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This book proposes a bank risk aggregation framework based on financial statements. Specifically, bank risk aggregation is of great importance to maintain stable operation of banking industry and prevent financial crisis. A major obstacle to bank risk management is the problem of data shortage, which makes many quantitative risk aggregation approaches typically fail. Recently, to overcome the problem of inaccurate total risk results caused by the shortage of risk data, some researchers have proposed a series of financial statements-based bank risk aggregation approaches. However, the existing studies have drawbacks of low frequency and time lag of financial statements data and usually ignore off-balance sheet business risk in bank risk aggregation. Thus, by reviewing the research progress in bank risk aggregation based on financial statements and improving the drawbacks of existing methods, this book proposes a bank risk aggregation framework based on financial statements. It makes full use of information recorded in financial statements, including income statement, on- and off-balance sheet assets, and textual risk disclosures, which solves the problem of data shortage in bank risk aggregation to some extent and improves the reliability and rationality of bank risk aggregation results. This book not only improves the theoretical studies of bank risk aggregation, but also provides an important support for the capital allocation of the banking industry in practice. Thus, this book has theoretical and practical importance for bank managers and researchers of bank risk management.
This book presents a methodology for assessing environmental safety in civil aviation. The methodology allows the comparison of different technological processes and evaluates their impact on the environment. At the same time, the medical and demographic indicators for ecologically unfavorable territories are compared with similar indicators in the control (background) territories in the same climatic and geographical zones. This book contains methodological recommendations for the creation of the system for ecology safety in the organizational structures of civil aviation. This book is useful to a wide audience-students of aviation, lecturers, as well as specialists in the field of ecology and those involved in ensuring the necessary ecology requirements at aviation enterprises.
This book aims to stay one step beyond the innovations of information and communication technologies and smart healthcare management and provides an overview of the risks smart healthcare management could help to alleviate, and those risks it would create or amplify. Inclusive discussions of the core of smart healthcare services in the perspective of system engineering are enclosed, such as smart healthcare definition, data information knowledge service, and intelligent hospital management. Summaries of technological and theoretical innovations spanning each step of the modern healthcare system are included, from health screening, clinical diagnosis, cancer screening, to in-hospital mortality monitoring, minimally invasive surgeries, and medical data storages. Analytics of risks reduced and induced by these innovations are provided, with potential solutions to such risks in healthcare management discussed. This book seeks to provide demonstrative examples of incidence capable innovations of healthcare technologies, which, while greatly enhancing abilities of healthcare workers and institutions, could pose risks to patients and sometimes even greater threats to the integrity of the healthcare system. The style of the book is intended to be demonstrative but most suited for researchers and graduate students, explaining the methodology behind healthcare innovations, with some citations and some deep scholarly reference.
This book focuses on discussing the issues of rating scheme design and risk aggregation of risk matrix, which is a popular risk assessment tool in many fields. Although risk matrix is usually treated as qualitative tool, this book conducts the analysis from the quantitative perspective. The discussed content belongs to the scope of risk management, and to be more specific, it is related to quick risk assessment. This book is suitable for the researchers and practitioners related to qualitative or quick risk assessment and highly helps readers understanding how to design more convincing risk assessment tools and do more accurate risk assessment in a uncertain context.
This book covers sustainable development in smart society's 5.0 using data analytics. The data analytics is the approach of integrating diversified heterogeneous data for predictive analysis to accredit innovation, decision making, business analysis, and strategic decision making. The data science brings together the research in the field of data analytics, online information analytics, and big data analytics to synthesize issues, challenges, and opportunities across smart society 5.0. Accordingly, the book offers an interesting and insightful read for researchers in the areas of decision analytics, cognitive analytics, big data analytics, visual analytics, text analytics, spatial analytics, risk analytics, graph analytics, predictive analytics, and analytics-enabled applications.
This book is in honor of Yasuhiko Takahara, a first-class researcher who has been active for some 50 years at the global level in systems research. Researchers and practitioners from Japan and other countries who have been influenced by Takahara have come together from far and wide to contribute their major research masterpieces in the field of systems research in the broadest sense.While the roots of Takahara's systems research are in general systems theory and systems control theory, he developed his research and teaching in diverse directions such as management information science, engineering, social simulation, and systems thinking. As a result, many of the researchers and practitioners he supervised or influenced have established their own positions and are now active around the world in a wide range of systems research.Volume II is a collection of their masterpieces or representative works in the fields of systems management theory and practice.
This book is in honor of Yasuhiko Takahara, a first-class researcher who has been active for some 50 years at the global level in systems research. Researchers and practitioners from Japan and other countries who have been influenced by Takahara have come together from far and wide to contribute their major research masterpieces in the field of systems research in the broadest sense.While the roots of Takahara's systems research are in general systems theory and systems control theory, he developed his research and teaching in diverse directions such as management information science, engineering, social simulation, and systems thinking. As a result, many of the researchers and practitioners he supervised or influenced have established their own positions and are now active around the world in a wide range of systems research.Volume I is a collection of their masterpieces or representative works in the field of systems theory and modeling.
This book encourages insurance companies and regulators to explore offering Islamic insurance to boost the insurance industry in India. The distinctive features of Takaful also make it appealing even to non-Muslims. According to the 2012 World Takaful Report, India has immense potential for Takaful is based on the size of its Muslim population and the growth of its economy. However, it is surprising that Takaful has yet to be introduced in India since it has been offered in non-majority Muslim countries, such as Singapore, Thailand, and Sri Lanka. When the concept and practice of Takaful are examined, it is free from interest, uncertainty, and gambling. These are the main elements prohibited in Islam. However, it has been evidenced that these elements are also banned in teaching other religions believed by the Indians. Given this landscape, this book fills the gap in research on the viability of Takaful in India, focusing on its empirical aspects by examining the perception of Indian insurance operators toward Takaful.
The answers to the questions of why and how people live where they live as well as how they maintain and integrate with one another are fundamental human settlement issues rooted in history and culture. Human settlements are historically linked to resource availability, fortification, and the mythos of civilizations. Cities play a central role in redefining the interface between human beings and nature. They have revolutionized the human experience by taming natural surroundings and building environments that are human-centric-often narrowing human life outside the experience of wilderness or the untamed. This book is divided into three parts, it examines urban development trends, explores perspectives in energy efficiency and agriculture security, and considers policy development and future scenarios in human-nature relations. It is a compendium of multidisciplinary work that challenges the directions of modernity and offers reference to alternatives. Authors come from a diverse background and international context to address common overarching theories facing current geography-specific problems. An interconnected overtone of the book attempts to link accelerated urbanization and settlement location to how societies are maintained and integrated. Human settlements are shaped by human ecology and the relationship between humans and their interaction with their environment. Two sectors central to human survival are specifically explored: energy and agriculture. Cutting-edge, smart development looks at the latest findings that reflect the on-going debate facing these sectors. A human settlement metric is envisioned in terms of the past, present, and future. This book is a unique attempt to combine a rethinking about human settlements for scientists, policy-makers, public officials, and people committed to improving urban life, society-wide. Possible agents to resolving human settlement problems include international cooperation and various mechanisms that interlace the international community. Methodological and applied aspects of sustainable management focus on topics such as adaptive knowledge sharing, renewable energy, climate change, agricultural planning, and policy development. An emphasis on scientific and technological advancement, from a bottom-up mapping of society, elucidates a better understanding of the role of knowledgeable societies in which need is considered alongside how such need can be sustained-advancing towards a more promising future.
This book is about the establishment of the Insolvency and Bankruptcy Code, in 2016, one of the most important new developments in Indian commercial law. The law has major implications for firms, their creditors, and a variety of the professional services that feed into the decisions of borrowers and lenders including lawyers, accountants and valuers. A new profession of insolvency professionals has come to exist owing to the law. There are several questions about bankruptcy reform in the mind of researchers, policy makers and practitioners. How has the reform progressed? How has it reshaped the incentives of firms? What are the difficulties faced? What are the optimal paths for borrowers and lenders and their advisors under the rubric of the law? How should laws and institutions be modified? The book has a unique set of chapters, by key people who have shaped the field which offer novel insights into these questions.The book has been edited by key people who have worked on bankruptcy reform since 2010. Dr. Sahoo has been the chairperson of the Insolvency and Bankruptcy Board of India since the establishment of this regulatory agency. Dr. Thomas was a member of the Bankruptcy Law Reforms Committee which drafted the IBC, and led the internal team of the BLRC which drafted the law. The book is an authentic and credible analysis of the happenings in the Indian insolvency and bankruptcy ecosystem from the start, with interest areas for international and domestic, economics/finance and law, researcher and practitioner communities.
This book introduces a state-of-art approach in evaluating portfolio management and risk based on artificial intelligence and alternative data. The book covers a textual analysis of news and social media, information extraction from GPS and IoTs data, and risk predictions based on small transaction data, etc. The book summarizes and introduces the advancement in each area and highlights the machine learning and deep learning techniques utilized to achieve the goals. As a complement, it also illustrates examples on how to leverage the python package to visualize and analyze the alternative datasets, and will be of interest to academics, researchers, and students of risk evaluation, risk management, data, AI, and financial innovation.
This book focuses on the alternative techniques and data leveraged for credit risk, describing and analysing the array of methodological approaches for the usage of techniques and/or alternative data for regulatory and managerial rating models. During the last decade the increase in computational capacity, the consolidation of new methodologies to elaborate data and the availability of new information related to individuals and organizations, aided by the widespread usage of internet, set the stage for the development and application of artificial intelligence techniques in enterprises in general and financial institutions in particular. In the banking world, its application is even more relevant, thanks to the use of larger and larger data sets for credit risk modelling. The evaluation of credit risk has largely been based on client data modelling; such techniques (linear regression, logistic regression, decision trees, etc.) and data sets (financial, behavioural, sociologic, geographic, sectoral, etc.) are referred to as "e;traditional"e; and have been the de facto standards in the banking industry. The incoming challenge for credit risk managers is now to find ways to leverage the new AI toolbox on new (unconventional) data to enhance the models' predictive power, without neglecting problems due to results' interpretability while recognizing ethical dilemmas. Contributors are university researchers, risk managers operating in banks and other financial intermediaries and consultants. The topic is a major one for the financial industry, and this is one of the first works offering relevant case studies alongside practical problems and solutions.
This book showcases how the latest and most advanced types of analytical modeling and empirical analysis can help to create value in the global supply chain. Focusing on practical relevance, it shares valuable management insights and addresses key issues in operations management (OM), demonstrating how past research has led to various practices and impacts, while also exploring the aspirations of the latest research. It presents current research on various topics such as global supply chain design, service supply chains, product design, responsible supply chains, performance and incentives in operations, data analytics in health services, new business models in the digital age, and new digital technology advances such as blockchain. In addition, it presents practical case studies on the aforementioned topics.Beyond the value of its contents, the book is intended as a tribute to Professor Morris Cohen, who has been a major contributor to advancing the research frontier in operations management and a driving force in shaping the field.Given its scope, the book will appeal to a wide readership, from researchers and PhD students to practitioners and consultants.
This SpringerBrief introduces methodologies and tools for quantitative understanding and assessment of supply chain risk to critical infrastructure systems. It unites system reliability analysis, optimization theory, detection theory and mechanism design theory to study vendor involvement in overall system security. It also provides decision support for risk mitigation.This SpringerBrief introduces I-SCRAM, a software tool to assess the risk. It enables critical infrastructure operators to make risk-informed decisions relating to the supply chain, while deploying their IT/OT and IoT systems.The authors present examples and case studies on supply chain risk assessment/mitigation of modern connected infrastructure systems such as autonomous vehicles, industrial control systems, autonomous truck platooning and more. It also discusses how vendors of different system components are involved in the overall security posture of the system and how the risk can be mitigated through vendor selection and diversification. The specific topics in this book include: Risk modeling and analysis of IoT supply chains Methodologies for risk mitigation, policy management, accountability, and cyber insurance Tutorial on a software tool for supply chain risk management of IoT These topics are supported by up-to-date summaries of the authors' recent research findings. The authors introduce a taxonomy of supply chain security and discusses the future challenges and directions in securing the supply chains of IoT systems. It also focuses on the need for joint policy and technical solutions to counter the emerging risks, where technology should inform policy and policy should regulate technology development.This SpringerBrief has self-contained chapters, facilitating the readers to peruse individual topics of interest. It provides a broad understanding of the emerging field of cyber supply chain security in the context of IoT systems to academics, industry professionals and government officials.
This book examines the interpretation of the risk-based approach (RBA) and its application across the banking industry. It explores the ways conflicting risk interpretation and deconstruction of money laundering risk have unintended consequences across the banking industry. Furthermore, it offers a theoretical framework that can be adopted and implemented by risk practitioners to address money laundering (ML) risks. The interpretation and application of the RBA influences the way money laundering risk is perceived, presented, and managed, often resulting in misalignment among stakeholders. Moreover, AML practitioners interpret money laundering (ML) risk as an entity that can be contained, largely in ignorance of the fact that ML risk is self-referential.The book therefore addresses complex inter-system feedback phenomena that lead to de-risking and re-risking, and offers a new ML risk communication framework on this basis. It will be of value to researchers and also to stakeholders within financial institutions, financial intelligence units and regulators in the fight against money laundering.
This book provides the statistical basis for quantitative risk management by presenting and explaining the most important distributions. Distributions describe the occurrence and impact of a risk. They are a prerequisite for risk aggregation, risk analysis and risk assessment as required by the German revision standards IDW PS 340, StaRUG and FISG.This book portrays the distributions that are fundamental for enterprise risk management and shows when and how they are used. These include the Bernoulli distribution, the binomial distribution, the Poisson distribution, the uniform distribution, the triangular distribution, the PERT distribution, the modified PERT distribution, the trapezoidal distribution, the custom distribution, the normal distribution, the lognormal distribution, the Weibull distribution, the expert distribution, the poly distribution and the compound distribution. Furthermore, the book explains how the parameterisation of the distributions can be done via expert estimates or algorithmic calibration.
This book constitutes a selection of the best papers from the 15th International Conference on Business Excellence, Digital Economy and New Value Creation, ICBE 2021, held in Bucharest, Romania, in March 2021.This book is a collection of research findings and perspectives related to the digital economy and new value creation, led by the set of improvements and changes in the economic, societal and technological structures and processes towards the effort of reaching the sustainability goals.
This book provides insights from research and practice in how organizations were able to sustain resilience in their global supply chains during the COVID-19 pandemic and to advance the understanding of supply chain risk management. The chapters highlight the lessons learned, insist on new models for resilience, suggest improved supply chain risk methodologies and bridge the gap between research and practice. It helps readers acquire greater knowledge, strategic approaches, new methods, and practical tools for ensuring global supply chain resilience.
This book tackles the problem of complexity within IT environments, i.e., "e;Cybercomplexity,"e; which is generally recognized as a principal source of cybersecurity risk. The book first defines complexity and simplifies its analysis by assuming a probabilistic approach to security risk management. It then proposes a simple model of cybercomplexity that is based on Shannon entropy, a basic concept in information theory. The key drivers of cybercomplexity emerge from this model, where these drivers reveal the scale-dependence of cybersecurity risk and explain why macroscopic security controls are required to address cybersecurity risk on an enterprise scale. The significant operational implications of cybercomplexity are also discussed, thereby providing both a theoretical framework and a practical guide to addressing this longstanding problem in cybersecurity risk management.
Compliance has long been identified by scholars of white-collar crime as a key strategic control device in the regulation of corporations and complex organisations. Nevertheless, this essential process has been largely ignored within criminology as a specific subject for close scrutiny - Corporate Compliance: Crime, Convenience and Control seeks to address this anomaly. This initiating book applies the theory of convenience to provide criminological insight into the enduring self-regulatory phenomenon of corporate compliance. Convenience theory suggests that compliance is challenged when the corporation has a strong financial motive for illegitimate profits, ample organisational opportunities to commit and conceal wrongdoing, and executive willingness for deviant behaviour. Focusing on white-collar deviance and crime within corporations, the book argues that lack of compliance is recurrently a matter of deviant behaviour by senior executives within organisations who abuse their privileged positions to commission, commit and conceal financial crime.
This book provides an investor-friendly presentation of the premises and applications of the quantitative finance models governing investment in one asset class of publicly traded stocks, specifically real estate investment trusts (REITs). The models provide highly advanced analytics for REIT investment, including: portfolio optimization using both historic and predictive return estimation; model backtesting; a complete spectrum of risk assessment and management tools with an emphasis on early warning systems, risk budgeting, estimating tail risk, and factor analysis; derivative valuation; and incorporating ESG ratings into REIT investment. These quantitative finance models are presented in a unified framework consistent with dynamic asset pricing (rational finance). Given its scope and practical orientation, this book will appeal to investors interested in portfolio optimization and innovative tools for investment risk assessment.
This book provides an overview of the evolution of investment and risk, together with a synthesis of research on these developments. It explores how exposures can be modified by measuring and managing them and introduces readers to the latest strategies and trends in investment. Broad in scope, the book covers the most important aspects of investment risk management, including the time value of money, financial markets, equity markets, bond markets, and portfolio theory. Accordingly, it offers a valuable asset for advanced undergraduate and graduate finance students, investors and academics alike.
This book provides engineers and researchers knowledge to help them in system reliability analysis using machine learning, artificial intelligence, big data, genetic algorithm, information theory, multi-criteria decision making, and other techniques. It will also be useful to students learning reliability engineering.The book brings readers up to date with how system reliability relates to the latest techniques of AI, big data, genetic algorithm, information theory, and multi-criteria decision making and points toward future developments in the subject.
The book covers alternative lending using the emergence of Debt Funds in the EU as a case study. The book explores the risks that they can pose to financial stability, and the regulatory and supervisory tools available to mitigate these risks. Through this analysis, the book uncovers the risks and potential risk mitigation tools that can be applied to the alternative lenders-including debt funds and other potential alternative lenders. After identifying the reasons behind the growth of alternative lenders (using as example the assets of Alternative Investment Funds (AIFs) and in particular debt funds) and the simultaneous decrease of the banks' assets, the book analyses the systemic importance of the alternative lenders and the risk channels through which the systemic risk can spread to the banking sector and the financial system. Then, the book deals with the financial innovation-market failure theory and demonstrates that financial innovations (e.g. debt funds, securitisations) can cause market failures, resulting in regulatory interventions. Of interest to banking and financial regulation academics, researchers, and practitioners this book analyses the regulatory provisions in place for both credit institutions and debt funds, including the Basel Accords, the Capital Requirements Directives and Regulations, and the Alternative Investment Fund Managers Directive (AIFMD) and its implementation in various EU jurisdictions, before offering a proposal for a new three-defensive framework applicable to debt funds and to other potential alternative lenders.