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1.	Carmona, R. Statistical Analysis of Financial Data in R. : Springer New York, 2014.
2.	Perna, C. Mathematical and Statistical Methods for Actuarial Sciences and Finance. Mathematical and Statistical Methods for Actuarial Sciences and Finance. : Springer International Publishing :, 2014.: 1-190.
3.	Bloomfield, Victor A. A. Using R for Numerical Analysis in Science and Engineering. Using R for Numerical Analysis in Science and Engineering. : CRC Press,, 2014.
4.	Geisler, Benjamin P. Applications of Monte Carlo Method in Science and Engineering.
5.	READ, C. EFFICIENT MARKET HYPOTHESISTS: BACHELIER, SAMUELSON, FAMA, ROSS, TOBIN AND SHILLER. , 2012.
6.	Ang, Clifford S. Analyzing Financial Data and Implementing Financial Models Using R. Analyzing financial data and implementing financial models using R. : Springer International Publishing :, 2015.
7.	Fellingham, G. Doing Bayesian Data Analysis: A Tutorial Introduction with R and BUGS. The American statistician 66.2 (2012): 139-140.
8.	de Jong, P. Generalized Linear Models for Insurance Data. GENERALIZED LINEAR MODELS FOR INSURANCE DATA. : Cambridge University Press,, 2008.: 1-196.
9.	Corazza, M. Is technical analysis able to beat market inefficiency? Mathematical and Statistical Methods for Actuarial Sciences and Finance. : Springer International Publishing :, 2014.: 1-313.
10.	Tsay, Ruey S. Principal Component Analysis and Factor Models. Analysis of financial time series : Wiley Series in Probability and Statistics. , 2010.

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