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Financial Engineering with Copulas Explained

Financial Engineering with Copulas Explained
Author: J. Mai
Publisher: Springer
Total Pages: 200
Release: 2014-10-02
Genre: Business & Economics
ISBN: 1137346310

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This is a succinct guide to the application and modelling of dependence models or copulas in the financial markets. First applied to credit risk modelling, copulas are now widely used across a range of derivatives transactions, asset pricing techniques and risk models and are a core part of the financial engineer's toolkit.


Financial Engineering with Copulas Explained

Financial Engineering with Copulas Explained
Author: J. Mai
Publisher: Springer
Total Pages: 167
Release: 2014-10-02
Genre: Business & Economics
ISBN: 1137346310

Download Financial Engineering with Copulas Explained Book in PDF, ePub and Kindle

This is a succinct guide to the application and modelling of dependence models or copulas in the financial markets. First applied to credit risk modelling, copulas are now widely used across a range of derivatives transactions, asset pricing techniques and risk models and are a core part of the financial engineer's toolkit.


Copula Methods in Finance

Copula Methods in Finance
Author: Umberto Cherubini
Publisher: John Wiley & Sons
Total Pages: 310
Release: 2004-10-22
Genre: Business & Economics
ISBN: 0470863455

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Copula Methods in Finance is the first book to address the mathematics of copula functions illustrated with finance applications. It explains copulas by means of applications to major topics in derivative pricing and credit risk analysis. Examples include pricing of the main exotic derivatives (barrier, basket, rainbow options) as well as risk management issues. Particular focus is given to the pricing of asset-backed securities and basket credit derivative products and the evaluation of counterparty risk in derivative transactions.


Modern Financial Engineering: Counterparty, Credit, Portfolio And Systemic Risks

Modern Financial Engineering: Counterparty, Credit, Portfolio And Systemic Risks
Author: Giuseppe Orlando
Publisher: World Scientific
Total Pages: 434
Release: 2021-12-28
Genre: Science
ISBN: 9811252378

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The book offers an overview of credit risk modeling and management. A three-step approach is adopted with the contents, after introducing the essential concepts of both mathematics and finance.Initially the focus is on the modeling of credit risk parameters mainly at the level of individual debtor and transaction, after which the book delves into counterparty credit risk, thus providing the link between credit and market risks. The second part is aimed at the portfolio level when multiple loans are pooled and default correlation becomes an important factor to consider and model. In this respect, the book explains how copulas help in modeling. The final stage is the macro perspective when the combination of credit risks related to financial institutions produces systemic risk and affects overall financial stability.The entire approach is two-dimensional as well. First, all modeling steps have replicable programming codes both in R and Matlab. In this way, the reader can experience the impact of changing the default probabilities of a given borrower or the weights of a sector. Second, at each stage, the book discusses the regulatory environment. This is because, at times, regulation can have stricter constraints than the outcome of internal models. In summary, the book guides the reader in modeling and managing credit risk by providing both the theoretical framework and the empirical tools necessary for a modern finance professional. In this sense, the book is aimed at a wide audience in all fields of study: from quants who want to engage in finance to economists who want to learn about coding and modern financial engineering.


The XVA of Financial Derivatives: CVA, DVA and FVA Explained

The XVA of Financial Derivatives: CVA, DVA and FVA Explained
Author: Dongsheng Lu
Publisher: Springer
Total Pages: 218
Release: 2015-11-10
Genre: Business & Economics
ISBN: 1137435844

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This latest addition to the Financial Engineering Explained series focuses on the new standards for derivatives valuation, namely, pricing and risk management taking into account counterparty risk, and the XVA's Credit, Funding and Debt value adjustments.


Elements of Copula Modeling with R

Elements of Copula Modeling with R
Author: Marius Hofert
Publisher: Springer
Total Pages: 267
Release: 2019-01-09
Genre: Business & Economics
ISBN: 3319896350

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This book introduces the main theoretical findings related to copulas and shows how statistical modeling of multivariate continuous distributions using copulas can be carried out in the R statistical environment with the package copula (among others). Copulas are multivariate distribution functions with standard uniform univariate margins. They are increasingly applied to modeling dependence among random variables in fields such as risk management, actuarial science, insurance, finance, engineering, hydrology, climatology, and meteorology, to name a few. In the spirit of the Use R! series, each chapter combines key theoretical definitions or results with illustrations in R. Aimed at statisticians, actuaries, risk managers, engineers and environmental scientists wanting to learn about the theory and practice of copula modeling using R without an overwhelming amount of mathematics, the book can also be used for teaching a course on copula modeling.


Interest Rate Derivatives Explained

Interest Rate Derivatives Explained
Author: J. Kienitz
Publisher: Springer
Total Pages: 264
Release: 2014-12-05
Genre: Business & Economics
ISBN: 1137360070

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Aimed at practitioners who need to understand the current fixed income markets and learn the techniques necessary to master the fundamentals, this book provides a thorough but concise description of fixed income markets, looking at the business, products and structures and advanced modeling of interest rate instruments.


Algorithmic Differentiation in Finance Explained

Algorithmic Differentiation in Finance Explained
Author: Marc Henrard
Publisher: Springer
Total Pages: 112
Release: 2017-09-04
Genre: Business & Economics
ISBN: 3319539795

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This book provides the first practical guide to the function and implementation of algorithmic differentiation in finance. Written in a highly accessible way, Algorithmic Differentiation Explained will take readers through all the major applications of AD in the derivatives setting with a focus on implementation. Algorithmic Differentiation (AD) has been popular in engineering and computer science, in areas such as fluid dynamics and data assimilation for many years. Over the last decade, it has been increasingly (and successfully) applied to financial risk management, where it provides an efficient way to obtain financial instrument price derivatives with respect to the data inputs. Calculating derivatives exposure across a portfolio is no simple task. It requires many complex calculations and a large amount of computer power, which in prohibitively expensive and can be time consuming. Algorithmic differentiation techniques can be very successfully in computing Greeks and sensitivities of a portfolio with machine precision. Written by a leading practitioner who works and programmes AD, it offers a practical analysis of all the major applications of AD in the derivatives setting and guides the reader towards implementation. Open source code of the examples is provided with the book, with which readers can experiment and perform their own test scenarios without writing the related code themselves.


Simulating Copulas: Stochastic Models, Sampling Algorithms, And Applications (Second Edition)

Simulating Copulas: Stochastic Models, Sampling Algorithms, And Applications (Second Edition)
Author: Jan-frederik Mai
Publisher: #N/A
Total Pages: 357
Release: 2017-06-07
Genre: Mathematics
ISBN: 9813149264

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'The book remains a valuable tool both for statisticians who are already familiar with the theory of copulas and just need to develop sampling algorithms, and for practitioners who want to learn copulas and implement the simulation techniques needed to exploit the potential of copulas in applications.'Mathematical ReviewsThe book provides the background on simulating copulas and multivariate distributions in general. It unifies the scattered literature on the simulation of various families of copulas (elliptical, Archimedean, Marshall-Olkin type, etc.) as well as on different construction principles (factor models, pair-copula construction, etc.). The book is self-contained and unified in presentation and can be used as a textbook for graduate and advanced undergraduate students with a firm background in stochastics. Besides the theoretical foundation, ready-to-implement algorithms and many examples make the book a valuable tool for anyone who is applying the methodology.


Advances in System Reliability Engineering

Advances in System Reliability Engineering
Author: Mangey Ram
Publisher: Academic Press
Total Pages: 318
Release: 2018-11-24
Genre: Technology & Engineering
ISBN: 0128162724

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Recent Advances in System Reliability Engineering describes and evaluates the latest tools, techniques, strategies, and methods in this topic for a variety of applications. Special emphasis is put on simulation and modelling technology which is growing in influence in industry, and presents challenges as well as opportunities to reliability and systems engineers. Several manufacturing engineering applications are addressed, making this a particularly valuable reference for readers in that sector. Contains comprehensive discussions on state-of-the-art tools, techniques, and strategies from industry Connects the latest academic research to applications in industry including system reliability, safety assessment, and preventive maintenance Gives an in-depth analysis of the benefits and applications of modelling and simulation to reliability