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Research Article

Improving market timing of time series momentum in the Chinese stock market

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References

  • Amihud, Y., and H. Mendelson. 2015. “The Pricing of Illiquidity as a Characteristic and as Risk.” Multinational Finance Journal 19 (3): 149–168. doi:10.17578/19.
  • Baker, M., and J. Wurgler. 2006. “Investor Sentiment and the Cross‐section of Stock Returns.” The Journal of Finance 61 (4): 1645–1680. doi:10.1111/j.1540-6261.2006.00885.x.
  • Baker, M., J. Wurgler, and Y. Yuan. 2012. “Global, Local, and Contagious Investor Sentiment.” Journal of Financial Economics 104 (2): 272–287. doi:10.1016/j.jfineco.2011.11.002.
  • Baker, M., and J. C. Stein. 2004. “Market Liquidity as a Sentiment Indicator.” Journal of Financial Markets 7 (3): 271–299. doi:10.1016/j.finmar.2003.11.005.
  • Blume, L., D. Easley, and M. O’Hara. 1994. “Market Statistics and Technical Analysis: The Role of Volume.” Journal of Finance 49: 153–181. doi:10.1111/j.1540-6261.1994.tb04424.x.
  • Brock, W., J. Lakonishok, and B. LeBaron. 1992. “Simple Technical Trading Rules and the Stochastic Properties of Stock Returns.” Journal of Finance 47: 1731–1764. doi:10.1111/j.1540-6261.1992.tb04681.x.
  • Brown, G. W., and M. T. Cliff. 2005. “Investor Sentiment and Asset Valuation.” The Journal of Business 78 (2): 405–440. doi:10.1086/jb.2005.78.issue-2.
  • Chakrabarti, G. 2015. “Time-Series Momentum Trading Strategies in the Global Stock Market.” Business Economics 50: 80–90. doi:10.1057/be.2015.16.
  • Cheema, M. A., Y. Man, and K. R. Szulczyk. 2018. “Does Investor Sentiment Predict the Near‐Term Returns of the Chinese Stock Market?” International Review of Finance 20 (1): 225–233. doi:10.1111/irfi.12202.
  • Chu, X., Z. Gu, and H. Zhou. 2019. “Intraday Momentum and Reversal in Chinese Stock Market.” Finance Research Letters 30: 83–88. doi:10.1016/j.frl.2019.04.002.
  • Cooper, M. J., R. C. Gutierrez Jr, and A. Hameed. 2004. “Market States and Momentum.” The Journal of Finance 59 (3): 1345–1365. doi:10.1111/j.1540-6261.2004.00665.x.
  • Fabozzi, F. J., S. M. Focardi, and P. N. Kolm. 2010. Quantitative Equity Investing: Techniques and Strategies. United States: John Wiley & Sons.
  • Glabadanidis, P. 2014. “The Market Timing Power of Moving Averages: Evidence from US REITs and REIT Indexes.” International Review of Finance 14: 161–202. doi:10.1111/irfi.12018.
  • Glabadanidis, P. 2015. “Market Timing with Moving Averages.” International Review of Finance 15: 387–425. doi:10.1111/irfi.12052.
  • Guo, L., Y. Han, S. Z. Li, and G. Zhou. 2018. “Market Intraday Momentum.” Journal of Financial Economics 129: 394–414. doi:10.1016/j.jfineco.2018.05.009.
  • Han, X., and Y. Li. 2017. “Can Investor Sentiment Be a Momentum Time-series Predictor? Evidence from China.” Journal of Empirical Finance 42: 212–239. doi:10.1016/j.jempfin.2017.04.001.
  • Han, Y., K. Yang, and Y. Zhu. 2016. “Trend Factor: Any Economic Gains from Using Information over Investment Horizons?” Journal of Financial Economics 122: 352–375. doi:10.1016/j.jfineco.2016.01.029.
  • Hansen, P. R. 2005. “A Test for Superior Predictive Ability.” Journal of Business & Economic Statistics 23 (4): 365–380. doi:10.1198/073500105000000063.
  • He, X. Z., and K. Li. 2015. “Profitability of Time Series Momentum.” Journal of Banking & Finance 53: 140–157. doi:10.1016/j.jbankfin.2014.12.017.
  • Hsu, P. H., and C. M. Kuan. 2005. “Reexamining the Profitability of Technical Analysis with Data Snooping Checks.” Journal of Financial Econometrics 3 (4): 606–628. doi:10.1093/jjfinec/nbi026.
  • Huang, D., F. Jiang, J. Tu, and G. Zhou. 2015. “Investor Sentiment Aligned: A Powerful Predictor of Stock Returns.” The Review of Financial Studies 28 (3): 791–837. doi:10.1093/rfs/hhu080.
  • Huang, D., and G. Zhou. 2013. “Economic and Market Conditions: Two State Variables that Predict the Stock Market.” Working paper.
  • Huang, D., J. Y. Li, L. Wang, and G. F. Zhou. 2019. “Time-Series Momentum: Is It There?” Journal of Financial Economics (JFE). Forthcoming. https://ssrn.com/abstract=3165284
  • Kilgallen, T. 2012. “Testing the Simple Moving Average across Commodities, Global Stock Indices, and Currencies.” Journal of Wealth Management 15: 82–100. doi:10.3905/jwm.2012.15.1.082.
  • Lo, A., H. Mamaysky, and J. Wang. 2000. “Foundations of Technical Analysis: Computational Algorithms, Statistical Inference, and Empirical Implementation.” Journal of Finance 55: 1705–1765. doi:10.1111/0022-1082.00265.
  • Lynch, A. W., and P. Balduzzi. 2000. “Predictability and Transaction Costs: The Impact on Rebalancing Rules and Behavior.” Journal of Finance 66: 2285–2309. doi:10.1111/0022-1082.00287.
  • Marshall, B. R., N. H. Nguyen, and N. Visaltanachoti. 2017. “Time Series Momentum and Moving Average Trading Rules.” Quantitative Finance 17: 405–421. doi:10.1080/14697688.2016.1205209.
  • Modigliani, F., and L. Mordigliani. 1997. “Risk-adjusted Performance.” Journal of Portfolio Management 23: 45–54. doi:10.3905/jpm.23.2.45.
  • Moskowitz, T. J., and L. H. Pedersen. 2013. “Value and Momentum Everywhere.” The Journal of Finance 68: 929–985. doi:10.1111/jofi.12021.
  • Moskowitz, T. J., Y. H. Ooi, and L. H. Pedersen. 2012. “Time Series Momentum.” Journal of Financial Economics 104: 228–250. doi:10.1016/j.jfineco.2011.11.003.
  • Neely, C. J., D. E. Rapach, J. Tu, and G. Zhou. 2014. “Forecasting the Equity Risk Premium: The Role of Technical Indicators.” Management Science 60: 1772–1791. doi:10.1287/mnsc.2013.1838.
  • Shi, H. L., and W. X. Zhou. 2017. “Time Series Momentum and Contrarian Effects in Chines Stock Market.” Physica A 483: 309–331. doi:10.1016/j.physa.2017.04.139.
  • Stambaugh, R. F., and Y. Yuan. 2017. “Mispricing Factors.” The Review of Financial Studies 30 (4): 1270–1315. doi:10.1093/rfs/hhw107.
  • White, H. 2000. “A Reality Check for Data Snooping.” Econometrica 68 (5): 1097–1126. doi:10.1111/ecta.2000.68.issue-5.
  • Yang, J., Z. Cao, Q. Han, and Q. Wang. 2019. “Tactical Asset Allocation on Technical Trading Rules and Data Snooping.” Pacific-Basin Finance Journal 57: 101049. doi:10.1016/j.pacfin.2018.08.003.
  • Zakamulin, V. 2014. “The Real-life Performance of Market Timing with Moving Average and Time-series Momentum Rules.” Journal of Asset Management 15: 261–278. doi:10.1057/jam.2014.25.
  • Zakamulin, V. 2015. Market Timing with a Robust Moving Average. Working Paper, https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2612307
  • Zhang, Q. 2018. “The Performance of China Stock Market, Based on the Analysis of Implicit Transaction Cost.” American Journal of Industrial and Business Management 8 (4): 1050. doi:10.4236/ajibm.2018.84072.
  • Zhou, G., and Y. Zhu, 2013. “An Equilibrium Model of Moving-average Predictability and Time-series Momentum.” Unpublished working paper, Washington University in St. Louis.
  • Zhu, Y., and G. Zhou. 2009. “Technical Analysis: An Asset Allocation Perspective on the Use of Moving Averages.” Journal of Financial Economics 92: 519–544. doi:10.1016/j.jfineco.2008.07.002.

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