Financial Engineering with Copulas Explained

Financial Engineering with Copulas Explained PDF Author: J. Mai
Publisher: Springer
ISBN: 1137346310
Category : Business & Economics
Languages : en
Pages : 200

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Book Description
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 PDF Author: J. Mai
Publisher: Springer
ISBN: 1137346310
Category : Business & Economics
Languages : en
Pages : 200

Get Book Here

Book Description
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 PDF Author: J. Mai
Publisher: Springer
ISBN: 1137346310
Category : Business & Economics
Languages : en
Pages : 167

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Book Description
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.

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

Modern Financial Engineering: Counterparty, Credit, Portfolio And Systemic Risks PDF Author: Giuseppe Orlando
Publisher: World Scientific
ISBN: 9811252378
Category : Science
Languages : en
Pages : 434

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Book Description
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 PDF Author: Dongsheng Lu
Publisher: Springer
ISBN: 1137435844
Category : Business & Economics
Languages : en
Pages : 228

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Book Description
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 PDF Author: Marius Hofert
Publisher: Springer
ISBN: 3319896350
Category : Business & Economics
Languages : en
Pages : 274

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Book Description
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.

Advances in System Reliability Engineering

Advances in System Reliability Engineering PDF Author: Mangey Ram
Publisher: Academic Press
ISBN: 0128162724
Category : Technology & Engineering
Languages : en
Pages : 320

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Book Description
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

Principles of Copula Theory

Principles of Copula Theory PDF Author: Fabrizio Durante
Publisher: CRC Press
ISBN: 1439884447
Category : Mathematics
Languages : en
Pages : 331

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Book Description
This book gives readers the solid and formal mathematical background to apply copulas to a range of mathematical areas, such as probability, real analysis, measure theory, and algebraic structures. The authors prove the results as simply as possible and unify various methods scattered throughout the literature in common frameworks, including shuffles of copulas. They also explore connections with related functions, such as quasi-copulas, semi-copulas, and triangular norms, that have been used in different domains.

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

Simulating Copulas: Stochastic Models, Sampling Algorithms, And Applications (Second Edition) PDF Author: Jan-frederik Mai
Publisher: #N/A
ISBN: 9813149264
Category : Mathematics
Languages : en
Pages : 357

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Book Description
'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.

Robustness in Econometrics

Robustness in Econometrics PDF Author: Vladik Kreinovich
Publisher: Springer
ISBN: 3319507427
Category : Technology & Engineering
Languages : en
Pages : 693

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Book Description
This book presents recent research on robustness in econometrics. Robust data processing techniques – i.e., techniques that yield results minimally affected by outliers – and their applications to real-life economic and financial situations are the main focus of this book. The book also discusses applications of more traditional statistical techniques to econometric problems. Econometrics is a branch of economics that uses mathematical (especially statistical) methods to analyze economic systems, to forecast economic and financial dynamics, and to develop strategies for achieving desirable economic performance. In day-by-day data, we often encounter outliers that do not reflect the long-term economic trends, e.g., unexpected and abrupt fluctuations. As such, it is important to develop robust data processing techniques that can accommodate these fluctuations.

Soft Methods for Data Science

Soft Methods for Data Science PDF Author: Maria Brigida Ferraro
Publisher: Springer
ISBN: 3319429728
Category : Technology & Engineering
Languages : en
Pages : 538

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Book Description
This proceedings volume is a collection of peer reviewed papers presented at the 8th International Conference on Soft Methods in Probability and Statistics (SMPS 2016) held in Rome (Italy). The book is dedicated to Data science which aims at developing automated methods to analyze massive amounts of data and to extract knowledge from them. It shows how Data science employs various programming techniques and methods of data wrangling, data visualization, machine learning, probability and statistics. The soft methods proposed in this volume represent a collection of tools in these fields that can also be useful for data science.