Algoet, P.; Cover, T. (1988) Asymptotic optimality, asymptotic equipartition properties of logoptimal investments, Annals of Probability, 16, pp. 876-898
Atsalakis, G. S. Valavanis, K. P. (2009) Surveying stock market forecasting techniques-Part II. Soft computing methods. Expert Systems with Applications, 36(3), pp. 5932-5941
Bajgrowicz, P; Scaillet, O. (2012) Technical trading revisited: False discoveries, persistence tests, and transaction costs, Journal of Financial Economics, Vol. 106, pp. 473-491
Chauvin, Y.; Rumelhart, D. E. (1995) Back propagation: Theory, architectures, and applications. New Jersey: Lawrence Erlbaum associates.
Dai, W.; Wu, J-Y.; Lu, C-J. (2012) Combining nonlinear independent component analysis and neural network for the prediction of Asian stock market indexes. Expert Systems with Application, 39(4), pp. 4444-4452
Daróczi, G. et al. (2013) Introduction to R for Quantitative Finance, Packt
Györfi, L.; Lugosy, G.; Udina, F. (2006) Non-parametric Kernel-based...
Mastering R for Quantitative Finance
Mastering R for Quantitative Finance
Overview of this book
Table of Contents (20 chapters)
Mastering R for Quantitative Finance
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
Free Chapter
Time Series Analysis
Factor Models
Forecasting Volume
Big Data – Advanced Analytics
FX Derivatives
Interest Rate Derivatives and Models
Exotic Options
Optimal Hedging
Fundamental Analysis
Technical Analysis, Neural Networks, and Logoptimal Portfolios
Asset and Liability Management
Capital Adequacy
Systemic Risks
Index
Customer Reviews