Dynamical Models of Stock Prices Based on Technical Trading Rules Part III: Application to Hong Kong Stocks
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Andrei A. Kirilenko & Andrew W. Lo, 2013. "Moore's Law versus Murphy's Law: Algorithmic Trading and Its Discontents," Journal of Economic Perspectives, American Economic Association, vol. 27(2), pages 51-72, Spring.
- Andrew W. Lo & Harry Mamaysky & Jiang Wang, 2000.
"Foundations of Technical Analysis: Computational Algorithms, Statistical Inference, and Empirical Implementation,"
Journal of Finance, American Finance Association, vol. 55(4), pages 1705-1765, August.
- Andrew Lo & Harry Mamaysky & Jiang Wang, 1999. "Foundations of Technical Analysis: Computational Algorithms, Statistical Inference, and Empirical Implementation," Computing in Economics and Finance 1999 402, Society for Computational Economics.
- Andrew W. Lo & Harry Mamaysky & Jiang Wang, 2000. "Foundations of Technical Analysis: Computational Algorithms, Statistical Inference, and Empirical Implementation," NBER Working Papers 7613, National Bureau of Economic Research, Inc.
- Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
- repec:bla:jfinan:v:55:y:2000:i:4:p:1705-1770 is not listed on IDEAS
- Jean-Philippe Bouchaud & J. Doyne Farmer & Fabrizio Lillo, 2008. "How markets slowly digest changes in supply and demand," Papers 0809.0822, arXiv.org.
- Andrew W. Lo, 2012. "Reading about the Financial Crisis: A Twenty-One-Book Review," Journal of Economic Literature, American Economic Association, vol. 50(1), pages 151-178, March.
- Menkhoff, Lukas, 2010.
"The use of technical analysis by fund managers: International evidence,"
Journal of Banking & Finance, Elsevier, vol. 34(11), pages 2573-2586, November.
- Menkhoff, Lukas, 2010. "The Use of Technical Analysis by Fund Managers: International Evidence," Hannover Economic Papers (HEP) dp-446, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Li-Xin Wang, 2014. "Dynamical Models of Stock Prices Based on Technical Trading Rules Part I: The Models," Papers 1401.1888, arXiv.org, revised Feb 2016.
- Li-Xin Wang, 2014. "Dynamical Models of Stock Prices Based on Technical Trading Rules Part II: Analysis of the Models," Papers 1401.1891, arXiv.org, revised Feb 2016.
- Jin, Xiaoye, 2021. "What do we know about the popularity of technical analysis in foreign exchange markets? A skewness preference perspective," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 71(C).
- Gerritsen, Dirk F., 2016. "Are chartists artists? The determinants and profitability of recommendations based on technical analysis," International Review of Financial Analysis, Elsevier, vol. 47(C), pages 179-196.
- Christopher J. Neely & Paul A. Weller, 2011. "Technical analysis in the foreign exchange market," Working Papers 2011-001, Federal Reserve Bank of St. Louis.
- Jasmina Hasanhodzic & Andrew Lo & Emanuele Viola, 2011.
"A computational view of market efficiency,"
Quantitative Finance, Taylor & Francis Journals, vol. 11(7), pages 1043-1050.
- Jasmina Hasanhodzic & Andrew W. Lo & Emanuele Viola, 2009. "A Computational View of Market Efficiency," Papers 0908.4580, arXiv.org.
- Ebert, Sebastian & Hilpert, Christian, 2019. "Skewness preference and the popularity of technical analysis," Journal of Banking & Finance, Elsevier, vol. 109(C).
- Jying‐Nan Wang & Hung‐Chun Liu & Jiangze Du & Yuan‐Teng Hsu, 2019. "Economic benefits of technical analysis in portfolio management: Evidence from global stock markets," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 24(2), pages 890-902, April.
- Hung, Chiayu & Lai, Hung-Neng, 2022. "Information asymmetry and the profitability of technical analysis," Journal of Banking & Finance, Elsevier, vol. 134(C).
- Farias Nazário, Rodolfo Toríbio & e Silva, Jéssica Lima & Sobreiro, Vinicius Amorim & Kimura, Herbert, 2017. "A literature review of technical analysis on stock markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 66(C), pages 115-126.
- Leandro Maciel, 2020. "Technical analysis based on high and low stock prices forecasts: evidence for Brazil using a fractionally cointegrated VAR model," Empirical Economics, Springer, vol. 58(4), pages 1513-1540, April.
- Chia-Lin Chang & Jukka Ilomäki & Hannu Laurila & Michael McAleer, 2018.
"Long Run Returns Predictability and Volatility with Moving Averages,"
Risks, MDPI, vol. 6(4), pages 1-18, September.
- Chia-Lin Chang & Jukka Ilomäki & Hannu Laurila & Michael McAleer, 2018. "Long Run Returns Predictability and Volatility with Moving Averages," Documentos de Trabajo del ICAE 2018-25, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- Chang, C-L. & Ilomäki, J. & Laurila, H. & McAleer, M.J., 2018. "Long Run Returns Predictability and Volatility with Moving Averages," Econometric Institute Research Papers EI2018-39, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- Bell, Peter N, 2013. "New Testing Procedures to Assess Market Efficiency with Trading Rules," MPRA Paper 46701, University Library of Munich, Germany.
- Stephan Schulmeister, 2000. "Technical Analysis and Exchange Rate Dynamics," WIFO Studies, WIFO, number 25857.
- Mahata, Ajit & Rai, Anish & Nurujjaman, Md. & Prakash, Om, 2021. "Modeling and analysis of the effect of COVID-19 on the stock price: V and L-shape recovery," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 574(C).
- Kun Xing & Honggang Li, 2024. "The profitability of interacting trading strategies from an ecological perspective," Annals of Finance, Springer, vol. 20(3), pages 377-394, September.
- Erdemlioglu, Deniz & Petitjean, Mikael & Vargas, Nicolas, 2021.
"Market instability and technical trading at high frequency: Evidence from NASDAQ stocks,"
Economic Modelling, Elsevier, vol. 102(C).
- Erdemlioglu, Deniz & Petitjean, Mikael & Vargas, Nicolas, 2021. "Market Instability and Technical Trading at High Frequency: Evidence from NASDAQ Stocks," LIDAM Reprints LFIN 2021016, Université catholique de Louvain, Louvain Finance (LFIN).
- Sandrine Jacob Leal & Mauro Napoletano & Andrea Roventini & Giorgio Fagiolo, 2016.
"Rock around the clock: An agent-based model of low- and high-frequency trading,"
Journal of Evolutionary Economics, Springer, vol. 26(1), pages 49-76, March.
- Sandrine Jacob Leal & Mauro Napoletano & Andrea Roventini & Giorgio Fagiolo, 2014. "Rock around the clock: an agent-based model of low- and high-frequency trading," Working Papers hal-01070542, HAL.
- Giorgio Fagiolo & Sandrine Jacob Leal & Mauro Napoletano & Andrea Roventini, 2015. "Rock around the Clock: An Agent-Based Model of Low- and High-Frequency Trading," SciencePo Working papers Main hal-03411703, HAL.
- Sandrine Jacob Leal & Mauro Napoletano & Andrea Roventini & Giorgio Fagiolo, 2014. "Rock around the clock: an agent-based model of low- and high-frequency trading," SciencePo Working papers Main hal-01070542, HAL.
- Sandrine Jacob Leal & Mauro Napoletano & Andrea Roventini & Giorgo Fagiolo, 2014. "Rock around the clock :An agent-based model of low-and high frequency trading," Documents de Travail de l'OFCE 2014-03, Observatoire Francais des Conjonctures Economiques (OFCE).
- Sandrine Jacob Leal & Mauro Napoletano & Andrea Roventini & Giorgio Fagiolo, 2014. "Rock around the clock: An agent-based model of low- and high-frequency trading," Post-Print hal-01515227, HAL.
- Giorgio Fagiolo & Sandrine Jacob Leal & Mauro Napoletano & Andrea Roventini, 2015. "Rock around the Clock: An Agent-Based Model of Low- and High-Frequency Trading," Post-Print hal-03411703, HAL.
- Sandrine Jacob Leal & Mauro Napoletano & Andrea Roventini & Giorgio Fagiolo, 2014. "Rock around the Clock: An Agent-Based Model of Low- and High-Frequency Trading," Working Papers 02/2014, University of Verona, Department of Economics.
- Sandrine Jacob Leal & Mauro Napoletano & Andrea Roventini & Giorgio Fagiolo, 2016. "Rock around the Clock : An agent-based model of low- and high-frequency trading," Post-Print hal-01512863, HAL.
- Sandrine Jacob Leal & Mauro Napoletano & Andrea Roventini & Giorgio Fagiolo, 2014. "Rock around the Clock: An Agent-Based Model of Low- and High-Frequency Trading," GREDEG Working Papers 2014-21, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
- Sandrine Jacob Leal & Mauro Napoletano & Andrea Roventini & Giorgio Fagiolo, 2014. "Rock around the Clock: An Agent-Based Model of Low- and High-Frequency Trading," LEM Papers Series 2014/03, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
- Sandrine Jacob Leal & Mauro Napoletano & Andrea Roventini & Giorgio Fagiolo, 2014. "Rock around the Clock: An Agent-Based Model of Low- and High-Frequency Trading," Papers 1402.2046, arXiv.org.
- Hubert Dichtl, 2020. "Investing in the S&P 500 index: Can anything beat the buy‐and‐hold strategy?," Review of Financial Economics, John Wiley & Sons, vol. 38(2), pages 352-378, April.
- 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, 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, 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," Working Papers in Economics 13/20, University of Canterbury, Department of Economics and Finance.
- 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," Tinbergen Institute Discussion Papers 13-077/III, Tinbergen Institute.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:arx:papers:1401.1892. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: arXiv administrators (email available below). General contact details of provider: http://arxiv.org/ .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.