated inventory of allowances is also reported.
Based on the current state of the emissions from an installation, an estimate of the allowance coverage for the balance sheet day of the current year is realized, using an emission profile characteristic for the firm. Here, a possible under- or over- coverage is graphically illustrated and quantified. The module is thus a useful tool in the risk management process of emission intensive companies. A possible subsequent investment analysis, e. g. a stochastic investment planning, builds on the data supplied by this module. This paper describes the motivation and technical conception of this instrument.
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A Model for the Valuation of Carbon Price Risk
Henry Dannenberg, Wilfried Ehrenfeld
Antes, R.; Hansjürgen, B.; Letmathe, P.; Pickl, S. (Hrsg.), Emissions Trading - Institutional Design, Decision Making and Corporate Strategies (Second Edition),
2011
Abstract
Modeling the price risk of CO2 emission allowances is an important aspect of integral corporate risk management related to emissions trading. In this paper, a pricing model is developed 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 in the current trade period as well as by the long-term marginal abatement costs. The price risk is modeled on the basis of a mean reversion process. Due to uncertainties about the future state of the environment, we suppose that within one trade period erratic changes in the expected marginal abatement costs may occur leading to shifts in the price level. In addition to the parameter estimation, it is also an objective of this work to modify the mean reversion process so that such abrupt changes in the expected reversion level can be displayed. Because of the possibility of transferring spare allowances to a subsequent period we take into account the fact that the expected long run marginal abatement costs act as a lower limit for the price in the trading period.
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The Importance of Estimation Uncertainty in a Multi-Rating Class Loan Portfolio
Henry Dannenberg
IWH Discussion Papers,
No. 11,
2011
Abstract
This article seeks to make an assessment of estimation uncertainty in a multi-rating class loan portfolio. Relationships are established between estimation uncertainty and parameters such as probability of default, intra- and inter-rating class correlation, degree of inhomogeneity, number of rating classes used, number of debtors and number of historical periods used for parameter estimations. In addition, by using an exemplary portfolio based on Moody’s ratings, it becomes clear that estimation uncertainty does indeed have an effect on interest rates.
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Stochastic Income Statement Planning as a Basis for Risk Assessment in the Context of Emissions Trading
Henry Dannenberg, Wilfried Ehrenfeld
Greenhouse Gas Measurement and Management,
No. 1,
2011
Abstract
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.
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Stochastic Income Statement Planning and Emissions Trading
Henry Dannenberg, Wilfried Ehrenfeld
Abstract
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.
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A Novel Approach to Incubator Evaluations: The PROMETHEE Outranking Procedures
Michael Schwartz, Maximilian Göthner
IWH Discussion Papers,
No. 1,
2009
Abstract
Considerable public resources are devoted to the establishment and operation of business incubators (BIs), which are seen as catalysts for the promotion of entrepreneurship, innovation activities and regional development. Despite the vast amount of research that has focused on the outcomes or effectiveness of incubator initiatives and how to measure incubator performance, there is still little understanding of how to determine incubators that are more effective than others. Based on data from 410 graduate firms, this paper applies the multi-criteria outranking technique PROMETHEE (Preference Ranking Organization Method for Enrichment Evaluation) and compares the long-term effectiveness of five technology-oriented BIs in Germany. This is the first time that outranking procedures are used in incubator evaluations. In particular, we investigate whether PROMETHEE is a well-suited methodological approach for the evaluation and comparisons in the specific context of business incubation.
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Estimation Uncertainty in Credit Risk Assessment: Comparison of Credit Risk Using Bootstrapping and an Asymptotic Approach
Henry Dannenberg
IWH Discussion Papers,
No. 3,
2009
Abstract
For credit risk assessment, probability of default and correlation have to be estimated simultaneously. However, these estimates are uncertain. To assess this uncertainty the literature has discussed the use of asymptotic confidence regions. This kind of region though needs a long credit history for exact assessment. An alternative method to generate a confidence region for a short credit history is bootstrapping. Hence, it could be more appropriate to assess estimation uncertainty with bootstrapping than with asymptotic methods if only a short credit history is available. Based on a simulation study, it is analyzed how many periods should be available for assessing credit risk – taking account of estimation uncertainty – if bootstrapping and a Wald confidence region shall achieve similar results. This article shows that more than 100 cycles have to be available for similar results.
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Forecasting the CO2 certificate price risk
Henry Dannenberg, Wilfried Ehrenfeld
IWH Discussion Papers,
No. 5,
2008
Abstract
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.
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Capital Stock Approximation using Firm Level Panel Data: A Modified Perpetual Inventory Approach
Steffen Müller
Jahrbücher für Nationalökonomie und Statistik,
No. 4,
2008
Abstract
Many recent studies exploring conditional factor demand or factor substitution issues use firm level panel data. A considerable number of establishment panels contains no direct information on the capital input, necessary for production or cost function estimation. Incorrect measurement of capital leads to biased estimates and casts doubt on any inference on output elasticities or input substitution properties. The perpetual inventory approach, commonly used for long panels, is a method that attenuates these problems. In this paper a modified perpetual inventory approach is proposed. This method provides more reliable measures for capital input when short firm panels are used and no direct information on capital input is available. The empirical results based on a replication study of Addison et al. (2006) support the conclusion that modified perpetual inventory is superior to previous attempts in particular when fixed effects estimation techniques are used. The method thus makes a considerable number of recently established firm panels accessible to more sophisticated production function or factor demand analyses.
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