Trend Analysis to observe the Movement of Share Prices: A Reference to BSE Cement Industry
Venkataramanaiah. M1, K. Siva Nageswararao2, Ch. Madhavi Latha3
1Dr. Venkataramanaiah. M, M.Com (Gold Medal), MBA (Fin& HR), NET (Com &Mngt) M. Phil, PhD, Assistant Professor of Commerce, Govt. Degree & PG College, Accredited by NAAC with “B” Grade, Piler, Andhra Pradesh.
2Dr. K. Siva Nageswararao, Assistant Professor, School of Management Studies, Vignan Foundation for Science, Technology & Research, Guntur, Andhra Pradesh, India.
3Ch. Madhavi Latha, Assistant Professor, Dept. of Information Technology, Faculty of Informatics, University of Gondar, Gondar, Ethiopia. 

Manuscript received on 17 April 2019 | Revised Manuscript received on 23 May 2019 | Manuscript published on 30 May 2019 | PP: 2857-2867 | Volume-8 Issue-1, May 2019 | Retrieval Number: A1456058119/19©BEIESP
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Abstract: Forecasting of the stock prices of stock market is considered an important and difficult task due to its dynamics and volatility. In this paper, an earnest attempt has made to predict the movement of stock prices of the stock market indices through trend analysis. It could help the investors to take appropriate investment decisions. This analysis suggests investors when to buy and sell a particular security if it is profitable or vice-versa. Bolzano Weierstrass theorem is considered more suitable for forecasting trends in stock market where the data is large in number. For the purpose of the present study, Bolzano Weierstrass theorem is used to identify the appropriate polynomial curve to imitate observed data. This analysis is used to assist stock market investors identify possible profit making industries in an industry and also help to develop model to pick the best from the given data set for profitable investment decisions.
Keywords: Bombay Stock Exchange (BSE), Bolzano Weierstrass, Trend line, Cement Industries, Time Series.

Scope of the Article: Predictive Analysis