The Application of Technical Analysis in Stock Price Forecasting: Non-linear Probability Models and Artificial Neural Networks

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KHANJARPANAH HOSSEIN; Dourvash Davoud; SHAVVALPOUR SAEED; JABBARZADEH ARMIN

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Title

The Application of Technical Analysis in Stock Price Forecasting: Non-linear Probability Models and Artificial Neural Networks

Author(s)

KHANJARPANAH HOSSEIN | Dourvash Davoud | SHAVVALPOUR SAEED | JABBARZADEH ARMIN | Issue Writer Certificate

Keywords

Artificial neural networksQ2

LogitQ1

ProbitQ1

Technical indicatiorsQ1

Tehran Stock ExchangeQ1

Abstract

Stock price forecasting is one of the main challenges in stock market which investors and analysts are faced with. To forecast the future prices and future trend, different tools have been used among which we can refer to technical and fundamental analysis. It is noticed that technical analysis has good performance in short-time forecasting. Hence, in this paper, technical analysis has been used to estimate the probability function of stock prices. To forecast the direction of stock price movement in the following day, Artificial neural networks (ANN), Logit, Probit, and extreme value models are utilized. To evaluate the performance of proposed models, daily values of Iran Khodro company stock are considered as a real case study. The nonparametric test of equality of ratios shows that the difference between the forecasting results of different models is not statistically significant. However, according to forecasting error criterion, the Probit model is more efficient than other mentioned models.

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APA: Copy

KHANJARPANAH, HOSSEIN, Dourvash, Davoud, SHAVVALPOUR, SAEED, & JABBARZADEH, ARMIN. (2018). The Application of Technical Analysis in Stock Price Forecasting: Non-linear Probability Models and Artificial Neural Networks. JOURNAL OF FINANCIAL MANAGEMENT STRATEGY, 6(3 (22)), 59-79. SID. https://sid.ir/paper/261630/en

Vancouver: Copy

KHANJARPANAH HOSSEIN, Dourvash Davoud, SHAVVALPOUR SAEED, JABBARZADEH ARMIN. The Application of Technical Analysis in Stock Price Forecasting: Non-linear Probability Models and Artificial Neural Networks. JOURNAL OF FINANCIAL MANAGEMENT STRATEGY[Internet]. 2018;6(3 (22)):59-79. Available from: https://sid.ir/paper/261630/en

IEEE: Copy

HOSSEIN KHANJARPANAH, Davoud Dourvash, SAEED SHAVVALPOUR, and ARMIN JABBARZADEH, “The Application of Technical Analysis in Stock Price Forecasting: Non-linear Probability Models and Artificial Neural Networks,” JOURNAL OF FINANCIAL MANAGEMENT STRATEGY, vol. 6, no. 3 (22), pp. 59–79, 2018, [Online]. Available: https://sid.ir/paper/261630/en

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