📗 Libro en inglés MACHINE LEARNING AND AI IN FINANCE

The significant amount of information available in any field requires a systematic and analytical approach to select the most critical information and anticipate major events During the last decade the world has witnessed a rapid expansion of applications of artificial intelligence AI and machine learning ML algorithms to an increasingly broad range of financial markets and problems Machine learning and AI algorithms facilitate this process understanding modelling and forecasting the behaviour of the most relevant financial variables The main contribution of this book is the presentation of new theoretical and applied AI perspectives to find solutions to unsolved finance questions This volume proposes an optimal model for the volatility smile for modelling high frequency liquidity demand and supply and for the simulation of market microstructure features Other new AI developments explored in this book includes building a universal model for a large number of stocks developing predictive models based on the average price of the crowd forecasting the stock price using the attention mechanism in a neural network clustering multivariate time series into different market states proposing a multivariate distance nonlinear causality test and filtering out fals