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Operational Risk Management
A practical guide to identifying, analyzing and tackling operational risk in banks and financial institutions Created for banking and finance professionals with a desire to expand their management skill set, this book focuses on operational risk and operational risk events, as distinct from other types of functional risks. It was written by the experts at the world-renowned Hong Kong Institute of Bankers, an organization dedicated to providing the international banking community with education and training. Schools you in techniques for analyzing the operational risk exposure of banking institutions and assessing how operational risk impacts on other types of risk Provides expert guidance on...
Managing Operational Risk
Operational risk is the risk of loss from inadequate or failed internal processes, people, and systems or from external events. This book explores the different types of operational risk that threaten financial institutions, and focuses on practical due-diligence methodologies that can be used to identify these risks before it is too late.
Investment Risk Management
Investment Risk Management provides an overview of developments in risk management and a synthesis of research on the subject. The chapters examine ways to alter exposures through measuring and managing risk exposures and provide an understanding of the latest strategies and trends within risk management.
Global Asset Management
This book focuses on all major aspects of the asset management industry including its regulations, strategies, processes, applied technologies and risks. It provides a serious resource for readers seeking greater depth and alternative opinions on specific industry developments, and breadth for specialists interested in the dynamics of the industry.
Signed path dependence in financial markets
In Signed path dependence in financial markets: Applications and implications, computer scientist and academic Fabio Dias delves into cutting-edge techniques at the intersection of machine learning, time series analysis, and finance. This comprehensive guide bridges theory and application, offering readers insights into predictive modeling, algorithmic trading, and the nuanced dynamics of option pricing. Dias combines rigorous econometric methods with hands-on machine learning approaches, presenting a toolkit for anyone looking to leverage data-driven insights to navigate and predict complex financial markets. An essential read for practitioners, researchers, and students of financial engineering and quantitative finance.
Official Gazette
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Handbook of Integrated Risk Management for E-Business
“This book provides a recipe for the practical application of technology and is one of the first instances where the tools and technologies that allow for the implementation of solutions to solve specific problems are actually outlined.” --Dr. Krishna Nathan, Vice President, IBM Research This ground-breaking book integrates converging views of e-business processes and offers ways to manage their inherent risks with advanced modeling techniques. Contributors from leading academic and business organizations explore state-of-the-art adaptive risk analysis systems that support business processes in project portfolio management, operations management, supply chain management, inventory contro...
Emerging Trends and Applications in Cognitive Computing
Though an individual can process a limitless amount of information, the human brain can only comprehend a small amount of data at a time. Using technology can improve the process and comprehension of information, but the technology must learn to behave more like a human brain to employ concepts like memory, learning, visualization ability, and decision making. Emerging Trends and Applications in Cognitive Computing is a fundamental scholarly source that provides empirical studies and theoretical analysis to show how learning methods can solve important application problems throughout various industries and explain how machine learning research is conducted. Including innovative research on topics such as deep neural networks, cyber-physical systems, and pattern recognition, this collection of research will benefit individuals such as IT professionals, academicians, students, researchers, and managers.
Modeling, Measuring and Hedging Operational Risk
Operational risk concerns issues like transaction processing errors, liability situations, and back-office failure. This text focuses on the measuring and modelling techniques banks and investment companies need to quantify operational risk.
