Publication Type:

Conference Paper

Source:

2017 IEEE International Conference on Computational Intelligence and Computing Research, ICCIC 2017, Institute of Electrical and Electronics Engineers Inc. (2018)

ISBN:

9781509066209

URL:

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85057983143&doi=10.1109%2fICCIC.2017.8524316&partnerID=40&md5=8380bf0a087fa1d3cbb3584fea218d95

Keywords:

Abnormal returns, Artificial intelligence, Bombay stock exchanges, Financial markets, Momentum, Momentum strategies, Power sector, Stock price, Telecom, Telecom sector, Time windows

Abstract:

<p>This paper aims to study the momentum strategy in Telecom and Power sector in two time windows (1) 5-5 momentum strategy and (2) 8-8 momentum strategy. Thirteen companies in Telecom sector and Fourteen from Power sector that are listed in Bombay Stock Exchange were studied. The adjusted closing price data of these companies was collected for the period of 2009-2017. This study adopted the Jegadeesh and Titman methodology and the empirical result shows that momentum strategies have Positive returns in Telecom sector but, in Power sector momentum strategies have Negative returns. © 2017 IEEE.</p>

Notes:

cited By 0; Conference of 8th IEEE International Conference on Computational Intelligence and Computing Research, ICCIC 2017 ; Conference Date: 14 December 2017 Through 16 December 2017; Conference Code:142125

Cite this Research Publication

B. Dharshan, Dr. P. Balasubramanian, and Yermal, L., “Momentum Strategy for Making Abnormal Return: Evidence from Power and Telecom Sector”, in 2017 IEEE International Conference on Computational Intelligence and Computing Research, ICCIC 2017, 2018.