We wrote this book to help financial experts and investors to understand the state of the art of artificial intelligence and machine learning in finance. But first, what is artificial intelligence? The foundations of artificial intelligence lie in the human desire to automate. Often this desire has had foundations in grand civilization-defining visions or economic needs, such as the Antikythera mechanism, circa 200 BCE. Considered to be the oldest known example of an analog computer, it is thought that the mechanism automated the prediction of the positions of the sun, the moon, and the planets to assist in navigation.No matter the specific industry or application, AI has become a new engine of growth. Both finance and banking have been leveraging AI technologies and algorithms, applying them to automate routine tasks, procedures and forecasting, thereby improving overall customer experience.The topics covered in this book make it an invaluable resource for academics, researchers, policymakers, and practitioners alike who want to understand how AI has affected the banking and financial industries and how it will continue to change them in the years to come.Key Features: This book focuses on recent applications of AI to finance, in particular:ohow ML algorithms can forecast signals in the modern dynamic financial world, enabling investors to make data-driven decisions in this rapidly evolving marketohow AI can be leveraged to create sophisticated quantitative tools for comprehensive financial analysis, providing insights that empower informed decision-making and enhance investment strategiesohow to decode the intricacies of market sentiments to uncover valuable insights and gain a deeper understanding of market dynamicsohow to use AI algorithms to optimize risk-return profiles and maximizing investment performanceohow to develop transparent and interpretable models that shed light on risk factors and support effective risk management strategiesohow to deploy reinforcement learning techniques, enabling portfolios to adapt and optimize strategies in response to dynamic market conditions

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