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Coherent Stress Testing

Author: Riccardo Rebonato
Publisher: John Wiley & Sons
ISBN: 0470971487
Size: 13.25 MB
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In Coherent Stress Testing: A Bayesian Approach, industry expert Riccardo Rebonato presents a groundbreaking new approach to this important but often undervalued part of the risk management toolkit. Based on the author's extensive work, research and presentations in the area, the book fills a gap in quantitative risk management by introducing a new and very intuitively appealing approach to stress testing based on expert judgement and Bayesian networks. It constitutes a radical departure from the traditional statistical methodologies based on Economic Capital or Extreme-Value-Theory approaches. The book is split into four parts. Part I looks at stress testing and at its role in modern risk management. It discusses the distinctions between risk and uncertainty, the different types of probability that are used in risk management today and for which tasks they are best used. Stress testing is positioned as a bridge between the statistical areas where VaR can be effective and the domain of total Keynesian uncertainty. Part II lays down the quantitative foundations for the concepts described in the rest of the book. Part III takes readers through the application of the tools discussed in part II, and introduces two different systematic approaches to obtaining a coherent stress testing output that can satisfy the needs of industry users and regulators. In part IV the author addresses more practical questions such as embedding the suggestions of the book into a viable governance structure.

Portfolio Management Under Stress

Author: Riccardo Rebonato
Publisher: Cambridge University Press
ISBN: 1107048117
Size: 51.85 MB
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A rigorous presentation of a novel methodology for asset allocation in financial portfolios under conditions of market distress.

Elements Of Financial Risk Management

Author: Peter F. Christoffersen
Publisher: Academic Press
ISBN: 0123744482
Size: 50.54 MB
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The Second Edition of this best-selling book expands its advanced approach to financial risk models by covering market, credit, and integrated risk. With new data that cover the recent financial crisis, it combines Excel-based empirical exercises at the end of each chapter with online exercises so readers can use their own data. Its unified GARCH modeling approach, empirically sophisticated and relevant yet easy to implement, sets this book apart from others. Four new chapters and updated end-of-chapter questions and exercises, as well as Excel-solutions manual and PowerPoint slides, support its step-by-step approach to choosing tools and solving problems. Examines market risk, credit risk, and operational risk Provides exceptional coverage of GARCH models Features online Excel-based empirical exercises

Financial Decision Making Using Computational Intelligence

Author: Michael Doumpos
Publisher: Springer Science & Business Media
ISBN: 1461437733
Size: 74.46 MB
Format: PDF
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The increasing complexity of financial problems and the enormous volume of financial data often make it difficult to apply traditional modeling and algorithmic procedures. In this context, the field of computational intelligence provides an arsenal of particularly useful techniques. These techniques include new modeling tools for decision making under risk and uncertainty, data mining techniques for analyzing complex data bases, and powerful algorithms for complex optimization problems. Computational intelligence has also evolved rapidly over the past few years and it is now one of the most active fields in operations research and computer science. This volume presents the recent advances of the use of computation intelligence in financial decision making. The book covers all the major areas of computational intelligence and a wide range of problems in finance, such as portfolio optimization, credit risk analysis, asset valuation, financial forecasting, and trading.

Financial And Macroeconomic Connectedness

Author: Francis X. Diebold
Publisher: Oxford University Press
ISBN: 0199338329
Size: 32.67 MB
Format: PDF, ePub
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Connections among different assets, asset classes, portfolios, and the stocks of individual institutions are critical in examining financial markets. Interest in financial markets implies interest in underlying macroeconomic fundamentals. In Financial and Macroeconomic Connectedness, Frank Diebold and Kamil Yilmaz propose a simple framework for defining, measuring, and monitoring connectedness, which is central to finance and macroeconomics. These measures of connectedness are theoretically rigorous yet empirically relevant. The approach to connectedness proposed by the authors is intimately related to the familiar econometric notion of variance decomposition. The full set of variance decompositions from vector auto-regressions produces the core of the 'connectedness table.' The connectedness table makes clear how one can begin with the most disaggregated pair-wise directional connectedness measures and aggregate them in various ways to obtain total connectedness measures. The authors also show that variance decompositions define weighted, directed networks, so that these proposed connectedness measures are intimately related to key measures of connectedness used in the network literature. After describing their methods in the first part of the book, the authors proceed to characterize daily return and volatility connectedness across major asset (stock, bond, foreign exchange and commodity) markets as well as the financial institutions within the U.S. and across countries since late 1990s. These specific measures of volatility connectedness show that stock markets played a critical role in spreading the volatility shocks from the U.S. to other countries. Furthermore, while the return connectedness across stock markets increased gradually over time the volatility connectedness measures were subject to significant jumps during major crisis events. This book examines not only financial connectedness, but also real fundamental connectedness. In particular, the authors show that global business cycle connectedness is economically significant and time-varying, that the U.S. has disproportionately high connectedness to others, and that pairwise country connectedness is inversely related to bilateral trade surpluses.

Die Intelligente Asset Allocation

Author: William J. Bernstein
Publisher: FinanzBuch Verlag
ISBN: 3862488365
Size: 18.49 MB
Format: PDF, ePub, Docs
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William J. Bernstein ist in Fachkreisen längst als Guru der Investmentwelt bekannt. Er betreibt eine der weltweit erfolgreichsten Investment-Websites. In diesem Buch erklärt er wie man sicher, einfach und ohne großen Zeitaufwand sein Portfolio zusammenstellen kann. Dabei beruft er sich auf Techniken, mit denen seit Jahrzehnten erfolgreich Investiert wird. Mit nur 30 Minuten Zeitaufwand im Jahr kann damit jeder ein Portfolio zusammenstellen, das 75 Prozent aller professionell gemanagten Aktienkörbe hinter sich lässt.

The Performance Of Hedge Funds Risk Return And Incentives

Author: Patrick Vogel
Publisher: GRIN Verlag
ISBN: 3638938638
Size: 35.23 MB
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Studienarbeit aus dem Jahr 2007 im Fachbereich BWL - Allgemeines, Note: 1,3, Johann Wolfgang Goethe-Universitat Frankfurt am Main (Lehrstuhl fur Volkswirtschaftswirtschaftslehre, insbesondere Industrieokonomie Prof. Dr. Uwe Walz), Veranstaltung: Wettbewerbspolitik und Regulierung von Finanzintermediaren, 7 Quellen im Literaturverzeichnis, Sprache: Deutsch, Abstract: Die vorliegende Seminararbeit befasst sich, auf Basis des von Ackermann, McEnally und Ravenscraft (Ackermann et al.) verfassten Artikels The Performance of Hedge Funds: Risk, Return, and Incentives," mit der Analyse der Performance von Hedge Funds. Im Rahmen dieses Artikels werden Untersuchungen der Performance-Komponenten, Rendite und Risiko, mit Hilfe statistischer Verfahren beschrieben und deren Ergebnisse dargestellt. Ziel dieser Untersuchungen war es zum einen zu erforschen, ob Hedge Funds in der Lage sind den Markt bzw. vergleichbare Anlageformen konstant zu ubertreffen. Hierfur wurden Performance-Vergleiche zwischen Hedge Funds und reprasentativen Marktindices bzw. Mutual Funds vorgenommen. Zum anderen sollte der Einfluss bestimmter Hedge Funds Eigenschaften auf die Performance erforscht werden. Diese Zusammenhange wurden mittels einer multiplen Regression analysiert. Der Artikel von Ackermann et al. geht neben der Vorgehensweise und den Resultate der Untersuchungen auch auf moglicherweise auftretende Probleme und systematische Messfehler der Analyse von Hedge Funds Daten ein. In der vorliegenden Seminararbeit sollen die wichtigsten Gesichtspunkte des Artikels wiedergeben werden. Es wird daher in Kapitel 2 zunachst ein kurzer Uberblick uber die Anlageform Hedge Funds gegeben, bevor in Kapitel 3 auf die statistischen Untersuchungen von Ackermann et al. naher eingegangen wird. In Kapitel 4 sollen dann die Resultate der Untersuchungen vorgestellt und kurz mogliche Interpretationen dargestellt werden. Anschliessend werden in Kapitel 5 die systematischen Messfehler, welche bei der Analyse von Hedge Fu