The Monte Carlo Simulation In Banks
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The Monte Carlo Simulation In Banks
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Author : Svend Reuse
language : en
Publisher: GRIN Verlag
Release Date : 2010-06
The Monte Carlo Simulation In Banks written by Svend Reuse and has been published by GRIN Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-06 with Business & Economics categories.
Scientific Essay from the year 2010 in the subject Business economics - Banking, Stock Exchanges, Insurance, Accounting, grade: keine, Masaryk University (Fakultät für Wirtschaft und Verwaltung), course: ---, language: English, abstract: This article deals with the actual status quo of measuring credit risk in the German banking sector. It defines the kinds of VaR approaches and discusses the basics and models for quantifying credit risk. The VaR tools used in the German banking sector to measure credit risk are analysed in a next step. Further, the complex character of the Monte Carlo approach is explained at the example of an Excel tool. The outlook of this article consists of a critical analysis of the efficiency in the context of the actual financial crisis in Germany. The paper extends the basic aspects of three former publications of the author, published in the specialized banking magazine Bankpraktiker 07-08.2006, pp. 366 - 371, the Conference paper for the ESF Conference on 25.06. - 26.06.2008 in Brno, Czech Republic, pp. 325 - 333 and the ControllerMagazin 05.2009, pp. 84 - 92.
The Monte Carlo Simulation In Banks
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Author : Svend Reuse
language : en
Publisher: GRIN Verlag
Release Date : 2010-06-18
The Monte Carlo Simulation In Banks written by Svend Reuse and has been published by GRIN Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-06-18 with Business & Economics categories.
Scientific Essay from the year 2010 in the subject Business economics - Banking, Stock Exchanges, Insurance, Accounting, grade: keine, Masaryk University (Fakultät für Wirtschaft und Verwaltung), course: ---, language: English, abstract: This article deals with the actual status quo of measuring credit risk in the German banking sector. It defines the kinds of VaR approaches and discusses the basics and models for quantifying credit risk. The VaR tools used in the German banking sector to measure credit risk are analysed in a next step. Further, the complex character of the Monte Carlo approach is explained at the example of an Excel tool. The outlook of this article consists of a critical analysis of the efficiency in the context of the actual financial crisis in Germany. The paper extends the basic aspects of three former publications of the author, published in the specialized banking magazine Bankpraktiker 07-08.2006, pp. 366 – 371, the Conference paper for the ESF Conference on 25.06. – 26.06.2008 in Brno, Czech Republic, pp. 325 – 333 and the ControllerMagazin 05.2009, pp. 84 – 92.
Banking Queuing Problems Solved Using Monte Carlo Simulation
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Author : Warren F. Stevens
language : en
Publisher:
Release Date : 1967
Banking Queuing Problems Solved Using Monte Carlo Simulation written by Warren F. Stevens and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1967 with Monte Carlo method categories.
Monte Carlo Methods In Financial Engineering
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Author : Paul Glasserman
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-03-09
Monte Carlo Methods In Financial Engineering written by Paul Glasserman and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-09 with Mathematics categories.
From the reviews: "Paul Glasserman has written an astonishingly good book that bridges financial engineering and the Monte Carlo method. The book will appeal to graduate students, researchers, and most of all, practicing financial engineers [...] So often, financial engineering texts are very theoretical. This book is not." --Glyn Holton, Contingency Analysis
Handbook In Monte Carlo Simulation
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Author : Paolo Brandimarte
language : en
Publisher: John Wiley & Sons
Release Date : 2014-06-20
Handbook In Monte Carlo Simulation written by Paolo Brandimarte and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-06-20 with Business & Economics categories.
An accessible treatment of Monte Carlo methods, techniques, and applications in the field of finance and economics Providing readers with an in-depth and comprehensive guide, the Handbook in Monte Carlo Simulation: Applications in Financial Engineering, Risk Management, and Economics presents a timely account of the applicationsof Monte Carlo methods in financial engineering and economics. Written by an international leading expert in thefield, the handbook illustrates the challenges confronting present-day financial practitioners and provides various applicationsof Monte Carlo techniques to answer these issues. The book is organized into five parts: introduction andmotivation; input analysis, modeling, and estimation; random variate and sample path generation; output analysisand variance reduction; and applications ranging from option pricing and risk management to optimization. The Handbook in Monte Carlo Simulation features: An introductory section for basic material on stochastic modeling and estimation aimed at readers who may need a summary or review of the essentials Carefully crafted examples in order to spot potential pitfalls and drawbacks of each approach An accessible treatment of advanced topics such as low-discrepancy sequences, stochastic optimization, dynamic programming, risk measures, and Markov chain Monte Carlo methods Numerous pieces of R code used to illustrate fundamental ideas in concrete terms and encourage experimentation The Handbook in Monte Carlo Simulation: Applications in Financial Engineering, Risk Management, and Economics is a complete reference for practitioners in the fields of finance, business, applied statistics, econometrics, and engineering, as well as a supplement for MBA and graduate-level courses on Monte Carlo methods and simulation.
Rare Event Simulation Using Monte Carlo Methods
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Author : Gerardo Rubino
language : en
Publisher: John Wiley & Sons
Release Date : 2009-03-18
Rare Event Simulation Using Monte Carlo Methods written by Gerardo Rubino and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-03-18 with Mathematics categories.
In a probabilistic model, a rare event is an event with a very small probability of occurrence. The forecasting of rare events is a formidable task but is important in many areas. For instance a catastrophic failure in a transport system or in a nuclear power plant, the failure of an information processing system in a bank, or in the communication network of a group of banks, leading to financial losses. Being able to evaluate the probability of rare events is therefore a critical issue. Monte Carlo Methods, the simulation of corresponding models, are used to analyze rare events. This book sets out to present the mathematical tools available for the efficient simulation of rare events. Importance sampling and splitting are presented along with an exposition of how to apply these tools to a variety of fields ranging from performance and dependability evaluation of complex systems, typically in computer science or in telecommunications, to chemical reaction analysis in biology or particle transport in physics. Graduate students, researchers and practitioners who wish to learn and apply rare event simulation techniques will find this book beneficial.
Monte Carlo Simulation And Numerical Integration
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Author : John Geweke
language : en
Publisher:
Release Date : 1995
Monte Carlo Simulation And Numerical Integration written by John Geweke and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Economics categories.
Monte Carlo Simulation And Finance
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Author : Don L. McLeish
language : en
Publisher: John Wiley & Sons
Release Date : 2011-09-13
Monte Carlo Simulation And Finance written by Don L. McLeish and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-09-13 with Business & Economics categories.
Monte Carlo methods have been used for decades in physics, engineering, statistics, and other fields. Monte Carlo Simulation and Finance explains the nuts and bolts of this essential technique used to value derivatives and other securities. Author and educator Don McLeish examines this fundamental process, and discusses important issues, including specialized problems in finance that Monte Carlo and Quasi-Monte Carlo methods can help solve and the different ways Monte Carlo methods can be improved upon. This state-of-the-art book on Monte Carlo simulation methods is ideal for finance professionals and students. Order your copy today.
Monte Carlo Simulation With Applications To Finance
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Author : Hui Wang
language : en
Publisher: CRC Press
Release Date : 2012-05-22
Monte Carlo Simulation With Applications To Finance written by Hui Wang and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-05-22 with Business & Economics categories.
Developed from the author’s course on Monte Carlo simulation at Brown University, Monte Carlo Simulation with Applications to Finance provides a self-contained introduction to Monte Carlo methods in financial engineering. It is suitable for advanced undergraduate and graduate students taking a one-semester course or for practitioners in the financial industry. The author first presents the necessary mathematical tools for simulation, arbitrary free option pricing, and the basic implementation of Monte Carlo schemes. He then describes variance reduction techniques, including control variates, stratification, conditioning, importance sampling, and cross-entropy. The text concludes with stochastic calculus and the simulation of diffusion processes. Only requiring some familiarity with probability and statistics, the book keeps much of the mathematics at an informal level and avoids technical measure-theoretic jargon to provide a practical understanding of the basics. It includes a large number of examples as well as MATLAB® coding exercises that are designed in a progressive manner so that no prior experience with MATLAB is needed.
Handbook Of Financial Risk Management
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Author : Ngai Hang Chan
language : en
Publisher: John Wiley & Sons
Release Date : 2013-06-17
Handbook Of Financial Risk Management written by Ngai Hang Chan and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-06-17 with Business & Economics categories.
An authoritative handbook on risk management techniques and simulations as applied to financial engineering topics, theories, and statistical methodologies The Handbook of Financial Risk Management: Simulations and Case Studies illustrates the practical implementation of simulation techniques in the banking and financial industries through the use of real-world applications. Striking a balance between theory and practice, the Handbook of Financial Risk Management: Simulations and Case Studies demonstrates how simulation algorithms can be used to solve practical problems and showcases how accuracy and efficiency in implementing various simulation methods are indispensable tools in risk management. The book provides the reader with an intuitive understanding of financial risk management and deepens insight into those financial products that cannot be priced traditionally. The Handbook of Financial Risk Management also features: Examples in each chapter derived from consulting projects, current research, and course instruction Topics such as volatility, fixed-income derivatives, LIBOR Market Models, and risk measures Over twenty-four recognized simulation models Commentary, data sets, and computer subroutines available on a chapter-by-chapter basis As a complete reference for practitioners, the book is useful in the fields of finance, business, applied statistics, econometrics, and engineering. The Handbook of Financial Risk Management is also an excellent text or supplement for graduate and MBA-level students in courses on financial risk management and simulation.