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Reflecting the fast pace and ever-evolving nature of the financial industry, the Handbook of High-Frequency Trading and Modeling in Finance details how high-frequency analysis presents new systematic approaches to implementing quantitative activities with high-frequency financial data.
Co-edited by acknowledged experts in the quantification of operational risk, Handbook of Operational Risk conveniently and systematically displays all of the financial engineering topics, theories, applications, and current statistical methodologies that are intrinsic to the subject matter.
This authoritative handbook illustrates practical implementation of simulation techniques in the banking and financial industries through use of real-world, time-sensitive applications.
This handbook provides practitioners with a collection of original ideas on foreign exchange rates, and provides the necessary background on relevant concepts, risks, and policies for working in today's international economic climate.
Authored by an acknowledged expert in the quantification of market risk, this one-stop guide conveniently and systematically displays all of the financial engineering topics, theories, applications, and current statistical methodologies that are intrinsic to the subject matter.
* Emphasis throughout the book is placed on models for high-frequency data and applications of statistics and statistical methods to tackle modeling problems within a complex system and systems of systems framework * The book is written and edited by well-known, international experts in the field.
A complete guide to the theory and practice of volatility models in financial engineering Volatility has become a hot topic in this era of instant communications, spawning a great deal of research in empirical finance and time series econometrics.
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 applications of Monte Carlo methods in financial engineering and economics.
Focusing on the quantitative aspects of heavy tailed loss processes in operational risk and relevant insurance analytics, Advances in Heavy Tailed Risk Modeling: A Handbook of Operational Risk presents comprehensive coverage of the latest research on the theories and applications in risk measurement and modeling techniques.
Focusing on the quantitative aspects of heavy tailed loss processes in operational risk and relevant insurance analytics, this book presents coverage of the latest research on the theories and applications in risk measurement and modeling techniques. It offers a complete framework for all aspects of operational risk management.
A guide to the growing importance of extreme value risk theory, methods, and applications in the financial sectorPresenting a uniquely accessible guide, Extreme Events in Finance: A Handbook of Extreme Value Theory and Its Applications features a combination of the theory, methods, and applications of extreme value theory (EVT) in finance and a practical understanding of market behavior including both ordinary and extraordinary conditions.Beginning with a fascinating history of EVTs and financial modeling, the handbook introduces the historical implications that resulted in the applications and then clearly examines the fundamental results of EVT in finance. After dealing with these theoretical results, the handbook focuses on the EVT methods critical for data analysis. Finally, the handbook features the practical applications and techniques and how these can be implemented in financial markets. Extreme Events in Finance: A Handbook of Extreme Value Theory and Its Applications includes:* Over 40 contributions from international experts in the areas of finance, statistics, economics, business, insurance, and risk management* Topical discussions on univariate and multivariate case extremes as well as regulation in financial markets* Extensive references in order to provide readers with resources for further study* Discussions on using R packages to compute the value of risk and related quantitiesThe book is a valuable reference for practitioners in financial markets such as financial institutions, investment funds, and corporate treasuries, financial engineers, quantitative analysts, regulators, risk managers, large-scale consultancy groups, and insurers. Extreme Events in Finance: A Handbook of Extreme Value Theory and Its Applications is also a useful textbook for postgraduate courses on the methodology of EVTs in finance.François Longin, PhD, is Professor in the Department of Finance at ESSEC Business School, France. He has been working on the applications of extreme value theory to financial markets for many years, and his research has been applied by financial institutions in the risk management area including market, credit, and operational risks. His research works can be found in scientific journals such as The Journal of Finance. Dr. Longin is currently a financial consultant with expertise covering risk management for financial institutions and portfolio management for asset management firms.
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