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.

Cover -- Title Page -- Copyright -- Contents -- Preface -- 1 Why Big Data? -- Introduction -- Appendix 1.A Coding Big Data in Python -- Reference -- 2 Neural Networks in Finance -- Introduction -- Neural Network Construction Methodology -- The Architecture of Neural Networks -- Choosing the...

In the classic mean-variance portfolio theory as proposed by Harry Markowitz, the weights of the optimized portfolios are directly proportional to the inverse of the asset correlation matrix. However, most of contemporary portfolio optimization research focuses on optimizing the correlation...