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Operational Research Methods in Business, Finance and Economics
This book gathers selected high-quality papers presented at the 31st European Conference on Operational Research, which was held in Athens, Greece on June 11-14, 2021. It highlights the latest advances in the application of operations research (OR) to technology-driven areas in business, finance, and economics, covering both theoretical and methodological developments, as well as real-world case studies. It also explores the connections between OR and other analytical disciplines, such as soft computing and computer science, which can promote the development of new decision support technologies.
Operational Research in Agriculture and Tourism
This book presents a diverse range of recent operational research techniques that have been applied to agriculture and tourism management. It covers both the primary sector of agriculture and agricultural economics, and the tertiary sector of the tourism industry. Findings and lessons learned from these innovations can be readily applied to various other contexts. The book chiefly focuses on cooperative management issues, and on developing solutions to provide decision support in multi-criteria scenarios.
Research Anthology on Business Law, Policy, and Social Responsibility
The complicated interactions between business, law, and societal expectations pose an unprecedented challenge in modern commerce. Businesses navigate an intricate ecosystem shaped by legal principles, government regulations, and evolving societal values. The Research Anthology on Business Law, Policy, and Social Responsibility comprehensively explores critical issues as societal expectations for responsible business practices rise across a four-volume collection. The anthology's timely significance makes this reference with an exhaustive coverage an indispensable resource. Carefully curated, the collection sheds light on the latest trends, techniques, and applications in business law and pol...
Multiple Criteria Decision Making for Sustainable Development
This book presents a rich collection of studies on the analysis of sustainable development from a multiple criteria decision-making (MCDM) perspective, written by some of the most prominent authors in the field of MCDM/A. The book constitutes a unique international reference guide to the analysis, measurement, and management of sustainability in a multidimensional decision analysis context. Chiefly intended for academics and policymakers, it reflects some of the latest methodological advances in decision-making, which are illustrated in real-life applications to sustainability-related topics in both the private and public sector.
Recent Trends In Financial Engineering: Towards More Sustainable Social Impact
This book is a good collection of state-of-the-art approaches to financial engineering. It will be especially useful to new researchers and practitioners working in this field and will help them to quickly grasp the current state of financial engineering. The book equips the readers with comprehensive understanding of technological issues and financial innovations in environmental and social matters. It will allow the readers to use new econometric and operational methods to examine certain innovative products. Finally, it proposes new operational solutions based on a framework of analysis that has not yet been explored, so that the dialogue between financial engineering professionals and company managers may be more efficient, effective and impactful.
Recent Advances and Applications in Alternative Investments
In recent years, there has been a swell of investment opportunities in contemporary asset classes that have gained considerable attention, including cryptocurrencies, hedge funds, and private equity. These alternative investments provide the opportunity to enhance the diversification of financial portfolios and harvest risk premiums that traditional assets like stocks and bonds fail to provide. The emergence of these new properties has created the need to further understand the mechanics, risks, and returns of alternative investments. Recent Advances and Applications in Alternative Investments is a pivotal reference source that provides vital research on the emergence and development of comp...
Machine Learning Applications for Accounting Disclosure and Fraud Detection
The prediction of the valuation of the “quality” of firm accounting disclosure is an emerging economic problem that has not been adequately analyzed in the relevant economic literature. While there are a plethora of machine learning methods and algorithms that have been implemented in recent years in the field of economics that aim at creating predictive models for detecting business failure, only a small amount of literature is provided towards the prediction of the “actual” financial performance of the business activity. Machine Learning Applications for Accounting Disclosure and Fraud Detection is a crucial reference work that uses machine learning techniques in accounting disclos...
Sustainable Finance and ESG
In recent years sustainable finance along with Environmental, Social and Governance (ESG) aspects and their implications for financial institutions have attracted the attention of academics and policy makers. The aim of the book is to bring together chapters that discuss the most recent empirical and theoretical evidence in the field, along with policy making and regulatory initiatives. The book covers topics such as the changing role of banks in the financial system, the differences between sustainable banks and traditional banks, ESG and financial performance, bank social responsibility and customer satisfaction, ESG risk management of financial institutions, the politics of climate finance and policy initiatives, and the role of bank regulators. It will be of interest to academics and policymakers working in banking, risk management, sustainable finance and related fields.
Analytical Techniques in the Assessment of Credit Risk
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.
Computational Data Analysis Techniques in Economics and Finance
The vast volume of financial data that exists and the globalisation of financial markets create new challenges for researchers and practitioners in economics and finance. Computational data analysis techniques can contribute significantly within this context, by providing a rigorous analytic framework for decision-making and support, in areas such as financial times series analysis and forecasting, risk assessment, trading, asset management, and pricing. The aim of this edited volume is to present, in a unified context, some recent advances in the field, covering the theory, the methodologies, and the applications of computational data analysis methods in economics and finance. The volume consists of papers published in the fifth volume of the Journal of "Computational Optimization in Economics & Finance" (published by Nova Science Publishers). The contents of this volume cover a wide range of topics, including among others stock market applications, corporate finance, corporate performance, as well as macroeconomic issues.
