Why big data? -- Neural networks in finance -- Supervised models -- Semi-supervised learning -- Letting the data speak with unsupervised learning -- Big data factor models -- Data as a signal versus noise -- Applications : big data in options pricing and stochastic modeling -- Data clustering.

"Finance is the study of value and how it is determined. Individuals, small businesses and corporations regularly make use of value determinations for making strategic decisions that affect the future outcomes of their endeavors. The importance of accurate valuations cannot be overestimated;...

This book provides a comprehensive treatment of the theoretical concepts and modelling techniques of quantitative risk management and equips readers - whether financial risk analysts, actuaries, regulators, or students of quantitative finance - with practical tools to solve real-world problems