Int. J. of Wireless and Mobile Computing   »   2017 Vol.12, No.3

 

 

Title: Stock price fluctuation based on mobile computing

 

Authors: Zhanqi Du; Hongwei Wang; Shiming Wang; Lizhen Zhang; Song Gao; Kaiqiang Guo

 

Addresses:
School of Economics and Management, Tongji University, Shanghai 200092, China; College of Engineering, Shanghai Ocean University, Shanghai 201306, China
School of Economics and Management, Tongji University, Shanghai 200092, China
College of Engineering, Shanghai Ocean University, Shanghai 201306, China
College of Engineering, Shanghai Ocean University, Shanghai 201306, China
School of Economics and Management, Tongji University, Shanghai 200092, China
School of Business, Jinggangshan University, Ji'an 343009, China

 

Abstract: Mobile computing, a relatively mature technique in the field of interactive mobile internet system, is widely used for forecasting the spatial locations and movements of user. This paper takes the stock price fluctuation as the location changes of mobile object, analyses the fluctuation features of stock price and proposes the forecasting model of stock price based on the mobile computing and local linear method. Taking stock S as an example in the Shanghai and Shenzhen stock markets, the paper collects a large amount of data and simulates the forecasting model of intraday stock price and daily closing price. Finally, the experiment results show that this model has good forecast precision and applicability.

 

Keywords: mobile computing; fluctuation model; stock price; forecasting technique.

 

DOI: 10.1504/IJWMC.2017.10005961

 

Int. J. of Wireless and Mobile Computing, 2017 Vol.12, No.3, pp.270 - 279

 

Submission date: 09 Jan 2017
Date of acceptance: 12 Feb 2017
Available online: 27 Jun 2017

 

 

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