Network Theory And Financial Risk

Author : Anonim
Publisher : Unknown
Page : 128 pages
File Size : 44,5 Mb
Release : 2016
Category : Electronic
ISBN : 178272219X

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Network Theory and Financial Risk by Anonim Pdf

Author : Kimmo Soramäki,Samantha Cook
Publisher : Unknown
Page : 0 pages
File Size : 53,8 Mb
Release : 2022-04
Category : Financial risk
ISBN : 178272432X

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Network Theory and Financial Risk by Kimmo Soramäki,Samantha Cook Pdf

With new innovations in the field, this new edition of Network Theory and Financial Risk has been fully updated and expanded. A hands-on guide to analysing and modelling financial networks, authors Kimmo Soramäki and Samantha Cook provide an in-depth introduction to network theory and examine the general tools for network analysis. [Resumen de editor]

Author : Anindya S. Chakrabarti,Lukáš Pichl,Taisei Kaizoji
Publisher : Springer Nature
Page : 458 pages
File Size : 41,9 Mb
Release : 2019-10-23
Category : Business & Economics
ISBN : 9789811383199

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Network Theory and Agent-Based Modeling in Economics and Finance by Anindya S. Chakrabarti,Lukáš Pichl,Taisei Kaizoji Pdf

This book presents the latest findings on network theory and agent-based modeling of economic and financial phenomena. In this context, the economy is depicted as a complex system consisting of heterogeneous agents that interact through evolving networks; the aggregate behavior of the economy arises out of billions of small-scale interactions that take place via countless economic agents. The book focuses on analytical modeling, and on the econometric and statistical analysis of the properties emerging from microscopic interactions. In particular, it highlights the latest empirical and theoretical advances, helping readers understand economic and financial networks, as well as new work on modeling behavior using rich, agent-based frameworks. Innovatively, the book combines observational and theoretical insights in the form of networks and agent-based models, both of which have proved to be extremely valuable in understanding non-linear and evolving complex systems. Given its scope, the book will capture the interest of graduate students and researchers from various disciplines (e.g. economics, computer science, physics, and applied mathematics) whose work involves the domain of complexity theory.

Author : Franklin Allen,Ana Babus
Publisher : Pearson Education
Page : 38 pages
File Size : 54,7 Mb
Release : 2009-05-19
Category : Business & Economics
ISBN : 9780137015511

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The Network Challenge (Chapter 21) by Franklin Allen,Ana Babus Pdf

Modern financial systems exhibit a high degree of interdependence, with connections between financial institutions stemming from both the asset and the liability sides of their balance sheets. Networks--broadly understood as a collection of nodes and links between nodes--can be a useful representation of financial systems. By modeling economic interactions, network analysis can better explain certain economic phenomena. In this chapter, Allen and Babus argue that the use of network theories can enrich our understanding of financial systems. They explore several critical issues. First, they address the issue of systemic risk, by studying two questions: how resilient financial networks are to contagion, and how financial institutions form connections when exposed to the risk of contagion. Second, they consider how network theory can be used to explain freezes in the interbank market. Third, they examine how social networks can improve investment decisions and corporate governance, based on recent empirical results. Fourth, they examine the role of networks in distributing primary issues of securities. Finally, they consider the role of networks as a form of mutual monitoring, as in microfinance.

Author : Franklin Allen
Publisher : Unknown
Page : 20 pages
File Size : 55,9 Mb
Release : 2011
Category : Electronic
ISBN : OCLC:1290242538

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Networks in Finance by Franklin Allen Pdf

Modern financial systems exhibit a high degree of interdependence. There are different possible sources of connections between financial institutions, stemming from both the asset and the liability side of their balance sheet. For instance, banks are directly connected through mutual exposures acquired on the interbank market. Likewise, holding similar portfolios or sharing the same mass of depositors creates indirect linkages between financial institutions. Broadly understood as a collection of nodes and links between nodes, networks can be a useful representation of financial systems. By providing means to model the specifics of economic interactions, network analysis can better explain certain economic phenomena. In this paper we argue that the use of network theories can enrich our understanding of financial systems. We review the recent developments in financial networks, highlighting the synergies created from applying network theory to answer financial questions. Further, we propose several directions of research. First, we consider the issue of systemic risk. In this context, two questions arise: how resilient financial networks are to contagion, and how financial institutions form connections when exposed to the risk of contagion. The second issue we consider is how network theory can be used to explain freezes in the interbank market of the type we have observed in August 2007 and subsequently. The third issue is how social networks can improve investment decisions and corporate governance. Recent empirical work has provided some interesting results in this regard. The fourth issue concerns the role of networks in distributing primary issues of securities as, for example, in initial public offerings, or seasoned debt and equity issues. Finally, we consider the role of networks as a form of mutual monitoring as in microfinance.

Author : Jon Danielsson
Publisher : John Wiley & Sons
Page : 307 pages
File Size : 40,6 Mb
Release : 2011-04-20
Category : Business & Economics
ISBN : 9781119977117

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Financial Risk Forecasting by Jon Danielsson Pdf

Financial Risk Forecasting is a complete introduction to practical quantitative risk management, with a focus on market risk. Derived from the authors teaching notes and years spent training practitioners in risk management techniques, it brings together the three key disciplines of finance, statistics and modeling (programming), to provide a thorough grounding in risk management techniques. Written by renowned risk expert Jon Danielsson, the book begins with an introduction to financial markets and market prices, volatility clusters, fat tails and nonlinear dependence. It then goes on to present volatility forecasting with both univatiate and multivatiate methods, discussing the various methods used by industry, with a special focus on the GARCH family of models. The evaluation of the quality of forecasts is discussed in detail. Next, the main concepts in risk and models to forecast risk are discussed, especially volatility, value-at-risk and expected shortfall. The focus is both on risk in basic assets such as stocks and foreign exchange, but also calculations of risk in bonds and options, with analytical methods such as delta-normal VaR and duration-normal VaR and Monte Carlo simulation. The book then moves on to the evaluation of risk models with methods like backtesting, followed by a discussion on stress testing. The book concludes by focussing on the forecasting of risk in very large and uncommon events with extreme value theory and considering the underlying assumptions behind almost every risk model in practical use – that risk is exogenous – and what happens when those assumptions are violated. Every method presented brings together theoretical discussion and derivation of key equations and a discussion of issues in practical implementation. Each method is implemented in both MATLAB and R, two of the most commonly used mathematical programming languages for risk forecasting with which the reader can implement the models illustrated in the book. The book includes four appendices. The first introduces basic concepts in statistics and financial time series referred to throughout the book. The second and third introduce R and MATLAB, providing a discussion of the basic implementation of the software packages. And the final looks at the concept of maximum likelihood, especially issues in implementation and testing. The book is accompanied by a website - www.financialriskforecasting.com – which features downloadable code as used in the book.

Author : Francis X. Diebold,Neil A. Doherty,Richard J. Herring
Publisher : Princeton University Press
Page : 391 pages
File Size : 49,7 Mb
Release : 2010-04-19
Category : Business & Economics
ISBN : 9781400835287

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The Known, the Unknown, and the Unknowable in Financial Risk Management by Francis X. Diebold,Neil A. Doherty,Richard J. Herring Pdf

A clear understanding of what we know, don't know, and can't know should guide any reasonable approach to managing financial risk, yet the most widely used measure in finance today--Value at Risk, or VaR--reduces these risks to a single number, creating a false sense of security among risk managers, executives, and regulators. This book introduces a more realistic and holistic framework called KuU --the K nown, the u nknown, and the U nknowable--that enables one to conceptualize the different kinds of financial risks and design effective strategies for managing them. Bringing together contributions by leaders in finance and economics, this book pushes toward robustifying policies, portfolios, contracts, and organizations to a wide variety of KuU risks. Along the way, the strengths and limitations of "quantitative" risk management are revealed. In addition to the editors, the contributors are Ashok Bardhan, Dan Borge, Charles N. Bralver, Riccardo Colacito, Robert H. Edelstein, Robert F. Engle, Charles A. E. Goodhart, Clive W. J. Granger, Paul R. Kleindorfer, Donald L. Kohn, Howard Kunreuther, Andrew Kuritzkes, Robert H. Litzenberger, Benoit B. Mandelbrot, David M. Modest, Alex Muermann, Mark V. Pauly, Til Schuermann, Kenneth E. Scott, Nassim Nicholas Taleb, and Richard J. Zeckhauser. Introduces a new risk-management paradigm Features contributions by leaders in finance and economics Demonstrates how "killer risks" are often more economic than statistical, and crucially linked to incentives Shows how to invest and design policies amid financial uncertainty

Author : Anindya S. Chakrabarti,Lukáš Pichl,Taisei Kaizoji
Publisher : Unknown
Page : 458 pages
File Size : 50,6 Mb
Release : 2019
Category : Economics
ISBN : 9811383200

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Network Theory and Agent-based Modeling in Economics and Finance by Anindya S. Chakrabarti,Lukáš Pichl,Taisei Kaizoji Pdf

This book presents the latest findings on network theory and agent-based modeling of economic and financial phenomena. In this context, the economy is depicted as a complex system consisting of heterogeneous agents that interact through evolving networks; the aggregate behavior of the economy arises out of billions of small-scale interactions that take place via countless economic agents. The book focuses on analytical modeling, and on the econometric and statistical analysis of the properties emerging from microscopic interactions. In particular, it highlights the latest empirical and theoretical advances, helping readers understand economic and financial networks, as well as new work on modeling behavior using rich, agent-based frameworks. Innovatively, the book combines observational and theoretical insights in the form of networks and agent-based models, both of which have proved to be extremely valuable in understanding non-linear and evolving complex systems. Given its scope, the book will capture the interest of graduate students and researchers from various disciplines (e.g. economics, computer science, physics, and applied mathematics) whose work involves the domain of complexity theory.

Author : Ana Maria Babus
Publisher : Rozenberg Publishers
Page : 135 pages
File Size : 46,9 Mb
Release : 2008
Category : Electronic
ISBN : 9789051708936

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Essays Over Netwerken by Ana Maria Babus Pdf

We find information through our social network. A network of banks handles our financial transactions. And when computers freeze under virus attacks, we are reminded of how pervasive networks are. This work concentrates on two topics. The first part of the thesis studies how highly unequal networks, where links are concentrated on a few key nodes, can emerge. The interest is motivated by how their structure affects their function: the spread of information and disease, for instance, may occur faster in such networks The second part of the thesis applies network theories to gain a better understanding of financial systems. We investigate the strategic motivations of banks to interact with each other when the banking system is exposed to the danger of contagion.

Author : Valery A. Kalyagin,Panos M. Pardalos,Themistocles M. Rassias
Publisher : Springer
Page : 295 pages
File Size : 46,8 Mb
Release : 2014-09-23
Category : Mathematics
ISBN : 9783319096834

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Network Models in Economics and Finance by Valery A. Kalyagin,Panos M. Pardalos,Themistocles M. Rassias Pdf

Using network models to investigate the interconnectivity in modern economic systems allows researchers to better understand and explain some economic phenomena. This volume presents contributions by known experts and active researchers in economic and financial network modeling. Readers are provided with an understanding of the latest advances in network analysis as applied to economics, finance, corporate governance, and investments. Moreover, recent advances in market network analysis that focus on influential techniques for market graph analysis are also examined. Young researchers will find this volume particularly useful in facilitating their introduction to this new and fascinating field. Professionals in economics, financial management, various technologies, and network analysis, will find the network models presented in this book beneficial in analyzing the interconnectivity in modern economic systems.

Author : Jimmy Skoglund,Wei Chen
Publisher : John Wiley & Sons
Page : 576 pages
File Size : 47,9 Mb
Release : 2015-09-04
Category : Business & Economics
ISBN : 9781119157236

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Financial Risk Management by Jimmy Skoglund,Wei Chen Pdf

A global banking risk management guide geared toward the practitioner Financial Risk Management presents an in-depth look at banking risk on a global scale, including comprehensive examination of the U.S. Comprehensive Capital Analysis and Review, and the European Banking Authority stress tests. Written by the leaders of global banking risk products and management at SAS, this book provides the most up-to-date information and expert insight into real risk management. The discussion begins with an overview of methods for computing and managing a variety of risk, then moves into a review of the economic foundation of modern risk management and the growing importance of model risk management. Market risk, portfolio credit risk, counterparty credit risk, liquidity risk, profitability analysis, stress testing, and others are dissected and examined, arming you with the strategies you need to construct a robust risk management system. The book takes readers through a journey from basic market risk analysis to major recent advances in all financial risk disciplines seen in the banking industry. The quantitative methodologies are developed with ample business case discussions and examples illustrating how they are used in practice. Chapters devoted to firmwide risk and stress testing cross reference the different methodologies developed for the specific risk areas and explain how they work together at firmwide level. Since risk regulations have driven a lot of the recent practices, the book also relates to the current global regulations in the financial risk areas. Risk management is one of the fastest growing segments of the banking industry, fueled by banks' fundamental intermediary role in the global economy and the industry's profit-driven increase in risk-seeking behavior. This book is the product of the authors' experience in developing and implementing risk analytics in banks around the globe, giving you a comprehensive, quantitative-oriented risk management guide specifically for the practitioner. Compute and manage market, credit, asset, and liability risk Perform macroeconomic stress testing and act on the results Get up to date on regulatory practices and model risk management Examine the structure and construction of financial risk systems Delve into funds transfer pricing, profitability analysis, and more Quantitative capability is increasing with lightning speed, both methodologically and technologically. Risk professionals must keep pace with the changes, and exploit every tool at their disposal. Financial Risk Management is the practitioner's guide to anticipating, mitigating, and preventing risk in the modern banking industry.

Author : Abdullah Karasan
Publisher : "O'Reilly Media, Inc."
Page : 334 pages
File Size : 47,9 Mb
Release : 2021-12-07
Category : Computers
ISBN : 9781492085201

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Machine Learning for Financial Risk Management with Python by Abdullah Karasan Pdf

Financial risk management is quickly evolving with the help of artificial intelligence. With this practical book, developers, programmers, engineers, financial analysts, risk analysts, and quantitative and algorithmic analysts will examine Python-based machine learning and deep learning models for assessing financial risk. Building hands-on AI-based financial modeling skills, you'll learn how to replace traditional financial risk models with ML models. Author Abdullah Karasan helps you explore the theory behind financial risk modeling before diving into practical ways of employing ML models in modeling financial risk using Python. With this book, you will: Review classical time series applications and compare them with deep learning models Explore volatility modeling to measure degrees of risk, using support vector regression, neural networks, and deep learning Improve market risk models (VaR and ES) using ML techniques and including liquidity dimension Develop a credit risk analysis using clustering and Bayesian approaches Capture different aspects of liquidity risk with a Gaussian mixture model and Copula model Use machine learning models for fraud detection Predict stock price crash and identify its determinants using machine learning models

Author : Mr.Jorge A. Chan-Lau
Publisher : International Monetary Fund
Page : 27 pages
File Size : 45,8 Mb
Release : 2010-04-01
Category : Business & Economics
ISBN : 9781455200665

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Balance Sheet Network Analysis of Too-Connected-to-Fail Risk in Global and Domestic Banking Systems by Mr.Jorge A. Chan-Lau Pdf

The 2008/9 financial crisis highlighted the importance of evaluating vulnerabilities owing to interconnectedness, or Too-Connected-to-Fail risk, among financial institutions for country monitoring, financial surveillance, investment analysis and risk management purposes. This paper illustrates the use of balance sheet-based network analysis to evaluate interconnectedness risk, under extreme adverse scenarios, in banking systems in mature and emerging market countries, and between individual banks in Chile, an advanced emerging market economy.

Author : Paul R. Kleindorfer,Yoram (Jerry) R. Wind,Robert E. Gunther
Publisher : Prentice Hall Professional
Page : 589 pages
File Size : 41,5 Mb
Release : 2009-06-11
Category : Business & Economics
ISBN : 9780137029327

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The Network Challenge by Paul R. Kleindorfer,Yoram (Jerry) R. Wind,Robert E. Gunther Pdf

New Paperback Edition Networks and the Enterprise: Breakthrough Thinking and Actionable Strategies “This book presents an amazing collection of insights on underlying forces and ways to thrive in our post-Coaseian age—an age in which the centralized firm is changing into an agile and resilient network of participants. A must read for a world where unpredictability reigns supreme.” —John Seely Brown, Independent Co-Chair of the Deloitte Center for Edge Innovation, and Senior Fellow at the Annenberg Center for Communication at the University of Southern California “I couldn’t wait to get my hands on this research...I have already begun to put the ideas into practice in designing next-generation open innovation networks...the diversity of ideas and perspectives is truly amazing and will be a terrific resource to anyone seeking to move to new business models based on the power of networks for innovation, marketing, and creating and leveraging big ideas. Job well done!” —Larry Huston, Creator of the “Connect and Develop” program for Procter & Gamble, and Managing Director of 4iNNO, a major Open Innovation consulting practice “In our borderless world, every manager needs to understand the strategic implications of networks. For the first time, The Network Challenge brings together thought leaders from many fields—a team of experts as broad as the network challenge itself.” —Kenichi Ohmae, author of more than 100 books, including the seminal work, The Mind of the Strategist, advisor on global strategy to foreign governments and scores of multinational corporations, selected by The Economist as one of five management gurus in the world. Networks define modern business. Networks introduce new risks (as seen by the rapid spread of contagion in global financial markets) and opportunities (as seen in the rapid rise of network-based businesses). While managers typically view business through the lens of a single firm, this book challenges readers to take a broader view of their enterprises and opportunities. This book’s 28 original essays include CK Prahalad on networks as the new locus of competitive advantage Russell E. Palmer on leadership in a networked global environment Dawn Iacobucci and James M. Salter II on the business implications of social networking Franklin Allen and Ana Babus on contagion in financial markets Steven O. Kimbrough on artificial intelligence, evolutionary computation, and networks Satish Nambisan and Mohan Sawhney on tapping the “global brain” for innovation Manuel E. Sosa on coordination networks in product development Christophe Van den Bulte and Stefan Wuyts on customer networks Christoph Zott and Raphael Amit on using business models to drive network-based strategies Yoram (Jerry) Wind, Victor Fung, and William Fung on network orchestration Valery Yakubovich and Ryan Burg on network-based HR strategy Howard Kunreuther on risk management strategies for an interdependent world Paul R. Kleindorfer and Ilias D. Visvikis on integrating financial and physical networks in global logistics Witold J. Henisz on network-based political and social risk management Boaz Ganor on terrorism networks And much more...

Author : T. R. Hurd
Publisher : Springer
Page : 139 pages
File Size : 44,6 Mb
Release : 2016-05-25
Category : Mathematics
ISBN : 9783319339306

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Contagion! Systemic Risk in Financial Networks by T. R. Hurd Pdf

This volume presents a unified mathematical framework for the transmission channels for damaging shocks that can lead to instability in financial systems. As the title suggests, financial contagion is analogous to the spread of disease, and damaging financial crises may be better understood by bringing to bear ideas from studying other complex systems in our world. After considering how people have viewed financial crises and systemic risk in the past, it delves into the mechanics of the interactions between banking counterparties. It finds a common mathematical structure for types of crises that proceed through cascade mappings that approach a cascade equilibrium. Later chapters follow this theme, starting from the underlying random skeleton graph, developing into the theory of bootstrap percolation, ultimately leading to techniques that can determine the large scale nature of contagious financial cascades.