Deep Learning for Financial Engineering

Financial operations are generally related to huge amounts of cash flow with risks and uncertainties attracting much research efforts for the development of sophisticated quantitative models to manage these financial risks. “Financial engineering” is a term coined with the help of modern information technologies. Financial engineering is a cross-disciplinary field for analysts to optimize and analyze various kinds of financial decision making such as risk management, financial portfolio planning, forecasting, trading, hedging, fraud detection, and other applications. Today, the field of financial engineering has successfully integrated a wide range of quantitative analysis disciplines, such as mathematics, statistics, time series, stochastic process, data mining, and artificial intelligence.