RiskNET eLibrary

Spätestens 2007/2008 ist offensichtlich geworden, dass Risikokonzentrationen in den Finanzinstituten noch nicht ausreichend berücksichtigt werden. Expliziten Handlungsbedarf signalisiert auch die Bankenaufsicht, zuletzt durch den MaRisk-Entwurf vom 9. Juli 2010. Die Integration von Risikokonzentrationen in die Prozesse des Risikomanagements- und -controllings ist wohl ein wesentlicher Meilenstein für den Ausbruch aus dem Denken in einzelnen Risikoarten-Silos. Auf diesem Weg sind jedoch noch einige Hürden zu überwinden. Dies wird nachfolgend am Beispiel der Bewertung von Risikokonzentrationen gezeigt.
[Quelle: Brzozowska, Aneta/Stübner, Peter: Bewertung von Risikokonzentrationen – mehr als nur neue Kennzahlen, in: RISIKO MANAGER, Ausgabe 17/2010, S. 1, 8-16.]
MQuick 7338 Downloads 15.09.2010
Datei downloaden
A major source of risk in project management is inaccurate forecasts of project costs, demand, and other impacts. The paper presents a promising new approach to mitigating such risk based on theories of decision-making under uncertainty, which won the 2002 Nobel Prize in economics. First, the paper documents inaccuracy and risk in projectmanagement.
Second, it explains inaccuracy in terms of optimism bias and strategic misrepresentation. Third, the theoretical basis is presented for a promising new method called "reference class forecasting", which achieves accuracy by basing forecasts on actual performance in a reference class of comparable projects and thereby bypassing both optimism bias and strategic misrepresentation. Fourth, the paper presents the first instance of practical reference class forecasting, which concerns cost forecasts for large transportation infrastructure projects. Finally, potentials for and barriers to reference class forecasting are assessed.
[Source: Flyvbjerg, Bent: From Nobel Prize to Project Management: Getting Risks Right, in: Project Management Journal (Project Management Institute) 37 (3): 5–15.]
Flyvbjerg 1495 Downloads 27.08.2010
Datei downloaden
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]
Trueck 1647 Downloads 27.08.2010
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]
Airmic 3009 Downloads 30.07.2010
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]
Alberts 2088 Downloads 29.07.2010
Datei downloaden
Auf Basis von Excel können Risiken in einem Risikodiagramm übersichtlich dargestellt werden. Dabei wird die Definition von eigenen Kategorien für das Schadensausmaß und die Auftretenswahrscheinlichkeit untersützt. Mehr zur Defintion von Risikodiagrammen im Bereich des produktorientierten Risikomanagements auf www.risikomanager.org.
Frank-Drews 16174 Downloads 20.07.2010
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]
Gleissner 2658 Downloads 05.07.2010
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.]
3505 Downloads 22.06.2010
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]
SvetlozarT.Rachev 3034 Downloads 22.06.2010
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]
SvetlozarT.Rachev 1873 Downloads 22.06.2010
Datei downloaden