TY - GEN

T1 - Modern Advanced Analytics Platforms and Predictive Models for Stock Price Forecasting: IBM Watson Analytics Case

AU - Faizullov, Ilias

AU - Yablonsky, Sergey

N1 - Faizullov, I. Modern Advanced Analytics Platforms and Predictive Models for Stock Price Forecasting: IBM Watson Analytics Case / I. Faizullov, S. Yablonsky // The Hawaii International Conference on System Sciences (HICSS). – 2017. – P. 1083-1092.

PY - 2017

Y1 - 2017

N2 - The primary purpose of this paper was to provide an in-depth analysis of the ability of modern analytical platforms (using IBM Watson Analytics as an example) to generate predictive models for stock prices forecasting in comparison with traditional analytical econometric platforms and models. Series of stock predictive models based on the suggestions of IBM Watson Analytics have demonstrated results, which are superior to all other models. In terms of forecasting accuracy, they beat all models except for the Random Walk. The simulation has demonstrated high returns for most of the suggested models.

AB - The primary purpose of this paper was to provide an in-depth analysis of the ability of modern analytical platforms (using IBM Watson Analytics as an example) to generate predictive models for stock prices forecasting in comparison with traditional analytical econometric platforms and models. Series of stock predictive models based on the suggestions of IBM Watson Analytics have demonstrated results, which are superior to all other models. In terms of forecasting accuracy, they beat all models except for the Random Walk. The simulation has demonstrated high returns for most of the suggested models.

KW - Advanced Analytics Platforms

KW - IBM Watson Analytics

KW - Predictive Models for Stock Price Forecasting

U2 - http://hdl.handle.net/10125/41281

DO - http://hdl.handle.net/10125/41281

M3 - Conference contribution

SN - 978-0-9981331-0-2

SP - 1083

EP - 1092

BT - The Hawaii International Conference on System Sciences (HICSS)

ER -