This book discusses fuzzy business models and focuses on using fuzzy logic in business processes from the perspective of financial institutions when integrating ESG factors and risk. Developing and examining sustainable business models requires an appropriate methodology that would consider the specificity of business models because the measurement of this phenomenon is often based on values from specific ranges and requires a fuzzy approach. According to the law, regulations, and recommendations, financial institutions and businesses must incorporate Environmental Social Governance factors and ESG risk in their decision-making process. Sustainable financial institutions include ESG risk in their risk management system, strategies, and policies. As a result, they hope to mitigate ESG risk and create sustainable value in their business models with an impact on sustainable value creation. This book discusses this phenomenon in detail. One of the first on the market to address the issue of fuzzy business models, the book also deals comprehensively with the fuzzy logic in modeling business processes, decision-making processes, and business models using examples from financial institutions, and will be of interest to researchers, professors, and students of sustainable finance, banking, and sustainable development alongside corporate sustainability.

The aim of this volume is to foster more sustainable business models through financial markets. To that end, it is necessary to know the main global challenges facing financial markets and their impact on creating sustainable value in business models of enterprises in the context of sustainable adaptation. The book focuses on assessing the decision criteria adopted by financial markets in the process of transaction risk valuation, in terms of the presence of Environmental, Social, and Governance (ESG) criteria, and by assessing the impact of including these criteria in the risk assessment process by financial markets in business decisions, leading as a consequence to building new value in the form of a sustainable business model. The book presents global ESG risks facing the financial markets, and discusses how ESG risks are managed and monitored, and how financial markets can measure and operationalize extra-financial risks in its assessment process. The book also analyses ESG risk implications and influences on company behavior, and the actions that companies should take considering the ESG assessment requirements of financial markets. Finally, it provides a comprehensive, structured, and systematic view of how financial markets and companies should adapt and improve their business models. The book provides unique challenges for investors, companies, financial markets, and for our society as a whole, advancing traditional risk management approaches to address global risks.

Environmental risk directly affects the financial stability of banks since they bear the financial consequences of the loss of liquidity of the entities to which they lend and of the financial penalties imposed resulting from the failure to comply with regulations and for actions taken that are harmful to the natural environment. This book explores the impact of environmental risk on the banking sector and analyzes strategies to mitigate this risk with a special emphasis on the role of modelling. It argues that environmental risk modelling allows banks to estimate the patterns and consequences of environmental risk on their operations, and to take measures within the context of asset and liability management to minimize the likelihood of losses. An important role here is played by the environmental risk modelling methodology as well as the software and mathematical and econometric models used. It examines banks’ responses to macroprudential risk, particularly from the point of view of their adaptation strategies; the mechanisms of its spread; risk management and modelling; and sustainable business models. It introduces the basic concepts, definitions, and regulations concerning this type of risk, within the context of its influence on the banking industry. The book is primarily based on a quantitative and qualitative approach and proposes the delivery of a new methodology of environmental risk management and modelling in the banking sector. As such, it will appeal to researchers, scholars, and students of environmental economics, finance and banking, sociology, law, and political sciences.

There are many studies confirming the relationship between financial systems and economic development, but there are few which examine the degree to which financial systems a) impact the quality of information, b) influence sound corporate governance, c) ensure effective mechanisms of risk management, d) mobilize savings and f) facilitate trade. In the context of sustainability, there should also be a line of inquiry into how a particular financial system influences the assurance and implementation of sustainable development principles and goals. This book delivers a methodological approach to designing and assessing sustainable financial systems. It provides an original contribution by prioritizing ESG factors in the decision-making process of financial institutions and identifying their impact on sustainable financial systems. The author argues that to achieve financial stability, it is necessary to have in place mechanisms designed to prevent financial problems from becoming systemic and/or threatening the stability of the financial and economic system, while maintaining (or not undermining) the economy’s ability to sustain growth and perform its other functions. The book primarily takes a simulation and experimental approach. It is the first book to take such a comprehensive look at sustainable financial systems as opposed to sustainable finance in general. It will appeal to academics, students and researchers in the fields of economics, finance and banking, business, management and political and social sciences.

A holistic view on climate risk and practical ways to model and measure it Advanced Analytical Methods for Climate Risk and ESG Risk Management provides risk management professionals and other interested parties with an introduction to climate risk, a detailed history of climate change, and analytical risk management methods. Readers will gain insight on the potential impact of climate change and learn to apply a concrete three-pronged framework for risk modelling and assessment. The management of climate risk—regardless of the size of the business or of the potential loss—is also considered in detail, with discussions of risk allocation, portfolio optimization, regulatory constraints, and sustainable goal setting. The development of advanced risk management analytical methods for ESG and climate risk is limited. This book fills a gap by offering a comprehensive review of modelling theory and methods for addressing the accelerating changes to the planet's climate. Gain thorough background knowledge of climate science, the history of climate change, and the current political and public policy landscape Understand how global climate shifts introduce localized impacts to business Identify, measure, and manage financial and operational risks Utilize a concrete methodology for stress testing portfolios and accounting for risk Risk management professionals in financial institutions, along with academics and advanced students of economics and finance, will be grateful for this comprehensive approach to climate and ESG risk. Regulators will also benefit from the thorough considerations outlined in Advanced Analytical Methods for Climate Risk and ESG Risk Management.

This book aims to contribute to the discussion about the implications of fuzzy logic, neural networks, digital era, and other intelligent techniques on organizations. This book will be very useful for academic researchers and postgraduate students aiming to introduce themselves to the field of quantitative techniques for overcoming uncertain environments and developing models to make decisions. Developments in other theories and socioeconomic and computational changes have shed light on the importance of fuzzy applications in social sciences. The treatment of uncertainty in the economic and business analysis is fundamental and requires instruments compatible with the uncertain environment of economics and business, because most of the traditional models have been overtaken by this reality when trying to make decisions with uncertain information. In the face of information technology, digitization, and uncertainty, organizations confront new opportunities and challenges. In order to take advantage of these opportunities and overcome current and future challenges, it is needed to understand the evolution of these phenomenon.