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Author: Marine Habart-Corlosquet
Publisher: John Wiley & Sons
ISBN: 1118733983
Category : Business & Economics
Languages : en
Pages : 176
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Book Description
With the impact of the recent financial crises, more attention must be given to new models in finance rejecting “Black-Scholes-Samuelson” assumptions leading to what is called non-Gaussian finance. With the growing importance of Solvency II, Basel II and III regulatory rules for insurance companies and banks, value at risk (VaR) – one of the most popular risk indicator techniques plays a fundamental role in defining appropriate levels of equities. The aim of this book is to show how new VaR techniques can be built more appropriately for a crisis situation. VaR methodology for non-Gaussian finance looks at the importance of VaR in standard international rules for banks and insurance companies; gives the first non-Gaussian extensions of VaR and applies several basic statistical theories to extend classical results of VaR techniques such as the NP approximation, the Cornish-Fisher approximation, extreme and a Pareto distribution. Several non-Gaussian models using Copula methodology, Lévy processes along with particular attention to models with jumps such as the Merton model are presented; as are the consideration of time homogeneous and non-homogeneous Markov and semi-Markov processes and for each of these models. Contents 1. Use of Value-at-Risk (VaR) Techniques for Solvency II, Basel II and III. 2. Classical Value-at-Risk (VaR) Methods. 3. VaR Extensions from Gaussian Finance to Non-Gaussian Finance. 4. New VaR Methods of Non-Gaussian Finance. 5. Non-Gaussian Finance: Semi-Markov Models.
Author: Marine Habart-Corlosquet
Publisher: John Wiley & Sons
ISBN: 1118733983
Category : Business & Economics
Languages : en
Pages : 176
Get Book
Book Description
With the impact of the recent financial crises, more attention must be given to new models in finance rejecting “Black-Scholes-Samuelson” assumptions leading to what is called non-Gaussian finance. With the growing importance of Solvency II, Basel II and III regulatory rules for insurance companies and banks, value at risk (VaR) – one of the most popular risk indicator techniques plays a fundamental role in defining appropriate levels of equities. The aim of this book is to show how new VaR techniques can be built more appropriately for a crisis situation. VaR methodology for non-Gaussian finance looks at the importance of VaR in standard international rules for banks and insurance companies; gives the first non-Gaussian extensions of VaR and applies several basic statistical theories to extend classical results of VaR techniques such as the NP approximation, the Cornish-Fisher approximation, extreme and a Pareto distribution. Several non-Gaussian models using Copula methodology, Lévy processes along with particular attention to models with jumps such as the Merton model are presented; as are the consideration of time homogeneous and non-homogeneous Markov and semi-Markov processes and for each of these models. Contents 1. Use of Value-at-Risk (VaR) Techniques for Solvency II, Basel II and III. 2. Classical Value-at-Risk (VaR) Methods. 3. VaR Extensions from Gaussian Finance to Non-Gaussian Finance. 4. New VaR Methods of Non-Gaussian Finance. 5. Non-Gaussian Finance: Semi-Markov Models.
Author: Eric Jondeau
Publisher: Springer Science & Business Media
ISBN: 1846286964
Category : Mathematics
Languages : en
Pages : 541
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Book Description
This book examines non-Gaussian distributions. It addresses the causes and consequences of non-normality and time dependency in both asset returns and option prices. The book is written for non-mathematicians who want to model financial market prices so the emphasis throughout is on practice. There are abundant empirical illustrations of the models and techniques described, many of which could be equally applied to other financial time series.
Author: Michele Leonardo Bianchi
Publisher: World Scientific
ISBN: 9813276215
Category : Business & Economics
Languages : en
Pages : 598
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Book Description
The study of heavy-tailed distributions allows researchers to represent phenomena that occasionally exhibit very large deviations from the mean. The dynamics underlying these phenomena is an interesting theoretical subject, but the study of their statistical properties is in itself a very useful endeavor from the point of view of managing assets and controlling risk. In this book, the authors are primarily concerned with the statistical properties of heavy-tailed distributions and with the processes that exhibit jumps. A detailed overview with a Matlab implementation of heavy-tailed models applied in asset management and risk managements is presented. The book is not intended as a theoretical treatise on probability or statistics, but as a tool to understand the main concepts regarding heavy-tailed random variables and processes as applied to real-world applications in finance. Accordingly, the authors review approaches and methodologies whose realization will be useful for developing new methods for forecasting of financial variables where extreme events are not treated as anomalies, but as intrinsic parts of the economic process.
Author: Dilip B. Madan
Publisher: Cambridge University Press
ISBN: 1316518094
Category : Mathematics
Languages : en
Pages : 283
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Book Description
Explore how market valuation must abandon linearity to deliver efficient resource allocation.
Author: Sandra Rmadi-Saïd
Publisher: John Wiley & Sons
ISBN: 1119804191
Category : Business & Economics
Languages : en
Pages : 194
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Book Description
The brand is the companyÂs most important asset. In their financial statements, companies are faced with a lack of accounting recognition for the brands they have created, and value recognition for the brands they have acquired. This book studies the nature, characteristics and determinants of brand information published in companies annual and financial reports. It presents case studies on the methods of evaluating and developing brands, and analyzes annual reports published by listed companies, whose brands appear in international rankings. It reflects on the inadequacy of information and disclosed data to demonstrate the value of brands and the need to ensure that more reliable and relevant financial information is available to investors. Financial Information and Brand Value goes beyond the simple application of conceptual frameworks in order for the reader to master the practices related to brand valuation.
Author: Aldo Levy
Publisher: John Wiley & Sons
ISBN: 1119522390
Category : Business & Economics
Languages : en
Pages : 408
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Book Description
This book combines the fundamentals of finance with relevance and effectiveness. It allows for the practice of this subject and covers all the programs of business schools, universities' finance courses, and engineering schools. This book is a relevant tool to acquire all the knowledge required for examination success and the achievement of proven practical competences.
Author: Georges Kayanakis
Publisher: John Wiley & Sons
ISBN: 111981989X
Category : Mathematics
Languages : en
Pages : 208
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Book Description
Combining insights from academic research and practical examples, this book aims to better understand the link between financial markets and innovation management. First, we are back to the very definition of innovation and what it means for financial and non-financial companies. Then, we analyze if efficient innovation management by companies is recognized and valued by financial markets. Finally, we focus on innovation within the financial sector: does it really create value outside the financial sector itself. Are Financial innovations value … or risk creators?
Author: Andreas Makrides
Publisher: John Wiley & Sons
ISBN: 111972158X
Category : Mathematics
Languages : en
Pages : 241
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Book Description
Data analysis as an area of importance has grown exponentially, especially during the past couple of decades. This can be attributed to a rapidly growing computer industry and the wide applicability of computational techniques, in conjunction with new advances of analytic tools. This being the case, the need for literature that addresses this is self-evident. New publications are appearing, covering the need for information from all fields of science and engineering, thanks to the universal relevance of data analysis and statistics packages. This book is a collective work by a number of leading scientists, analysts, engineers, mathematicians and statisticians who have been working at the forefront of data analysis. The chapters included in this volume represent a cross-section of current concerns and research interests in these scientific areas. The material is divided into three parts: Financial Data Analysis and Methods, Statistics and Stochastic Data Analysis and Methods, and Demographic Methods and Data Analysis- providing the reader with both theoretical and applied information on data analysis methods, models and techniques and appropriate applications.
Author: Jean-Louis Leignel
Publisher: John Wiley & Sons
ISBN: 1119618274
Category : Business & Economics
Languages : en
Pages : 137
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Book Description
Sustainable Enterprise Performance details a method for evaluating an enterprise’s readiness and progress toward sustainable performance through a comprehensive set of qualitative and quantitative indicators. These indicators cover enterprise strategy for meeting both the impact of the enterprise within the framework of corporate social responsibility and the expectations of stakeholders, evolving and monitoring the product and service offerings and business processes. The second half of the book focuses more closely on fundamental determinants of performance, such as digital transformation and artificial intelligence, corporate culture, ethics and compliance, branding and e-reputation and best-practice Lean management, and provides practical measures against which companies may assess the maturity of their sustainable performance.
Author: Yiannis Dimotikalis
Publisher: John Wiley & Sons
ISBN: 1786306735
Category : Business & Economics
Languages : en
Pages : 306
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Book Description
BIG DATA, ARTIFICIAL INTELLIGENCE AND DATA ANALYSIS SET Coordinated by Jacques Janssen Data analysis is a scientific field that continues to grow enormously, most notably over the last few decades, following rapid growth within the tech industry, as well as the wide applicability of computational techniques alongside new advances in analytic tools. Modeling enables data analysts to identify relationships, make predictions, and to understand, interpret and visualize the extracted information more strategically. This book includes the most recent advances on this topic, meeting increasing demand from wide circles of the scientific community. Applied Modeling Techniques and Data Analysis 1 is a collective work by a number of leading scientists, analysts, engineers, mathematicians and statisticians, working on the front end of data analysis and modeling applications. The chapters cover a cross section of current concerns and research interests in the above scientific areas. The collected material is divided into appropriate sections to provide the reader with both theoretical and applied information on data analysis methods, models and techniques, along with appropriate applications.
