Financial Engineering ai

Blockchain, cryptoassets, and artificial intelligence protocols continue to change the roles of accounting and financial service professionals at a fundamental level. This book examines the impact and influence of these technologies in the financial sector. In particular, this second revised edition examines the impact of these technologies on megatrends such as ESG reporting, remote workforces, real-time reporting, and a shift to a virtual and digital world. It also provides insights on how automation of all kinds—highlighted by AI—are changing the ways in which financial transactions and other information are handled by accounting and finance professionals. Ranging from the implications of blockchains among various organizations, to the rise of cryptoassets for transactions and investing activities, the author provides grounded and action-oriented recommendations for financial practitioners.

Artificial intelligence (AI) is regarded as the science and technology for producing an intelligent machine, particularly, an intelligent computer program. Machine learning is an approach to realizing AI comprising a collection of statistical algorithms, of which deep learning is one such example.

Financial Analysis, Time Series Analysis, Portfolio Optimization, CAPM, Algorithmic Trading, Q-Learning