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Trading as sharp movements in oil prices and technical trading signals emitted with big data concerns

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  • Day, Min-Yuh
  • Ni, Yensen
  • Huang, Paoyu

Abstract

The sentiments of market participants may be aroused when a sharp rise (fall) in oil prices is emitted. In this study, we take the trading signal emitted by the technical indicator into account accompanied with the sharp rise (fall) in oil prices into account in trading stocks. We explore whether investors will profit by trading stocks when a sharp rise (fall) in oil prices and technical trading signal are emitted together. Owing to big data concerns in employing the constituent stocks of DJ 30, FTSE 100, and SSE 50 as our samples, investors can beat the market in trading stocks. The sharp fall in oil prices, such as over 5%, and the oversold technical trading signals by the SOI occurring together can lead to better performance than trading stocks and the sharp movement in oil prices emitted only. Results revealed are for trading the constituent stocks of DJ 30, FTSE 100, and SSE 50 without exception after taking big data into account.

Suggested Citation

  • Day, Min-Yuh & Ni, Yensen & Huang, Paoyu, 2019. "Trading as sharp movements in oil prices and technical trading signals emitted with big data concerns," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 349-372.
  • Handle: RePEc:eee:phsmap:v:525:y:2019:i:c:p:349-372
    DOI: 10.1016/j.physa.2019.03.038
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    as
    1. Antoniou, Constantinos & Doukas, John A. & Subrahmanyam, Avanidhar, 2013. "Cognitive Dissonance, Sentiment, and Momentum," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 48(1), pages 245-275, February.
    2. Fowowe, Babajide, 2013. "Jump dynamics in the relationship between oil prices and the stock market: Evidence from Nigeria," Energy, Elsevier, vol. 56(C), pages 31-38.
    3. Huang, Paoyu & Ni, Yensen, 2017. "Board structure and stock price informativeness in terms of moving average rules," The Quarterly Review of Economics and Finance, Elsevier, vol. 63(C), pages 161-169.
    4. Thomas Shik & Terence Tai-Leung Chong, 2007. "A comparison of MA and RSI returns with exchange rate intervention," Applied Economics Letters, Taylor & Francis Journals, vol. 14(5), pages 371-383.
    5. Baker, Malcolm & Stein, Jeremy C., 2004. "Market liquidity as a sentiment indicator," Journal of Financial Markets, Elsevier, vol. 7(3), pages 271-299, June.
    6. Tse, Yiuman, 2015. "Momentum strategies with stock index exchange-traded funds," The North American Journal of Economics and Finance, Elsevier, vol. 33(C), pages 134-148.
    7. Basher, Syed Abul & Haug, Alfred A. & Sadorsky, Perry, 2012. "Oil prices, exchange rates and emerging stock markets," Energy Economics, Elsevier, vol. 34(1), pages 227-240.
    8. Wang, Zi-Mei & Chiao, Chaoshin & Chang, Ya-Ting, 2012. "Technical analyses and order submission behaviors: Evidence from an emerging market," International Review of Economics & Finance, Elsevier, vol. 24(C), pages 109-128.
    9. Neely, Christopher J. & Weller, Paul A., 2001. "Technical analysis and central bank intervention," Journal of International Money and Finance, Elsevier, vol. 20(7), pages 949-970, December.
    10. Ramazan GenÁay & Giuseppe Ballocchi & Michel Dacorogna & Richard Olsen & Olivier Pictet, 2002. "Real-Time Trading Models and the Statistical Properties of Foreign Exchange Rates," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 43(2), pages 463-492, May.
    11. Shi, Huai-Long & Zhou, Wei-Xing, 2017. "Time series momentum and contrarian effects in the Chinese stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 483(C), pages 309-318.
    12. Kent Daniel & David Hirshleifer & Avanidhar Subrahmanyam, 1998. "Investor Psychology and Security Market Under- and Overreactions," Journal of Finance, American Finance Association, vol. 53(6), pages 1839-1885, December.
    13. Shan Wang & Zhi-Qiang Jiang & Sai-Ping Li & Wei-Xing Zhou, 2015. "Testing the performance of technical trading rules in the Chinese market," Papers 1504.06397, arXiv.org.
    14. Papapetrou, Evangelia, 2001. "Oil price shocks, stock market, economic activity and employment in Greece," Energy Economics, Elsevier, vol. 23(5), pages 511-532, September.
    15. Yen-Sen Ni & Jen-Tsai Lee & Yi-Ching Liao, 2013. "Do variable length moving average trading rules matter during a financial crisis period?," Applied Economics Letters, Taylor & Francis Journals, vol. 20(2), pages 135-141, February.
    16. Christopher J. Neely & David E. Rapach & Jun Tu & Guofu Zhou, 2014. "Forecasting the Equity Risk Premium: The Role of Technical Indicators," Management Science, INFORMS, vol. 60(7), pages 1772-1791, July.
    17. Wu, Man-Hwa & Ni, Yen-Sen, 2011. "The effects of oil prices on inflation, interest rates and money," Energy, Elsevier, vol. 36(7), pages 4158-4164.
    18. Ahmadi, Maryam & Manera, Matteo & Sadeghzadeh, Mehdi, 2016. "Global oil market and the U.S. stock returns," Energy, Elsevier, vol. 114(C), pages 1277-1287.
    19. Narayan, Paresh Kumar & Gupta, Rangan, 2015. "Has oil price predicted stock returns for over a century?," Energy Economics, Elsevier, vol. 48(C), pages 18-23.
    20. Gunasekarage, Abeyratna & Power, David M., 2001. "The profitability of moving average trading rules in South Asian stock markets," Emerging Markets Review, Elsevier, vol. 2(1), pages 17-33, March.
    21. Turan G. Bali & K. Ozgur Demirtas & Armen Hovakimian, 2010. "Corporate Financing Activities and Contrarian Investment," Review of Finance, European Finance Association, vol. 14(3), pages 543-584.
    22. Narayan, Paresh Kumar & Sharma, Susan Sunila, 2011. "New evidence on oil price and firm returns," Journal of Banking & Finance, Elsevier, vol. 35(12), pages 3253-3262.
    23. Roger D. Huang & Ronald W. Masulis & Hans R. Stoll, 1996. "Energy shocks and financial markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 16(1), pages 1-27, February.
    24. Ciner Cetin, 2001. "Energy Shocks and Financial Markets: Nonlinear Linkages," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 5(3), pages 1-11, October.
    25. Fama, Eugene F, 1991. "Efficient Capital Markets: II," Journal of Finance, American Finance Association, vol. 46(5), pages 1575-1617, December.
    26. Lutz Kilian & Cheolbeom Park, 2009. "The Impact Of Oil Price Shocks On The U.S. Stock Market," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 50(4), pages 1267-1287, November.
    27. Neely, Christopher J., 2002. "The temporal pattern of trading rule returns and exchange rate intervention: intervention does not generate technical trading profits," Journal of International Economics, Elsevier, vol. 58(1), pages 211-232, October.
    28. Liao, Li-Chuan & Chou, Ray Yeutien & Chiu, Banghan, 2013. "Anchoring effect on foreign institutional investors’ momentum trading behavior: Evidence from the Taiwan stock market," The North American Journal of Economics and Finance, Elsevier, vol. 26(C), pages 72-91.
    29. Lee, Wayne Y. & Jiang, Christine X. & Indro, Daniel C., 2002. "Stock market volatility, excess returns, and the role of investor sentiment," Journal of Banking & Finance, Elsevier, vol. 26(12), pages 2277-2299.
    30. Phan, Dinh Hoang Bach & Sharma, Susan Sunila & Narayan, Paresh Kumar, 2015. "Stock return forecasting: Some new evidence," International Review of Financial Analysis, Elsevier, vol. 40(C), pages 38-51.
    31. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    32. De Bondt, Werner F M & Thaler, Richard, 1985. "Does the Stock Market Overreact?," Journal of Finance, American Finance Association, vol. 40(3), pages 793-805, July.
    33. Narayan, Paresh Kumar & Bannigidadmath, Deepa, 2015. "Are Indian stock returns predictable?," Journal of Banking & Finance, Elsevier, vol. 58(C), pages 506-531.
    34. Zhu, Hong & Jiang, Zhi-Qiang & Li, Sai-Ping & Zhou, Wei-Xing, 2015. "Profitability of simple technical trading rules of Chinese stock exchange indexes," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 439(C), pages 75-84.
    35. Wang, Lijun & An, Haizhong & Liu, Xiaojia & Huang, Xuan, 2016. "Selecting dynamic moving average trading rules in the crude oil futures market using a genetic approach," Applied Energy, Elsevier, vol. 162(C), pages 1608-1618.
    36. Malin, Mirela & Bornholt, Graham, 2013. "Long-term return reversal: Evidence from international market indices," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 25(C), pages 1-17.
    37. Deepa & Paresh K Narayan, "undated". "Are Indian Stock Returns Predictable?," Working Papers 2015_07, Deakin University, Department of Economics.
    38. Gradojevic, Nikola & Gençay, Ramazan, 2013. "Fuzzy logic, trading uncertainty and technical trading," Journal of Banking & Finance, Elsevier, vol. 37(2), pages 578-586.
    39. 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.
    40. Wang, Shan & Jiang, Zhi-Qiang & Li, Sai-Ping & Zhou, Wei-Xing, 2015. "Testing the performance of technical trading rules in the Chinese markets based on superior predictive test," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 439(C), pages 114-123.
    41. Thomas Gehrig & Lukas Menkhoff, 2006. "Extended evidence on the use of technical analysis in foreign exchange," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 11(4), pages 327-338.
    42. Chopra, Navin & Lakonishok, Josef & Ritter, Jay R., 1992. "Measuring abnormal performance : Do stocks overreact?," Journal of Financial Economics, Elsevier, vol. 31(2), pages 235-268, April.
    43. Gencay, Ramazan & Dacorogna, Michel & Olsen, Richard & Pictet, Olivier, 2003. "Foreign exchange trading models and market behavior," Journal of Economic Dynamics and Control, Elsevier, vol. 27(6), pages 909-935, April.
    44. James Kozyra & Camillo Lento, 2011. "Using VIX data to enhance technical trading signals," Applied Economics Letters, Taylor & Francis Journals, vol. 18(14), pages 1367-1370.
    45. Zhao, Xiaojun & Shang, Pengjian & Shi, Wenbin, 2014. "Multifractal cross-correlation spectra analysis on Chinese stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 402(C), pages 84-92.
    46. 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.
    47. Sobreiro, Vinicius Amorim & Cruz Cacique da Costa, Thiago Raymon & Farias Nazário, Rodolfo Toríbio & Lima e Silva, Jéssica & Moreira, Eduardo Alves & Lima Filho, Marcius Correia & Kimura, Herbert & Ar, 2016. "The profitability of moving average trading rules in BRICS and emerging stock markets," The North American Journal of Economics and Finance, Elsevier, vol. 38(C), pages 86-101.
    48. Terence Tai-Leung Chong & Wing-Kam Ng, 2008. "Technical analysis and the London stock exchange: testing the MACD and RSI rules using the FT30," Applied Economics Letters, Taylor & Francis Journals, vol. 15(14), pages 1111-1114.
    49. Marshall, Ben R. & Young, Martin R. & Rose, Lawrence C., 2006. "Candlestick technical trading strategies: Can they create value for investors?," Journal of Banking & Finance, Elsevier, vol. 30(8), pages 2303-2323, August.
    50. Shi, Huai-Long & Zhou, Wei-Xing, 2017. "Wax and wane of the cross-sectional momentum and contrarian effects: Evidence from the Chinese stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 486(C), pages 397-407.
    51. Manhwa Wu & Paoyu Huang & Yensen Ni, 2017. "Investing strategies as continuous rising (falling) share prices released," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 41(4), pages 763-773, October.
    52. Yensen Ni & Yi-Ching Liao & Paoyu Huang, 2015. "Momentum in the Chinese Stock Market: Evidence from Stochastic Oscillator Indicators," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 51(S1), pages 99-110, January.
    53. Curcio, Riccardo, et al, 1997. "Do Technical Trading Rules Generate Profits? Conclusions from the Intra-day Foreign Exchange Market," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 2(4), pages 267-280, October.
    54. Brock, William & Lakonishok, Josef & LeBaron, Blake, 1992. "Simple Technical Trading Rules and the Stochastic Properties of Stock Returns," Journal of Finance, American Finance Association, vol. 47(5), pages 1731-1764, December.
    55. Fama, Eugene F., 1998. "Market efficiency, long-term returns, and behavioral finance," Journal of Financial Economics, Elsevier, vol. 49(3), pages 283-306, September.
    56. Park, Jungwook & Ratti, Ronald A., 2008. "Oil price shocks and stock markets in the U.S. and 13 European countries," Energy Economics, Elsevier, vol. 30(5), pages 2587-2608, September.
    57. Phan, Dinh Hoang Bach & Sharma, Susan Sunila & Narayan, Paresh Kumar, 2016. "Intraday volatility interaction between the crude oil and equity markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 40(C), pages 1-13.
    58. 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 1705-1770, August.
    59. Ni, Yensen & Huang, Paoyu & Chen, Yuhsin, 2019. "Board structure, considerable capital, and stock price overreaction informativeness in terms of technical indicators," The North American Journal of Economics and Finance, Elsevier, vol. 48(C), pages 514-528.
    60. El-Sharif, Idris & Brown, Dick & Burton, Bruce & Nixon, Bill & Russell, Alex, 2005. "Evidence on the nature and extent of the relationship between oil prices and equity values in the UK," Energy Economics, Elsevier, vol. 27(6), pages 819-830, November.
    61. Mahmod Qadan & Joseph Yagil, 2012. "Fear sentiments and gold price: testing causality in-mean and in-variance," Applied Economics Letters, Taylor & Francis Journals, vol. 19(4), pages 363-366, March.
    62. R. Rosillo & D. de la Fuente & J. A. L. Brugos, 2013. "Technical analysis and the Spanish stock exchange: testing the RSI, MACD, momentum and stochastic rules using Spanish market companies," Applied Economics, Taylor & Francis Journals, vol. 45(12), pages 1541-1550, April.
    63. Gradojevic, Nikola & Lento, Camillo, 2015. "Multiscale analysis of foreign exchange order flows and technical trading profitability," Economic Modelling, Elsevier, vol. 47(C), pages 156-165.
    64. Yoonsuk Lee & B. Wade Brorsen, 2017. "Permanent shocks and forecasting with moving averages," Applied Economics, Taylor & Francis Journals, vol. 49(12), pages 1213-1225, March.
    65. Cunado, Juncal & Perez de Gracia, Fernando, 2014. "Oil price shocks and stock market returns: Evidence for some European countries," Energy Economics, Elsevier, vol. 42(C), pages 365-377.
    66. Binder, John J, 1998. "The Event Study Methodology since 1969," Review of Quantitative Finance and Accounting, Springer, vol. 11(2), pages 111-137, September.
    67. Sadorsky, Perry, 1999. "Oil price shocks and stock market activity," Energy Economics, Elsevier, vol. 21(5), pages 449-469, October.
    68. Han, Yufeng & Hu, Ting & Yang, Jian, 2016. "Are there exploitable trends in commodity futures prices?," Journal of Banking & Finance, Elsevier, vol. 70(C), pages 214-234.
    69. Huai-Long Shi & Zhi-Qiang Jiang & Wei-Xing Zhou, 2015. "Profitability of Contrarian Strategies in the Chinese Stock Market," PLOS ONE, Public Library of Science, vol. 10(9), pages 1-22, September.
    70. De Bondt, Werner F M & Thaler, Richard H, 1987. "Further Evidence on Investor Overreaction and Stock Market Seasonalit y," Journal of Finance, American Finance Association, vol. 42(3), pages 557-581, July.
    71. Yi-Chein Chiang & Mei-Chu Ke & Tung Liang Liao & Cin-Dian Wang, 2012. "Are technical trading strategies still profitable? Evidence from the Taiwan Stock Index Futures Market," Applied Financial Economics, Taylor & Francis Journals, vol. 22(12), pages 955-965, June.
    72. Faff, Robert W. & Brailsford, Timothy J., 1999. "Oil price risk and the Australian stock market," Journal of Energy Finance & Development, Elsevier, vol. 4(1), pages 69-87, June.
    73. Subrata Kumar Mitra & Manojit Chattopadhyay & Parikshit Charan & Jaslene Bawa, 2017. "Identifying periods of market inefficiency for return predictability," Applied Economics Letters, Taylor & Francis Journals, vol. 24(10), pages 668-671, June.
    74. Andreas Karathanasopoulos & Konstantinos Athanasios Theofilatos & Georgios Sermpinis & Christian Dunis & Sovan Mitra & Charalampos Stasinakis, 2016. "Stock market prediction using evolutionary support vector machines: an application to the ASE20 index," The European Journal of Finance, Taylor & Francis Journals, vol. 22(12), pages 1145-1163, September.
    75. Cong, Rong-Gang & Wei, Yi-Ming & Jiao, Jian-Lin & Fan, Ying, 2008. "Relationships between oil price shocks and stock market: An empirical analysis from China," Energy Policy, Elsevier, vol. 36(9), pages 3544-3553, September.
    76. Bouri, Elie, 2015. "Return and volatility linkages between oil prices and the Lebanese stock market in crisis periods," Energy, Elsevier, vol. 89(C), pages 365-371.
    77. Driesprong, Gerben & Jacobsen, Ben & Maat, Benjamin, 2008. "Striking oil: Another puzzle?," Journal of Financial Economics, Elsevier, vol. 89(2), pages 307-327, August.
    78. Blume, Marshall E & Keim, Donald B & Patel, Sandeep A, 1991. "Returns and Volatility of Low-Grade Bonds: 1977-1989," Journal of Finance, American Finance Association, vol. 46(1), pages 49-74, March.
    79. Ni, Yensen & Cheng, Yirung & Huang, Paoyu & Day, Min-Yuh, 2018. "Trading strategies in terms of continuous rising (falling) prices or continuous bullish (bearish) candlesticks emitted," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 501(C), pages 188-204.
    80. de Haan, Leo & Kakes, Jan, 2011. "Momentum or contrarian investment strategies: Evidence from Dutch institutional investors," Journal of Banking & Finance, Elsevier, vol. 35(9), pages 2245-2251, September.
    81. C. Petropoulos & K. Nikolopoulos & A. Patelis & V. Assimakopoulos, 2005. "A technical analysis approach to tourism demand forecasting," Applied Economics Letters, Taylor & Francis Journals, vol. 12(6), pages 327-333.
    82. Bessembinder, Hendrik & Chan, Kalok, 1995. "The profitability of technical trading rules in the Asian stock markets," Pacific-Basin Finance Journal, Elsevier, vol. 3(2-3), pages 257-284, July.
    83. Kam Fong Chan & Philip Gray, 2017. "Do Scheduled Macroeconomic Announcements Influence Energy Price Jumps?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 37(1), pages 71-89, January.
    84. Paresh Kumar Narayan & Huson Ali Ahmed & Seema Narayan, 2015. "Do Momentum‐Based Trading Strategies Work in the Commodity Futures Markets?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 35(9), pages 868-891, September.
    85. A. Craig MacKinlay, 1997. "Event Studies in Economics and Finance," Journal of Economic Literature, American Economic Association, vol. 35(1), pages 13-39, March.
    86. Askari, Hossein & Krichene, Noureddine, 2008. "Oil price dynamics (2002-2006)," Energy Economics, Elsevier, vol. 30(5), pages 2134-2153, September.
    87. Yu, Hao & Nartea, Gilbert V. & Gan, Christopher & Yao, Lee J., 2013. "Predictive ability and profitability of simple technical trading rules: Recent evidence from Southeast Asian stock markets," International Review of Economics & Finance, Elsevier, vol. 25(C), pages 356-371.
    88. Nandha, Mohan & Faff, Robert, 2008. "Does oil move equity prices? A global view," Energy Economics, Elsevier, vol. 30(3), pages 986-997, May.
    89. Ni, Yensen & Liao, Yi-Ching & Huang, Paoyu, 2015. "MA trading rules, herding behaviors, and stock market overreaction," International Review of Economics & Finance, Elsevier, vol. 39(C), pages 253-265.
    90. Novy-Marx, Robert, 2012. "Is momentum really momentum?," Journal of Financial Economics, Elsevier, vol. 103(3), pages 429-453.
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