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The liberalization of electricity markets has forced the energy producing companies to react to the new situation. The abolishment of monopolies and the launch of open markets have increased the need of calculating costs closer to the profit frontier to be still competitive, not only against the other German but also against foreign suppliers. Thus, an efficient risk management and risk controlling are needed to ensure the financial survival of the company even during bad times. In this work we use the RAROC methodology to develop a Monte Carlo Simulation based model to quantify risks related to wholesale electricity contracts, also called full load contracts. We do not only consider risk due to market price fluctuations but also due to correlation effects between the spot market price and the load curve of a single customer.
[Authors: M.Prokopczuk, S.Rachev and S.Trueck]
[Authors: M.Prokopczuk, S.Rachev and S.Trueck]
3833 Downloads27.08.2010
Datei downloaden Risk management is an increasingly important business driver and stakeholders have become much more concerned about risk. Risk may be a driver of strategic decisions, it may be a cause of uncertainty in the organisation or it may simply be embedded in the activities of the organisation. An enterprise-wide approach to risk management enables an organisation to consider the potential impact of all types of risks on all processes, activities, stakeholders, products and services. Implementing a comprehensive approach will result in an organisation benefiting from what is often referred to as the ‘upside of risk’. The global financial crisis in 2008 demonstrated the importance of adequate risk management. Since that time, new risk management standards have been published, including the international standard, ISO 31000 ‘Risk management – Principles and guidelines’. This guide draws together these developments to provide a structured approach to implementing enterprise risk management (ERM).
[Source: Airmic/Alarm/IRM (2010): A structured approach to Enterprise Risk Management (ERM) and the requirements of ISO 31000]
[Source: Airmic/Alarm/IRM (2010): A structured approach to Enterprise Risk Management (ERM) and the requirements of ISO 31000]
4947 Downloads30.07.2010
Datei downloaden SEI Mission-Oriented Success Analysis and Improvement Criteria (MOSAIC) is a management approach for establishing and maintaining confidence that objectives will be achieved successfully. It comprises a suite of risk-based methods for assessing and managing complex projects and processes. The Mission Diagnostic Protocol (MDP) is one of the assessments included in MOSAIC. MDP provides a time-efficient means of analyzing the potential for success in complex and uncertain environments and can be applied across the life cycle and throughout the supply chain. It produces a broad overview of the current state of risk and opportunity for a project or process. With MDP, a set of key drivers is evaluated to establish current conditions and circumstances that can affect performance. Then, a simple algorithm is used to estimate the likelihood of achieving the objectives being pursued. An MDP assessment is straightforward to conduct, and it can be self-applied by people who are responsible for overseeing projects and processes. The purpose of this document is to describe the core set of activities and outputs that defines MDP.
[Source: Alberts, Christopher/Audrey Dorofee/Lisa Marino (2008): Mission Diagnostic Protocol, Version 1.0: A Risk-Based Approach for Assessing the Potential for Success. Software Engineering Institute, March 2008]
[Source: Alberts, Christopher/Audrey Dorofee/Lisa Marino (2008): Mission Diagnostic Protocol, Version 1.0: A Risk-Based Approach for Assessing the Potential for Success. Software Engineering Institute, March 2008]
3771 Downloads29.07.2010
Datei downloaden Um nachhaltig eine risikoadjustierte Outperformance im Private Wealth Management zu erzielen, ist die kontinuierliche Weiterentwicklung des Portfoliomanagements erforderlich. Notwendig sind spezielle Instrumente, die moderne Bewertungsmethoden und Ergebnisse der empirischen Kapitalmarktforschung nutzen und insbesondere nicht auf den Standardannahmen der Theorie vollkommener Kapitalmärkte basieren.
[Quelle: die bank, Nr. 4/2010, S. 28-31]
[Quelle: die bank, Nr. 4/2010, S. 28-31]
4242 Downloads05.07.2010
Datei downloaden Der Deutsche Bundestag und der Bundesrat haben 2009 das "Gesetz zur Änderung des Bundesdatenschutzgesetzes" (BDSG-Novelle I) betreffend Scoring und Auskunfteien beschlossen, das zum 1. April 2010 in Kraft getreten ist. Ziel der neuen Regelungen ist es unter anderem die Transparenz beim Einsatz von Scoring-Verfahren zu erhöhen. Unternehmen und Auskunfteien sind somit seit Anfang April 2010 dazu verpflichtet, ihren Kunden auf Anfrage deren Scoring schriftlich und verständlich offen zu legen. Wir stellen in diesem Beitrag den rechtlichen Rahmen dieser Gesetzesnovelle vor und entwickeln daraufhin ein Modell, welches eine Offenlegung für Scoringsysteme aller Art ermöglicht. Das entwickelte Konzept garantiert, dass der Kunde ausreichend in die Stärken und Schwächen seiner Bonität Einsicht nehmen kann, ohne gleichzeitig methodisch die Grundlagen multivariater Merkmalsanalysen oder Regressionsmodelle verstehen zu müssen. In einem Beispiel aus dem Bereich des Konsumentenkredit-Scoring wird das Konzept ausgeführt und zeigt eine technische Lösung, so wie sie von Banken jeder Größe implementiert werden kann.
[Quelle: Markus J. Rieder/Olaf Schulze: Ein Modell zur Scoring-Beauskunftung, in: RIsiko MANAGER 11/2010, S. 10-17.]
[Quelle: Markus J. Rieder/Olaf Schulze: Ein Modell zur Scoring-Beauskunftung, in: RIsiko MANAGER 11/2010, S. 10-17.]
5605 Downloads22.06.2010
Datei downloaden Recently, a body of academic literature has focused on the area of stable distributions and their application potential for improving our understanding of the risk of hedge funds. At the same time, research has sprung up that applies standard Bayesian methods to hedge fund evaluation. Little or no academic attention has been paid to the combination of these two topics. In this paper, we consider Bayesian inference for alpha-stable distributions with particular regard to hedge fund performance and risk assessment. After constructing Bayesian estimators for alpha-stable distributions in the context of an ARMA-GARCH time series model with stable innovations, we compare our risk evaluation and prediction results to the predictions of several competing conditional and unconditional models that are estimated in both the frequentist and Bayesian setting. We find that the conditional Bayesian model with stable innovations has superior risk prediction capabilities compared with other approaches and, in particular, produced better risk forecasts of the abnormally large losses that some hedge funds sustained in the months of September and October 2008.
[Authors: Biliana Güner, Svetlozar T. Rachev, Daniel Edelman, Frank J. Fabozzi]
[Authors: Biliana Güner, Svetlozar T. Rachev, Daniel Edelman, Frank J. Fabozzi]
4674 Downloads22.06.2010
Datei downloaden A crucial problem for institutional money managers that are focussed on one sector or sub-sector of financial markets is to know to what degree they depend on the broad markets they aim at diversifying away from. This is a special problem for fund of fund (FoF) managers because with an increasing number of target funds, the marginal contribution from diversification decreases and active bets of target funds may be cancelled out. Furthermore, when appropriate tools to hedge or reduce risks are unavailable for the respective sectors, investments in derivatives on a more general universe or index may become necessary. Both problems make an appropriate method for estimating sector FoF risk exposure to the general markets necessary. We provide a solution for sector portfolios that is especially comforting when being applied to small datasets. Our parsimonious approach of using only short time spans for estimating broad market dependence of the sector portfolio is particularly interesting for practical applications, as it is in line with requirements in the industry where very recent and frequently updated risk measures are used and demanded for by regulators.
[Authors: Michael Stein, Svetlozar T. Rachev, Stoyan V. Stoyanov]
[Authors: Michael Stein, Svetlozar T. Rachev, Stoyan V. Stoyanov]
3390 Downloads22.06.2010
Datei downloaden Portfolio risk estimation requires appropriate modeling of fat-tails and asymmetries in dependence in combination with a true downside risk measure. In this survey, we discuss computational aspects of a Monte-Carlo based framework for risk estimation and risk capital allocation. We review different probabilistic approaches focusing on practical aspects of statistical estimation and scenario generation. We discuss value-at-risk and conditional value-at-risk and comment on the implications of using a fat-tailed framework for the reliability of risk estimates.
[Authors: Stoyan V. Stoyanov ,Svetlozar T. Rachev, Frank J. Fabozzi]
[Authors: Stoyan V. Stoyanov ,Svetlozar T. Rachev, Frank J. Fabozzi]
3333 Downloads22.06.2010
Datei downloaden Mit dem Verbot ungedeckter Leerverkäufe von Wertpapieren hat die deutsche Regierung einen Schritt getan, der eine einmalige Qualität hat: Sie hat einen Alleingang riskiert und ist damit über den langen Schatten des aus der Spieltheorie bekannten Gefangenen-Dilemmas gesprungen. Diesen Schritt hat die Finanzindustrie immer gefürchtet. Er ist für die Finanzkreise eine Katastrophe. Die hysterischen Reaktionen zeigen, dass die Regierung den richtigen Nerv getroffen hat. Es geht bei der neuen Regulierung gar nicht in erster Linie um den Inhalt; es geht vielmehr um die einmalige Methode des Vorgehens, den Alleingang. Vermutlich ist sich die Regierung der Tragweite ihres Tuns noch nicht bewusst. Wenn sie in einigen Tagen verstanden haben wird, was sie getan hat, dann besteht Hoffnung auf ähnliche Maßnahmen auf anderen Feldern der Finanzmarktregulierung. Vielleicht schließen sich andere Regierungen dem deutschen Alleingang an. In diesem Fall ist der Weg frei für eine fundamentale Neuordnung der Finanzindustrie. Ein Weitermachen nach den alten Spielregeln ist dann nicht mehr möglich.
[Autoren: Volker Bieta/Hellmuth Milde, Quelle: RISIKO MANAGER 12/2010, S. 16-17]
[Autoren: Volker Bieta/Hellmuth Milde, Quelle: RISIKO MANAGER 12/2010, S. 16-17]
4775 Downloads06.06.2010
Datei downloaden In der gegenwärtigen Griechenland-Krise können sich die Finanzinstitute auf das schlechte Krisenmanagement der EU-Regierungen verlassen. Die Regierungen stecken in einem Dilemma. Ohne Änderungen der Spielregeln für das Verhalten der Regierungen können die Banken ihr unverantwortliches Spiel fortsetzen.
[Autoren: Volker Bieta/Hellmuth Milde, Quelle: RISIKO MANAGER 11/2010, S. 20-23]
[Autoren: Volker Bieta/Hellmuth Milde, Quelle: RISIKO MANAGER 11/2010, S. 20-23]
6200 Downloads06.06.2010
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