Arifur Rahman

Personal Details

First Name:	Arifur
Middle Name:
Last Name:	Rahman
Suffix:
RePEc Short-ID:	pra1226
Terminal Degree:	School of Business; University of Western Sydney (from RePEc Genealogy)

Affiliation

Department of Economics
North South University

Dhaka, Bangladesh
http://www.northsouth.edu/academic/sbe/economics.html
RePEc:edi:densubd (more details at EDIRC)

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

1. Reaz Chowdhury & M. Arifur Rahman & M. Sohel Rahman & M. R. C. Mahdy, 2019. "Predicting and Forecasting the Price of Constituents and Index of Cryptocurrency Using Machine Learning," Papers 1905.08444, arXiv.org.

   Cited by:

   1. Sudersan Behera & Sarat Chandra Nayak & A. V. S. Pavan Kumar, 2024. "Evaluating the Performance of Metaheuristic Based Artificial Neural Networks for Cryptocurrency Forecasting," Computational Economics, Springer;Society for Computational Economics, vol. 64(2), pages 1219-1258, August.
   2. Kerolly Kedma Felix do Nascimento & Fábio Sandro dos Santos & Jader Silva Jale & Silvio Fernando Alves Xavier Júnior & Tiago A. E. Ferreira, 2023. "Extracting Rules via Markov Chains for Cryptocurrencies Returns Forecasting," Computational Economics, Springer;Society for Computational Economics, vol. 61(3), pages 1095-1114, March.

Articles

1. Shah Saeed Hassan Chowdhury & Rashida Sharmin & M Arifur Rahman, 2019. "Presence and Sources of Contrarian Profits in the Bangladesh Stock Market," Global Business Review, International Management Institute, vol. 20(1), pages 84-104, February.

   Cited by:

   1. Xuebing Yang & Huilan Zhang, 2023. "Evolution of short-term contrarian profits," Studies in Economics and Finance, Emerald Group Publishing Limited, vol. 41(1), pages 1-27, July.
   2. Ali Fayyaz Munir & Mohd Edil Abd. Sukor & Shahrin Saaid Shaharuddin, 2022. "Adaptive Market Hypothesis and Time-varying Contrarian Effect: Evidence From Emerging Stock Markets of South Asia," SAGE Open, , vol. 12(1), pages 21582440211, January.

2. Mohammed Aminu Sualihu & M. Arifur Rahman & Zakiya Tofik-Abu, 2017. "The Payment Behavior of Water Utility Customers in the Greater Accra Region of Ghana: An Empirical Analysis," SAGE Open, , vol. 7(3), pages 21582440177, September.

   Cited by:

   1. Onoja Sunday, 2023. "Customers’ Satisfaction of Municipal Water Supply in Jos-Metropolis, Plateau State Nigeria," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 7(2), pages 628-643, February.

3. Shah Saeed Hassan Chowdhury & M. Arifur Rahman & M. Shibley Sadique, 2017. "Stock return autocorrelation, day of the week and volatility," Review of Accounting and Finance, Emerald Group Publishing Limited, vol. 16(2), pages 218-238, May.

   Cited by:

   1. Yassin Eltahir & Fethi Klabi & Osama Azmi Sallam & Hussien Omer Osman, 2019. "Interrelations in Saudi Stocks Market," International Journal of Economics and Financial Issues, Econjournals, vol. 9(3), pages 91-97.
   2. Andrew Adewale Alola, 2021. "Evidence of speculative bubbles and regime switch in real estate market and crude oil price: Insight from Saudi Arabia," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(3), pages 3473-3483, July.
   3. Yassin Eltahir & Hussien Omer Osman & Osama Azmi Sallam & Fethi Klabi, 2019. "Short Run and Long Run Relationships between Saudi Stocks," International Journal of Economics and Financial Issues, Econjournals, vol. 9(1), pages 193-196.

4. Shah Saeed Hassan Chowdhury & M. Arifur Rahman & M. Shibley Sadique, 2015. "Behaviour of Stock Return Autocorrelation in the GCC Stock Markets," Global Business Review, International Management Institute, vol. 16(5), pages 737-746, October.

   Cited by:

   1. Fotini Economou & Konstantinos Gavriilidis & Bartosz Gebka & Vasileios Kallinterakis, 2022. "Feedback trading: a review of theory and empirical evidence," Review of Behavioral Finance, Emerald Group Publishing Limited, vol. 15(4), pages 429-476, February.
   2. Mahsa Ghorbani & Edwin K P Chong, 2020. "Stock price prediction using principal components," PLOS ONE, Public Library of Science, vol. 15(3), pages 1-20, March.
   3. Amare Wubishet Ayele & Emmanuel Gabreyohannes & Yohannes Yebabe Tesfay, 2017. "Macroeconomic Determinants of Volatility for the Gold Price in Ethiopia: The Application of GARCH and EWMA Volatility Models," Global Business Review, International Management Institute, vol. 18(2), pages 308-326, April.
   4. Mobeen Ur Rehman, 2017. "Dynamics of Co-movements among Implied Volatility, Policy Uncertainty and Market Performance," Global Business Review, International Management Institute, vol. 18(6), pages 1478-1487, December.
   5. Moonis Shakeel & Bhavana Srivastava, 2021. "Stylized Facts of High-frequency Financial Time Series Data," Global Business Review, International Management Institute, vol. 22(2), pages 550-564, April.
   6. Ngo Thai Hung, 2021. "Financial connectedness of GCC emerging stock markets," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 11(4), pages 753-773, December.

5. Mohammed Aminu Sualihu & M. Arifur Rahman, 2014. "Payment Behaviour of Electricity Consumers: Evidence from the Greater Accra Region of Ghana," Global Business Review, International Management Institute, vol. 15(3), pages 477-492, September.

   Cited by:

   1. Randriamaro, Mary Tiana & Espinola-Arredondo, Ana & Fuente, David & Cook, Joseph, 2024. "A theoretical model of utility bill payment behavior," EfD Discussion Paper 24-1, Environment for Development, University of Gothenburg.
   2. Jhumur Sengupta, 2020. "The Effect of Non-pecuniary-based Incentive Mechanisms to Reduce Water Usage at the Household Level and to Achieve Positive Environmental Outcomes," Global Business Review, International Management Institute, vol. 21(5), pages 1232-1248, October.

6. M. Shibley Sadique & M. Arifur Rahman, 2013. "Investor reaction to strategic emphasis on earnings numbers: An empirical study," Contemporary Economics, University of Economics and Human Sciences in Warsaw., vol. 7(3), September.

   Cited by:

   1. Zulfikar Ikhsan Pane & Roy Sembel & Yvonne Agustine, 2021. "Street earnings as a mediator of the effect of intellectual capital disclosure, customer value, and research development activities on firm value," Technium Social Sciences Journal, Technium Science, vol. 25(1), pages 242-259, November.

More information

Research fields, statistics, top rankings, if available.

Statistics

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 1 paper announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.

1. NEP-BIG: Big Data (1) 2019-05-27
2. NEP-CMP: Computational Economics (1) 2019-05-27
3. NEP-FMK: Financial Markets (1) 2019-05-27
4. NEP-FOR: Forecasting (1) 2019-05-27
5. NEP-PAY: Payment Systems and Financial Technology (1) 2019-05-27

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