Profitability of intraday and interday momentum strategies
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DOI: 10.1080/13504850600606067
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Cited by:
- Kai-Yin Woo & Chulin Mai & Michael McAleer & Wing-Keung Wong, 2020. "Review on Efficiency and Anomalies in Stock Markets," Economies, MDPI, vol. 8(1), pages 1-51, March.
- Michael McAleer & John Suen & Wing Keung Wong, 2016.
"Profiteering from the Dot-Com Bubble, Subprime Crisis and Asian Financial Crisis,"
The Japanese Economic Review, Springer, vol. 67(3), pages 257-279, September.
- Michael McAleer & John Suen & Wing Keung Wong, 2016. "Profiteering from the Dot-Com Bubble, Subprime Crisis and Asian Financial Crisis," The Japanese Economic Review, Japanese Economic Association, vol. 67(3), pages 257-279, September.
- Michael McAleer & John Suen & Wing Keung Wong, 2013. "Profiteering from the Dot-com Bubble, Sub-Prime Crisis and Asian Financial Crisis," Documentos de Trabajo del ICAE 2013-18, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico, revised Jun 2013.
- Michael McAleer & John Suen & Wing Keung Wong, 2013. "Profiteering from the Dot-com Bubble, Sub-Prime Crisis and Asian Financial Crisis," KIER Working Papers 869, Kyoto University, Institute of Economic Research.
- Michael McAleer & John Suen & Wing Keung Wong, 2013. "Profiteering from the Dot-com Bubble, Sub-Prime Crisis and Asian Financial Crisis," Tinbergen Institute Discussion Papers 13-077/III, Tinbergen Institute.
- Michael McAleer & John Suen & Wing Keung Wong, 2013. "Profiteering from the Dot-com Bubble, Sub-Prime Crisis and Asian Financial Crisis," Working Papers in Economics 13/20, University of Canterbury, Department of Economics and Finance.
- Wong, Wing-Keung & McAleer, Michael, 2009. "Mapping the Presidential Election Cycle in US stock markets," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(11), pages 3267-3277.
- Chia-Lin Chang & Michael McAleer & Wing-Keung Wong, 2018.
"Big Data, Computational Science, Economics, Finance, Marketing, Management, and Psychology: Connections,"
JRFM, MDPI, vol. 11(1), pages 1-29, March.
- Chia-Lin Chang & Michael McALeer & Wing-Keung Wong, 2018. "Big Data, Computational Science, Economics, Finance, Marketing, Management, and Psychology: Connections," Tinbergen Institute Discussion Papers 18-011/III, Tinbergen Institute.
- Chang, C-L. & McAleer, M.J. & Wong, W.-K., 2018. "Big Data, Computational Science, Economics, Finance, Marketing, Management, and Psychology: Connections," Econometric Institute Research Papers EI2018-08, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- Chia-Lin Chang & Wing-Keung Wong & Michael McAleer, 2018. "Big data, computational science, economics, finance, marketing, management, and psychology: connections," Documentos de Trabajo del ICAE 2018-05, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- Chia-Lin Chang & Michael McAleer & Wing-Keung Wong, 2018. "Decision Sciences, Economics, Finance, Business, Computing, And Big Data: Connections," Advances in Decision Sciences, Asia University, Taiwan, vol. 22(1), pages 36-94, December.
- Chang, C-L. & McAleer, M.J. & Wong, W.-K., 2018.
"Decision Sciences, Economics, Finance, Business, Computing, and Big Data: Connections,"
Econometric Institute Research Papers
18-024/III, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- Chia-Lin Chang & Michael McAleer & Wing-Keung Wong, 2018. "Decision Sciences, Economics, Finance, Business, Computing, and Big Data: Connections," Tinbergen Institute Discussion Papers 18-024/III, Tinbergen Institute.
- Chia-Lin Chang & Michael McAleer & Wing-Keung Wong, 2018. "Decision Sciences, Economics, Finance, Business, Computing, and Big Data: Connections," Documentos de Trabajo del ICAE 2018-09, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- Alfred Ma, 2022. "Profitability of technical trading strategies under market manipulation," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-9, December.
- Tran Thai Ha Nguyen & Massoud Moslehpour & Thi Thuy Van Vo & Wing-Keung Wong, 2020. "State Ownership and Risk-Taking Behavior: An Empirical Approach to Get Better Profitability, Investment, and Trading Strategies for Listed Corporates in Vietnam," Economies, MDPI, vol. 8(2), pages 1-21, June.
- Chia-Lin Chang & Michael McAleer & Wing-Keung Wong, 2018.
"Big Data, Computational Science, Economics, Finance, Marketing, Management, and Psychology: Connections,"
Journal of Risk and Financial Management,
MDPI, Open Access Journal, vol. 11(1), pages 1-29, March.
- Chang, C-L. & McAleer, M.J. & Wong, W.-K., 2018. "Big Data, Computational Science, Economics, Finance, Marketing, Management, and Psychology: Connections," Econometric Institute Research Papers EI2018-08, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- Chang, C-L. & McAleer, M.J. & Wong, W.-K., 2018. "Big Data, Computational Science, Economics, Finance, Marketing, Management, and Psychology: Connections," Econometric Institute Research Papers EI 2018-08, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- Chia-Lin Chang & Michael McALeer & Wing-Keung Wong, 2018. "Big Data, Computational Science, Economics, Finance, Marketing, Management, and Psychology: Connections," Tinbergen Institute Discussion Papers 18-011/III, Tinbergen Institute.
- Chia-Lin Chang & Wing-Keung Wong & Michael McAleer, 2018. "Big data, computational science, economics, finance, marketing, management, and psychology: connections," Documentos de Trabajo del ICAE 2018-05, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- Paulo Sergio Ceretta & Alexandre Silva Da costa, 2017. "The Gap Effect on the Brazilian Exchange," Economics Bulletin, AccessEcon, vol. 37(4), pages 2505-2516.
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