Neural Networks in Finance

Neural Networks in Finance PDF Author: Paul D. McNelis
Publisher: Academic Press
ISBN: 0124859674
Category : Business & Economics
Languages : en
Pages : 262

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Book Description
This book explores the intuitive appeal of neural networks and the genetic algorithm in finance. It demonstrates how neural networks used in combination with evolutionary computation outperform classical econometric methods for accuracy in forecasting, classification and dimensionality reduction. McNelis utilizes a variety of examples, from forecasting automobile production and corporate bond spread, to inflation and deflation processes in Hong Kong and Japan, to credit card default in Germany to bank failures in Texas, to cap-floor volatilities in New York and Hong Kong. * Offers a balanced, critical review of the neural network methods and genetic algorithms used in finance * Includes numerous examples and applications * Numerical illustrations use MATLAB code and the book is accompanied by a website

Neural Networks in Finance

Neural Networks in Finance PDF Author: Paul D. McNelis
Publisher: Academic Press
ISBN: 0124859674
Category : Business & Economics
Languages : en
Pages : 262

Get Book

Book Description
This book explores the intuitive appeal of neural networks and the genetic algorithm in finance. It demonstrates how neural networks used in combination with evolutionary computation outperform classical econometric methods for accuracy in forecasting, classification and dimensionality reduction. McNelis utilizes a variety of examples, from forecasting automobile production and corporate bond spread, to inflation and deflation processes in Hong Kong and Japan, to credit card default in Germany to bank failures in Texas, to cap-floor volatilities in New York and Hong Kong. * Offers a balanced, critical review of the neural network methods and genetic algorithms used in finance * Includes numerous examples and applications * Numerical illustrations use MATLAB code and the book is accompanied by a website

Financial Networks

Financial Networks PDF Author: Anna Nagurney
Publisher: Springer Science & Business Media
ISBN: 3642590667
Category : Business & Economics
Languages : en
Pages : 499

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Book Description
Financial analysis is concerned with the study of capital flows over time and space. This book presents a new theory of multi-sector, multi-instrument financial systems based on the visualization of such systems as networks. The framework is both qualitative and computational and depends crucially on the methodologies of finite-dimensional variational inequality theory for the study of statics and equilibrium states and on projected dynamical systems for the study of dynamics and disequilibrium behavior. Moreover, it adds a graphical dimension to the fundamental economic structure of financial systems and their evolution through time.

Neural Networks in Finance and Investing

Neural Networks in Finance and Investing PDF Author: Robert R. Trippi
Publisher: Irwin Professional Publishing
ISBN:
Category : Artificial intelligence
Languages : en
Pages : 872

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Book Description
This completely updated version of the classic first edition offers a wealth of new material reflecting the latest developments in teh field. For investment professionals seeking to maximize this exciting new technology, this handbook is the definitive information source.

The Network Challenge (Chapter 21)

The Network Challenge (Chapter 21) PDF Author: Franklin Allen
Publisher: Pearson Education
ISBN: 0137015518
Category : Business & Economics
Languages : en
Pages : 38

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Book Description
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.

Network Theory and Agent-Based Modeling in Economics and Finance

Network Theory and Agent-Based Modeling in Economics and Finance PDF Author: Anindya S. Chakrabarti
Publisher: Springer Nature
ISBN: 9811383197
Category : Business & Economics
Languages : en
Pages : 458

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Book Description
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.

Contagion! Systemic Risk in Financial Networks

Contagion! Systemic Risk in Financial Networks PDF Author: T. R. Hurd
Publisher: Springer
ISBN: 3319339303
Category : Mathematics
Languages : en
Pages : 139

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Book Description
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.

Networks in Finance

Networks in Finance PDF Author: Franklin Allen
Publisher:
ISBN:
Category :
Languages : en
Pages : 20

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Book Description
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.

Artificial Neural Networks in Finance and Manufacturing

Artificial Neural Networks in Finance and Manufacturing PDF Author: Kamruzzaman, Joarder
Publisher: IGI Global
ISBN: 1591406722
Category : Computers
Languages : en
Pages : 299

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Book Description
"This book presents a variety of practical applications of neural networks in two important domains of economic activity: finance and manufacturing"--Provided by publisher.

Implementing Networks in Banking and Financial Services

Implementing Networks in Banking and Financial Services PDF Author: Dimitris N Chorafas
Publisher: Springer
ISBN: 134909479X
Category : Computers
Languages : en
Pages : 253

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Book Description
The objective of this book is to provide banks and the financial industry at large with an analysis of what is and what is not a network at their service. The background to the book is electronic banking, and the foreground brings into perspective what has been done by forward-looking financial industries and the benefits they have achieved. While banking is today an industry, it cannot be satisfactorily compared to other industries as it operates too much by its own rules. Examples in the text have therefore been restricted to banking only and, more precisely, to the four generations of online financial networks which have evolved over the past twenty years in Japan. This book is a study addressed to the management of financial institutions. Computers and communications technologists will also gain from it both insight and foresight.

SuperHubs

SuperHubs PDF Author: Sandra Navidi
Publisher: Hachette UK
ISBN: 1473645115
Category : Business & Economics
Languages : en
Pages : 320

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Book Description
A BLOOMBERG BEST BOOK OF THE YEAR WINNER - SILVER MEDAL, AXIOM BUSINESS BOOK AWARDS 2018 FOREWORD BY NOURIEL ROUBINI SuperHubs is a rare, behind-the-scenes look at the global financial system and the powerful personal networks through which it is run, at the centre of which sit the Elites - the SuperHubs. Combining an insider's knowledge with principles of network science, Sandra Navidi offers a startling new perspective on how the financial system really operates. SuperHubs reveals what happens at the exclusive, invitation-only platforms - The World Economic Forum in Davos, the meetings of the International Monetary Fund, think-tank gatherings, power lunches, charity events, and private parties. This is the most vivid portrait to date of the global elite: the bank CEOs, fund managers, billionaire financiers and politicians who, through their interlocking relationships and collective influence are transforming the future of our financial system and, for better or worse, shaping our world.