Innovations In Quantitative Risk Management PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Innovations In Quantitative Risk Management PDF full book. Access full book title Innovations In Quantitative Risk Management.
Author | : Kathrin Glau |
Publisher | : Springer |
Total Pages | : 434 |
Release | : 2015-01-09 |
Genre | : Mathematics |
ISBN | : 331909114X |
Download Innovations in Quantitative Risk Management Book in PDF, ePub and Kindle
Quantitative models are omnipresent –but often controversially discussed– in todays risk management practice. New regulations, innovative financial products, and advances in valuation techniques provide a continuous flow of challenging problems for financial engineers and risk managers alike. Designing a sound stochastic model requires finding a careful balance between parsimonious model assumptions, mathematical viability, and interpretability of the output. Moreover, data requirements and the end-user training are to be considered as well. The KPMG Center of Excellence in Risk Management conference Risk Management Reloaded and this proceedings volume contribute to bridging the gap between academia –providing methodological advances– and practice –having a firm understanding of the economic conditions in which a given model is used. Discussed fields of application range from asset management, credit risk, and energy to risk management issues in insurance. Methodologically, dependence modeling, multiple-curve interest rate-models, and model risk are addressed. Finally, regulatory developments and possible limits of mathematical modeling are discussed.
Author | : Kathrin Glau |
Publisher | : Springer |
Total Pages | : 438 |
Release | : 2015-01-14 |
Genre | : Mathematics |
ISBN | : 9783319091150 |
Download Innovations in Quantitative Risk Management Book in PDF, ePub and Kindle
Quantitative models are omnipresent –but often controversially discussed– in todays risk management practice. New regulations, innovative financial products, and advances in valuation techniques provide a continuous flow of challenging problems for financial engineers and risk managers alike. Designing a sound stochastic model requires finding a careful balance between parsimonious model assumptions, mathematical viability, and interpretability of the output. Moreover, data requirements and the end-user training are to be considered as well. The KPMG Center of Excellence in Risk Management conference Risk Management Reloaded and this proceedings volume contribute to bridging the gap between academia –providing methodological advances– and practice –having a firm understanding of the economic conditions in which a given model is used. Discussed fields of application range from asset management, credit risk, and energy to risk management issues in insurance. Methodologically, dependence modeling, multiple-curve interest rate-models, and model risk are addressed. Finally, regulatory developments and possible limits of mathematical modeling are discussed.
Author | : Rudiger Frey |
Publisher | : |
Total Pages | : |
Release | : 2010 |
Genre | : |
ISBN | : |
Download Quantitative Risk Management Book in PDF, ePub and Kindle
Author | : Kathrin Glau |
Publisher | : World Scientific |
Total Pages | : 468 |
Release | : 2018-09-14 |
Genre | : Business & Economics |
ISBN | : 9813272570 |
Download Innovations In Insurance, Risk- And Asset Management - Proceedings Of The Innovations In Insurance, Risk- And Asset Management Conference Book in PDF, ePub and Kindle
This book covers recent developments in the interdisciplinary fields of actuarial science, quantitative finance, risk- and asset management. The authors are leading experts from academia and practice who participated in Innovations in Insurance, Risk- and Asset Management, an international conference held at the Technical University of Munich in 2017.The topics covered include the mathematics of extreme risks, systemic risk, model uncertainty, interest rate and hybrid models, alternative investments, dynamic investment strategies, quantitative risk management, asset liability management, liability driven investments, and behavioral finance.This timely selection of topics is highly relevant for the financial industry and addresses current issues both from an academic as well as from a practitioner's point of view.
Author | : Arik Ben Dor |
Publisher | : John Wiley & Sons |
Total Pages | : 421 |
Release | : 2011-11-08 |
Genre | : Business & Economics |
ISBN | : 1118167422 |
Download Quantitative Credit Portfolio Management Book in PDF, ePub and Kindle
An innovative approach to post-crash credit portfolio management Credit portfolio managers traditionally rely on fundamental research for decisions on issuer selection and sector rotation. Quantitative researchers tend to use more mathematical techniques for pricing models and to quantify credit risk and relative value. The information found here bridges these two approaches. In an intuitive and readable style, this book illustrates how quantitative techniques can help address specific questions facing today's credit managers and risk analysts. A targeted volume in the area of credit, this reliable resource contains some of the most recent and original research in this field, which addresses among other things important questions raised by the credit crisis of 2008-2009. Divided into two comprehensive parts, Quantitative Credit Portfolio Management offers essential insights into understanding the risks of corporate bonds—spread, liquidity, and Treasury yield curve risk—as well as managing corporate bond portfolios. Presents comprehensive coverage of everything from duration time spread and liquidity cost scores to capturing the credit spread premium Written by the number one ranked quantitative research group for four consecutive years by Institutional Investor Provides practical answers to difficult question, including: What diversification guidelines should you adopt to protect portfolios from issuer-specific risk? Are you well-advised to sell securities downgraded below investment grade? Credit portfolio management continues to evolve, but with this book as your guide, you can gain a solid understanding of how to manage complex portfolios under dynamic events.
Author | : Kathrin Glau |
Publisher | : |
Total Pages | : |
Release | : 2019 |
Genre | : |
ISBN | : 9789813272569 |
Download Innovations in Insurance, Risk- and Asset Management Book in PDF, ePub and Kindle
Author | : Alexander J. McNeil |
Publisher | : Princeton University Press |
Total Pages | : 720 |
Release | : 2015-05-26 |
Genre | : Business & Economics |
ISBN | : 1400866286 |
Download Quantitative Risk Management Book in PDF, ePub and Kindle
This book provides the most comprehensive treatment of the theoretical concepts and modelling techniques of quantitative risk management. Whether you are a financial risk analyst, actuary, regulator or student of quantitative finance, Quantitative Risk Management gives you the practical tools you need to solve real-world problems. Describing the latest advances in the field, Quantitative Risk Management covers the methods for market, credit and operational risk modelling. It places standard industry approaches on a more formal footing and explores key concepts such as loss distributions, risk measures and risk aggregation and allocation principles. The book's methodology draws on diverse quantitative disciplines, from mathematical finance and statistics to econometrics and actuarial mathematics. A primary theme throughout is the need to satisfactorily address extreme outcomes and the dependence of key risk drivers. Proven in the classroom, the book also covers advanced topics like credit derivatives. Fully revised and expanded to reflect developments in the field since the financial crisis Features shorter chapters to facilitate teaching and learning Provides enhanced coverage of Solvency II and insurance risk management and extended treatment of credit risk, including counterparty credit risk and CDO pricing Includes a new chapter on market risk and new material on risk measures and risk aggregation
Author | : Philippe Jorion |
Publisher | : |
Total Pages | : 644 |
Release | : 2004-01 |
Genre | : Finance |
ISBN | : 9781904339281 |
Download Innovations in Risk Management Book in PDF, ePub and Kindle
A collection of the most significant and influential papers published in The Journal of Risk selected and introduced by editor-in-chief Philippe Jorion - in an anniversary volume that presents the leading edge body of knowledge in quantitative methods to measure the financial risks of complex portfolios.
Author | : Runhuan Feng |
Publisher | : CRC Press |
Total Pages | : 327 |
Release | : 2018-06-13 |
Genre | : Business & Economics |
ISBN | : 1351647725 |
Download An Introduction to Computational Risk Management of Equity-Linked Insurance Book in PDF, ePub and Kindle
The quantitative modeling of complex systems of interacting risks is a fairly recent development in the financial and insurance industries. Over the past decades, there has been tremendous innovation and development in the actuarial field. In addition to undertaking mortality and longevity risks in traditional life and annuity products, insurers face unprecedented financial risks since the introduction of equity-linking insurance in 1960s. As the industry moves into the new territory of managing many intertwined financial and insurance risks, non-traditional problems and challenges arise, presenting great opportunities for technology development. Today's computational power and technology make it possible for the life insurance industry to develop highly sophisticated models, which were impossible just a decade ago. Nonetheless, as more industrial practices and regulations move towards dependence on stochastic models, the demand for computational power continues to grow. While the industry continues to rely heavily on hardware innovations, trying to make brute force methods faster and more palatable, we are approaching a crossroads about how to proceed. An Introduction to Computational Risk Management of Equity-Linked Insurance provides a resource for students and entry-level professionals to understand the fundamentals of industrial modeling practice, but also to give a glimpse of software methodologies for modeling and computational efficiency. Features Provides a comprehensive and self-contained introduction to quantitative risk management of equity-linked insurance with exercises and programming samples Includes a collection of mathematical formulations of risk management problems presenting opportunities and challenges to applied mathematicians Summarizes state-of-arts computational techniques for risk management professionals Bridges the gap between the latest developments in finance and actuarial literature and the practice of risk management for investment-combined life insurance Gives a comprehensive review of both Monte Carlo simulation methods and non-simulation numerical methods Runhuan Feng is an Associate Professor of Mathematics and the Director of Actuarial Science at the University of Illinois at Urbana-Champaign. He is a Fellow of the Society of Actuaries and a Chartered Enterprise Risk Analyst. He is a Helen Corley Petit Professorial Scholar and the State Farm Companies Foundation Scholar in Actuarial Science. Runhuan received a Ph.D. degree in Actuarial Science from the University of Waterloo, Canada. Prior to joining Illinois, he held a tenure-track position at the University of Wisconsin-Milwaukee, where he was named a Research Fellow. Runhuan received numerous grants and research contracts from the Actuarial Foundation and the Society of Actuaries in the past. He has published a series of papers on top-tier actuarial and applied probability journals on stochastic analytic approaches in risk theory and quantitative risk management of equity-linked insurance. Over the recent years, he has dedicated his efforts to developing computational methods for managing market innovations in areas of investment combined insurance and retirement planning.
Author | : Tim Mazzarol |
Publisher | : Springer Nature |
Total Pages | : 529 |
Release | : 2019-11-27 |
Genre | : Business & Economics |
ISBN | : 9811394121 |
Download Entrepreneurship and Innovation Book in PDF, ePub and Kindle
This book provides an overview of the theory, practice and context of entrepreneurship and innovation at both the industry and firm level. It provides a foundation of ideas and understandings designed to shape the reader’s thinking and behaviour to better appreciate the role of innovation and entrepreneurship in modern economies, and to recognise their own abilities in this regard. The book is aimed at students studying advanced levels of entrepreneurship, innovation and related fields as well as practitioners (for example, managers, business owners). As entrepreneurship and innovation are largely indivisible elements and cannot be adequately understood if studied separately, the book provides the reader with an overview of these elements and how they combine to create new value in the market. This edition is updated with recent international research, including research and examples from Europe, the US, and the Asia-Pacific region.