Innovation in Risk Analysis – serie

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 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 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 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 delivers a targeted, solution-oriented exploration of rural credit development, integrating institutional economics and finance theories with cutting-edge digital technologies to address real-world challenges in China’s rural financial landscape. Its novel approach lies in the four-dimensional "theory-technology-practice-policy" framework and technology-empowered full-chain credit management solutions, which break new ground in reconciling the urban-rural dual structure constraints. Covering credit information governance, intelligent risk assessment models, digital financial scenario integration, risk mitigation mechanisms, typical case analyses, and policy evolution, the content spans theoretical foundations to practical applications. Intended for researchers in agricultural economics and fintech, rural financial policymakers, and industry practitioners, it strikes a balance between academic rigor and operational relevance. Key features include actionable intelligent risk assessment tools and multi-stakeholder collaborative risk-sharing mechanisms, equipping readers with evidence-based insights to advance inclusive and sustainable rural credit systems.

This book provides readers with a conceptual and applied understanding of the role of risk management in public health issues. In recent years, public health emergencies of international concern have occurred frequently, such as COVID-19 pandemic and multi-country outbreak of monkeypox. Due to the diversity of pathogens, epidemic uncertainty, rapid transmission, extensive impact, and difficulty in governance of emerging infectious diseases, there is a great threat to global health, security and economy. With the development of science and technology, new technologies have also been applied to respond to major public health events, such as big data analysis and active monitoring technology, which have also played an important role in risk management of COVID-19. The progress of health data science has enriched the practice of preparedness and response to major global public health issues. In addition to classic theory and practice on risk management, this book introduces new progresson theories and practices of risk management in public health. The ten chapters are organized under two parts including theories and practices in major public health issues. This book is an essential and timely resource for public health managers, donors, practitioners, organizations, researchers, teachers who are interested and engaged in prevention and control on public health issues and risk management. These audiences should benefit from this approach as the book highlights the theory and practice of public health risk management from a more comprehensive perspective, which were seldom covered before.