Kategoria BISAC: Business & Economics >> Insurance - Risk Assessment & Management

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...

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...

Enterprise risk management has always been important. However, the events of the 21st Century have made it even more critical. The top level of business management became suspect after scandals at ENRON, WorldCom, and other business entities. Financially, many firms experienced difficulties from bubbles. The problems of interacting cultures demonstrated risk from terrorism as well, with numerous terrorist attacks, to include 9/11 in the U.S. Risks can arise in many facets of business. Businesses in fact exist to cope with risk in their area of specialization. Financial risk management has...