Download or read book Applied Analytics Credit Market Operational and Liquidity Risk written by Johnathan Mun and published by Applied Cqrm Book. This book was released on 2020 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Applied CQRM Book Series showcases how the advanced analytics covered in the Certified in Quantitative Risk Management (CQRM) certification program can be applied to real-life business problems. In Volume V, we show how Credit, Market, Operational, and Liquidity (CMOL) Risks can be modeled using the CMOL software, Risk Simulator, and Modeling Toolkit. Pragmatic applications are emphasized in order to demystify the many elements inherent in risk analysis. A black box will remain a black box if no one can understand the concepts despite its power and applicability. It is only when the black box methods become transparent, so that researchers can understand, apply, and convince others of their results, value-add, and applicability, that the approaches will receive widespread attention. This transparency is achieved through step-by-step applications of quantitative modeling as well as through presenting multiple cases and discussing real-life applications. This book is targeted at those individuals who have completed the CQRM certification program but can also be used by anyone familiar with basic quantitative research methods--there is something for everyone. It is also applicable for use as a second-year MBA/MS-level or introductory PhD textbook. The examples in the book assume some prior knowledge of the subject matter. Additional information on the CQRM program can be obtained at: www.iiper.org www.realoptionsvaluation.com

Download or read book Applied Analytical Credit Market Operational Liquidity Risk written by Johnathan Mun and published by . This book was released on 2019-06-15 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn Applied Project Management by applying Monte Carlo risk simulation, strategic real options, stochastic forecasting, portfolio optimization, data analytics, business intelligence, and decision modeling to quantitative credit, market, operational, and liquidity risk analysis.

Download or read book Credit Risk Analytics written by Bart Baesens and published by John Wiley & Sons. This book was released on 2016-10-03 with total page 517 pages. Available in PDF, EPUB and Kindle. Book excerpt: The long-awaited, comprehensive guide to practical credit risk modeling Credit Risk Analytics provides a targeted training guide for risk managers looking to efficiently build or validate in-house models for credit risk management. Combining theory with practice, this book walks you through the fundamentals of credit risk management and shows you how to implement these concepts using the SAS credit risk management program, with helpful code provided. Coverage includes data analysis and preprocessing, credit scoring; PD and LGD estimation and forecasting, low default portfolios, correlation modeling and estimation, validation, implementation of prudential regulation, stress testing of existing modeling concepts, and more, to provide a one-stop tutorial and reference for credit risk analytics. The companion website offers examples of both real and simulated credit portfolio data to help you more easily implement the concepts discussed, and the expert author team provides practical insight on this real-world intersection of finance, statistics, and analytics. SAS is the preferred software for credit risk modeling due to its functionality and ability to process large amounts of data. This book shows you how to exploit the capabilities of this high-powered package to create clean, accurate credit risk management models. Understand the general concepts of credit risk management Validate and stress-test existing models Access working examples based on both real and simulated data Learn useful code for implementing and validating models in SAS Despite the high demand for in-house models, there is little comprehensive training available; practitioners are left to comb through piece-meal resources, executive training courses, and consultancies to cobble together the information they need. This book ends the search by providing a comprehensive, focused resource backed by expert guidance. Credit Risk Analytics is the reference every risk manager needs to streamline the modeling process.

Download or read book Data Science and Risk Analytics in Finance and Insurance written by Tze Leung Lai and published by CRC Press. This book was released on 2024-10-02 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents statistics and data science methods for risk analytics in quantitative finance and insurance. Part I covers the background, financial models, and data analytical methods for market risk, credit risk, and operational risk in financial instruments, as well as models of risk premium and insolvency in insurance contracts. Part II provides an overview of machine learning (including supervised, unsupervised, and reinforcement learning), Monte Carlo simulation, and sequential analysis techniques for risk analytics. In Part III, the book offers a non-technical introduction to four key areas in financial technology: artificial intelligence, blockchain, cloud computing, and big data analytics. Key Features: Provides a comprehensive and in-depth overview of data science methods for financial and insurance risks. Unravels bandits, Markov decision processes, reinforcement learning, and their interconnections. Promotes sequential surveillance and predictive analytics for abrupt changes in risk factors. Introduces the ABCDs of FinTech: Artificial intelligence, blockchain, cloud computing, and big data analytics. Includes supplements and exercises to facilitate deeper comprehension.

Download or read book Liquidity Risk Management written by Shyam Venkat and published by John Wiley & Sons. This book was released on 2016-03-02 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: The most up-to-date, comprehensive guide on liquidity risk management—from the professionals Written by a team of industry leaders from the Price Waterhouse Coopers Financial Services Regulatory Practice, Liquidity Risk Management is the first book of its kind to pull back the curtain on a global approach to liquidity risk management in the post-financial crisis. Now, as a number of regulatory initiatives emerge, this timely and informative book explores the real-world implications of risk management practices in today's market. Taking a clear and focused approach to the operational and financial obligations of liquidity risk management, the book builds upon a foundational knowledge of banking and capital markets and explores in-depth the key aspects of the subject, including governance, regulatory developments, analytical frameworks, reporting, strategic implications, and more. The book also addresses management practices that are particularly insightful to liquidity risk management practitioners and managers in numerous areas of banking organizations. Each chapter is authored by a Price Waterhouse Coopers partner or director who has significant, hands-on expertise Content addresses key areas of the subject, such as liquidity stress testing and information reporting Several chapters are devoted to Basel III and its implications for bank liquidity risk management and business strategy Includes a dedicated, current, and all-inclusive look at liquidity risk management Complemented with hands-on insight from the field's leading authorities on the subject, Liquidity Risk Management is essential reading for practitioners and managers within banking organizations looking for the most current information on liquidity risk management.

Download or read book Data Science and Risk Analytics in Finance and Insurance written by T L Lai and published by . This book was released on 2024-10 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book presents statistics and data science methods for risk analytics in quantitative finance and insurance. Part I covers the background, financial models, and data analytical methods for market risk, credit risk, and operational risk in financial instruments, as well as models of risk premium and insolvency in insurance contracts. Part II provides an overview of machine learning (including supervised, unsupervised, and reinforcement learning), Monte Carlo simulation, and sequential analysis techniques for risk analytics. In Part III, the book offers a non-technical introduction to four key areas in financial technology: artificial intelligence, blockchain, cloud computing, and big data analytics"--

Download or read book Big Data Analytics for Cyber Physical System in Smart City written by Mohammed Atiquzzaman and published by Springer Nature. This book was released on 2020-01-11 with total page 2049 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers a selection of peer-reviewed papers presented at the first Big Data Analytics for Cyber-Physical System in Smart City (BDCPS 2019) conference, held in Shengyang, China, on 28–29 December 2019. The contributions, prepared by an international team of scientists and engineers, cover the latest advances made in the field of machine learning, and big data analytics methods and approaches for the data-driven co-design of communication, computing, and control for smart cities. Given its scope, it offers a valuable resource for all researchers and professionals interested in big data, smart cities, and cyber-physical systems.

Download or read book Risk management in finance strategies and solutions written by George Wilton and published by Az Boek. This book was released on 2024-04-27 with total page 59 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Research Anthology on Big Data Analytics Architectures and Applications written by Management Association, Information Resources and published by IGI Global. This book was released on 2021-09-24 with total page 1988 pages. Available in PDF, EPUB and Kindle. Book excerpt: Society is now completely driven by data with many industries relying on data to conduct business or basic functions within the organization. With the efficiencies that big data bring to all institutions, data is continuously being collected and analyzed. However, data sets may be too complex for traditional data-processing, and therefore, different strategies must evolve to solve the issue. The field of big data works as a valuable tool for many different industries. The Research Anthology on Big Data Analytics, Architectures, and Applications is a complete reference source on big data analytics that offers the latest, innovative architectures and frameworks and explores a variety of applications within various industries. Offering an international perspective, the applications discussed within this anthology feature global representation. Covering topics such as advertising curricula, driven supply chain, and smart cities, this research anthology is ideal for data scientists, data analysts, computer engineers, software engineers, technologists, government officials, managers, CEOs, professors, graduate students, researchers, and academicians.

Download or read book Data Analytics for Management Banking and Finance written by Foued Saâdaoui and published by Springer Nature. This book was released on 2023-09-19 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a practical guide on the use of various data analytics and visualization techniques and tools in the banking and financial sectors. It focuses on how combining expertise from interdisciplinary areas, such as machine learning and business analytics, can bring forward a shared vision on the benefits of data science from the research point of view to the evaluation of policies. It highlights how data science is reshaping the business sector. It includes examples of novel big data sources and some successful applications on the use of advanced machine learning, natural language processing, networks analysis, and time series analysis and forecasting, among others, in the banking and finance. It includes several case studies where innovative data science models is used to analyse, test or model some crucial phenomena in banking and finance. At the same time, the book is making an appeal for a further adoption of these novel applications in the field of economics and finance so that they can reach their full potential and support policy-makers and the related stakeholders in the transformational recovery of our societies. The book is for stakeholders involved in research and innovation in the banking and financial sectors, but also those in the fields of computing, IT and managerial information systems, helping through this new theory to better specify the new opportunities and challenges. The many real cases addressed in this book also provide a detailed guide allowing the reader to realize the latest methodological discoveries and the use of the different Machine Learning approaches (supervised, unsupervised, reinforcement, deep, etc.) and to learn how to use and evaluate performance of new data science tools and frameworks

Download or read book Analytical Techniques in the Assessment of Credit Risk written by Michalis Doumpos and published by Springer. This book was released on 2018-09-29 with total page 115 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a unique, focused introduction to the analytical skills, methods and techniques in the assessment of credit risk that are necessary to tackle and analyze complex credit problems. It employs models and techniques from operations research and management science to investigate more closely risk models for applications within the banking industry and in financial markets. Furthermore, the book presents the advances and trends in model development and validation for credit scoring/rating, the recent regulatory requirements and the current best practices. Using examples and fully worked case applications, the book is a valuable resource for advanced courses in financial risk management, but also helpful to researchers and professionals working in financial and business analytics, financial modeling, credit risk analysis, and decision science.

Download or read book Advanced Financial Risk Management written by Donald R. Van Deventer and published by . This book was released on 2005 with total page 688 pages. Available in PDF, EPUB and Kindle. Book excerpt: "In Advanced Financial Risk Management: Tools and Techniques for Integrated Credit Risk and Interest Rate Risk Management, Donald R. van Deventer and Kenji Imai, joined by Mark Mesler, extend the concepts outlined in their previous book Credit Risk Models and the Basel Accords and update their 1996 work Financial Risk Analytics. The authors lay out a comprehensive strategy of risk management measures objectives, and hedging techniques that apply to all types of institutions. They describe a performance measurement approach that goes far beyond traditional capital allocation techniques in measuring risk-adjusted shareholder value creation. Most importantly, the authors supplement this strategic view of integrated risk with step-by-step tools and techniques for constructing a risk management system that achieves these objectives." "Supported by a rich array of formulas for basic and advanced risk management calculations, Advanced Financial Risk Management is required reading for practitioners in fund management, pension fund management, banking, insurance and the securities industries."--BOOK JACKET.

Download or read book 2021 International Conference on Big Data Analytics for Cyber Physical System in Smart City written by Mohammed Atiquzzaman and published by Springer Nature. This book was released on 2022-01-01 with total page 1157 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers a selection of peer-reviewed papers presented at the third Big Data Analytics for Cyber-Physical System in Smart City (BDCPS 2021) conference, held in Shanghai, China, on Nov. 27, 2021. The contributions, prepared by an international team of scientists and engineers, cover the latest advances made in the field of machine learning, and big data analytics methods and approaches for the data-driven co-design of communication, computing, and control for smart cities. Given its scope, it offers a valuable resource for all researchers and professionals interested in big data, smart cities, and cyber-physical systems.

Download or read book Powering the Digital Economy Opportunities and Risks of Artificial Intelligence in Finance written by El Bachir Boukherouaa and published by International Monetary Fund. This book was released on 2021-10-22 with total page 35 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper discusses the impact of the rapid adoption of artificial intelligence (AI) and machine learning (ML) in the financial sector. It highlights the benefits these technologies bring in terms of financial deepening and efficiency, while raising concerns about its potential in widening the digital divide between advanced and developing economies. The paper advances the discussion on the impact of this technology by distilling and categorizing the unique risks that it could pose to the integrity and stability of the financial system, policy challenges, and potential regulatory approaches. The evolving nature of this technology and its application in finance means that the full extent of its strengths and weaknesses is yet to be fully understood. Given the risk of unexpected pitfalls, countries will need to strengthen prudential oversight.

Download or read book Enterprise Risk Analytics for Capital Markets written by Raghurami Reddy Etukuru and published by iUniverse. This book was released on 2014-10-09 with total page 433 pages. Available in PDF, EPUB and Kindle. Book excerpt: While quantitative models can help predict the trends in Capital Markets, forecasts don't always hold up and can quickly cause things to spiral out of control and can lead to global risk. In order to reduce systemic risk, the G20 committed to a fundamental reform of the financial system, to correct the fault lines, and to rebuild the financial system as a safer, more resilient source of finance that better serves the real economy. This requires Financial Institutions to develop sound Risk Management practices. In straightforward language, you'll learn about key components of risk management, including risk knowledge, risk quantification, risk data management, risk data aggregation, risk architectures, risk analytics and reporting, risk regulation. You'll also get definitions explaining how different financial products work, mathematical formulas with explanations, and insights on different asset classes, different approaches to hedging, and much more. This book Enterprise Risk Analytics for Capital Markets will help whether you are just beginning a career in risk management or advancing your career with in risk management.

Download or read book Risk Management and Simulation written by Aparna Gupta and published by CRC Press. This book was released on 2013-06-18 with total page 534 pages. Available in PDF, EPUB and Kindle. Book excerpt: The challenges of the current financial environment have revealed the need for a new generation of professionals who combine training in traditional finance disciplines with an understanding of sophisticated quantitative and analytical tools. Risk Management and Simulation shows how simulation modeling and analysis can help you solve risk management problems related to market, credit, operational, business, and strategic risk. Simulation models and methodologies offer an effective way to address many of these problems and are easy for finance professionals to understand and use. Drawing on the author’s extensive teaching experience, this accessible book walks you through the concepts, models, and computational techniques. How Simulation Models Can Help You Manage Risk More Effectively Organized into four parts, the book begins with the concepts and framework for risk management. It then introduces the modeling and computational techniques for solving risk management problems, from model development, verification, and validation to designing simulation experiments and conducting appropriate output analysis. The third part of the book delves into specific issues of risk management in a range of risk types. These include market risk, equity risk, interest rate risk, commodity risk, currency risk, credit risk, liquidity risk, and strategic, business, and operational risks. The author also examines insurance as a mechanism for risk management and risk transfer. The final part of the book explores advanced concepts and techniques. The book contains extensive review questions and detailed quantitative or computational exercises in all chapters. Use of MATLAB® mathematical software is encouraged and suggestions for MATLAB functions are provided throughout. Learn Step by Step, from Basic Concepts to More Complex Models Packed with applied examples and exercises, this book builds from elementary models for risk to more sophisticated, dynamic models for risks that evolve over time. A comprehensive introduction to simulation modeling and analysis for risk management, it gives you the tools to better assess and manage the impact of risk in your organizations. The book can also serve as a support reference for readers preparing for CFA exams, GARP FRM exams, PRMIA PRM exams, and actuarial exams.

Download or read book Cyber Security Intelligence and Analytics written by Zheng Xu and published by Springer Nature. This book was released on 2021-03-09 with total page 995 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the outcomes of the 2021 International Conference on Cyber Security Intelligence and Analytics (CSIA 2021), an international conference dedicated to promoting novel theoretical and applied research advances in the interdisciplinary field of cyber security, particularly focusing on threat intelligence, analytics, and countering cybercrime. The conference provides a forum for presenting and discussing innovative ideas, cutting-edge research findings and novel techniques, methods and applications on all aspects of cyber security intelligence and analytics. Due to COVID-19, Authors, Keynote Speakers and PC committees will attend the conference online.