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What do we know about informational efficiency? Three puzzles and the new direction forward

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  • You‐How Go
  • Wee‐Yeap Lau

Abstract

Informational efficiency generally indicates the prevailing market price of assets by focusing on the connection between market participants in reacting to the arrival of new information. However, several authors have suggested that uncorrelated trading strategies across markets are meant for traders who genuinely know the best. Our study aims to survey the most recent literature on informational efficiency. We examine the empirical literature on informational efficiency by discussing the findings from dual perspectives, namely price–volume and spot–futures relations. More research needs to be directed toward understanding how market efficiency responds to impending uncertainties in the real economy. By combining the findings of 109 studies from different financial markets, we discuss essential lessons from market microstructures and behavioral biases in decision‐making. Further, we identify three contentious issues yet to be explored in the literature. This study concludes by discussing a new direction for future research.

Suggested Citation

  • You‐How Go & Wee‐Yeap Lau, 2023. "What do we know about informational efficiency? Three puzzles and the new direction forward," Journal of Economic Surveys, Wiley Blackwell, vol. 37(4), pages 1489-1525, September.
    • Handle: RePEc:bla:jecsur:v:37:y:2023:i:4:p:1489-1525
    DOI: 10.1111/joes.12478
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    as
    1. Lakonishok, Josef & Levi, Maurice, 1982. "Weekend Effects on Stock Returns: A Note," Journal of Finance, American Finance Association, vol. 37(3), pages 883-889, June.
    2. Iwatsubo, Kentaro & Watkins, Clinton & Xu, Tao, 2018. "Intraday seasonality in efficiency, liquidity, volatility and volume: Platinum and gold futures in Tokyo and New York," Journal of Commodity Markets, Elsevier, vol. 11(C), pages 59-71.
    3. Hosseinzadeh, Ahmad & Smyth, Russell & Valadkhani, Abbas & Le, Viet, 2016. "Analyzing the efficiency performance of major Australian mining companies using bootstrap data envelopment analysis," Economic Modelling, Elsevier, vol. 57(C), pages 26-35.
    4. Shalen, Catherine T, 1993. "Volume, Volatility, and the Dispersion of Beliefs," The Review of Financial Studies, Society for Financial Studies, vol. 6(2), pages 405-434.
    5. Eugene F. Fama & Kenneth R. French, 2015. "Commodity Futures Prices: Some Evidence on Forecast Power, Premiums, and the Theory of Storage," World Scientific Book Chapters, in: Anastasios G Malliaris & William T Ziemba (ed.), THE WORLD SCIENTIFIC HANDBOOK OF FUTURES MARKETS, chapter 4, pages 79-102, World Scientific Publishing Co. Pte. Ltd..
    6. Lamoureux, Christopher G & Lastrapes, William D, 1990. "Heteroskedasticity in Stock Return Data: Volume versus GARCH Effects," Journal of Finance, American Finance Association, vol. 45(1), pages 221-229, March.
    7. Stephen A. Ross, 2013. "The Arbitrage Theory of Capital Asset Pricing," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 1, pages 11-30, World Scientific Publishing Co. Pte. Ltd..
    8. Jawadi, Fredj & Ftiti, Zied & Hdia, Mouna, 2017. "Assessing efficiency and investment opportunities in commodities: A time series and portfolio simulations approach," Economic Modelling, Elsevier, vol. 64(C), pages 567-588.
    9. Andrew W. Lo, A. Craig MacKinlay, 1988. "Stock Market Prices do not Follow Random Walks: Evidence from a Simple Specification Test," The Review of Financial Studies, Society for Financial Studies, vol. 1(1), pages 41-66.
    10. Le, Van & Zurbruegg, Ralf, 2010. "The role of trading volume in volatility forecasting," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 20(5), pages 533-555, December.
    11. Ronald I. McKinnon, 1967. "Futures Markets, Buffer Stocks, and Income Stability for Primary Producers," Journal of Political Economy, University of Chicago Press, vol. 75(6), pages 844-844.
    12. Bartosz Gebka, 2005. "Dynamic volume-return relationship: evidence from an emerging capital market," Applied Financial Economics, Taylor & Francis Journals, vol. 15(14), pages 1019-1029.
    13. Marwa Talbi & Christian de Peretti & Lotfi Belkacem, 2020. "Dynamics and causality in distribution between spot and future precious metals: A copula approach," Post-Print hal-03671392, HAL.
    14. Lakonishok, Josef & Smidt, Seymour, 1986. "Volume for Winners and Losers: Taxation and Other Motives for Stock Trading," Journal of Finance, American Finance Association, vol. 41(4), pages 951-974, September.
    15. Jeffrey E. Jarrett, 2010. "Efficient markets hypothesis and daily variation in small Pacific‐basin stock markets," Management Research Review, Emerald Group Publishing Limited, vol. 33(12), pages 1128-1139, November.
    16. Mann, Jitendar S. & Heifner, Richard G., 1976. "The Distribution of Shortrun Commodity Price Movements," Technical Bulletins 158107, United States Department of Agriculture, Economic Research Service.
    17. Timmermann, Allan & Granger, Clive W. J., 2004. "Efficient market hypothesis and forecasting," International Journal of Forecasting, Elsevier, vol. 20(1), pages 15-27.
    18. Shleifer, Andrei & Vishny, Robert W, 1997. "The Limits of Arbitrage," Journal of Finance, American Finance Association, vol. 52(1), pages 35-55, March.
    19. Chen, An-Sing & Fung, Hung-Gay & Kao, Erin H.C., 2008. "The dynamic relations among return volatility, trading imbalance, and trading volume in futures markets," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(3), pages 429-436.
    20. Joakim Westerlund & Paresh Narayan, 2013. "Testing the Efficient Market Hypothesis in Conditionally Heteroskedastic Futures Markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 33(11), pages 1024-1045, November.
    21. Andrea Coppola, 2008. "Forecasting oil price movements: Exploiting the information in the futures market," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 28(1), pages 34-56, January.
    22. Do, Hung Xuan & Brooks, Robert & Treepongkaruna, Sirimon & Wu, Eliza, 2014. "How does trading volume affect financial return distributions?," International Review of Financial Analysis, Elsevier, vol. 35(C), pages 190-206.
    23. Ray Ball, 2009. "The Global Financial Crisis and the Efficient Market Hypothesis: What Have We Learned?," Journal of Applied Corporate Finance, Morgan Stanley, vol. 21(4), pages 8-16, September.
    24. Lee, Chien-Chiang & Zeng, Jhih-Hong, 2011. "Revisiting the relationship between spot and futures oil prices: Evidence from quantile cointegrating regression," Energy Economics, Elsevier, vol. 33(5), pages 924-935, September.
    25. Param Silvapulle & Imad A. Moosa, 1999. "The relationship between spot and futures prices: Evidence from the crude oil market," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 19(2), pages 175-193, April.
    26. Chevallier, Julien & Sévi, Benoît, 2012. "On the volatility–volume relationship in energy futures markets using intraday data," Energy Economics, Elsevier, vol. 34(6), pages 1896-1909.
    27. Shleifer, Andrei & Summers, Lawrence H, 1990. "The Noise Trader Approach to Finance," Journal of Economic Perspectives, American Economic Association, vol. 4(2), pages 19-33, Spring.
    28. Chen, Pei-Fen & Lee, Chien-Chiang & Zeng, Jhih-Hong, 2014. "The relationship between spot and futures oil prices: Do structural breaks matter?," Energy Economics, Elsevier, vol. 43(C), pages 206-217.
    29. Lucas, Robert E, Jr, 1978. "Asset Prices in an Exchange Economy," Econometrica, Econometric Society, vol. 46(6), pages 1429-1445, November.
    30. Hooi Hooi Lean & Michael McAleer & Wing-Keung Wong, 2010. "Market Efficiency of Oil Spot and Futures: A Stochastic Dominance Approach," CIRJE F-Series CIRJE-F-705, CIRJE, Faculty of Economics, University of Tokyo.
    31. Bradford Cornell, 1981. "The relationship between volume and price variability in futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 1(3), pages 303-316, September.
    32. Bollerslev, Tim & Jubinski, Dan, 1999. "Equity Trading Volume and Volatility: Latent Information Arrivals and Common Long-Run Dependencies," Journal of Business & Economic Statistics, American Statistical Association, vol. 17(1), pages 9-21, January.
    33. Ronald Britto, 1982. "Futures markets and the supply of storage with rational expectations," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 2(3), pages 255-260, September.
    34. Tauchen, George E & Pitts, Mark, 1983. "The Price Variability-Volume Relationship on Speculative Markets," Econometrica, Econometric Society, vol. 51(2), pages 485-505, March.
    35. Grossman, Sanford J & Stiglitz, Joseph E, 1980. "On the Impossibility of Informationally Efficient Markets," American Economic Review, American Economic Association, vol. 70(3), pages 393-408, June.
    36. Henryk Gurgul & Pawel Majdosz & Roland Mestel, 2005. "Joint Dynamics of Prices and Trading Volume on the Polish Stock Market," Managing Global Transitions, University of Primorska, Faculty of Management Koper, vol. 3(2), pages 139-156.
    37. Epps, Thomas W & Epps, Mary Lee, 1976. "The Stochastic Dependence of Security Price Changes and Transaction Volumes: Implications for the Mixture-of-Distributions Hypothesis," Econometrica, Econometric Society, vol. 44(2), pages 305-321, March.
    38. Kounetas, Kostas & Tsekouras, Kostas, 2010. "Are the Energy Efficiency Technologies efficient?," Economic Modelling, Elsevier, vol. 27(1), pages 274-283, January.
    39. Joshua D. Coval & Tyler Shumway, 2005. "Do Behavioral Biases Affect Prices?," Journal of Finance, American Finance Association, vol. 60(1), pages 1-34, February.
    40. Guillermo Llorente & Roni Michaely & Gideon Saar & Jiang Wang, 2002. "Dynamic Volume-Return Relation of Individual Stocks," The Review of Financial Studies, Society for Financial Studies, vol. 15(4), pages 1005-1047.
    41. Ilia Bouchouev, 2012. "Inconvenience yield, or the theory of normal contango," Quantitative Finance, Taylor & Francis Journals, vol. 12(12), pages 1773-1777, December.
    42. Richardson, Matthew & Smith, Tom, 1994. "A Direct Test of the Mixture of Distributions Hypothesis: Measuring the Daily Flow of Information," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 29(1), pages 101-116, March.
    43. Charles M. Oellermann & B. Wade Brorsen & Paul L. Farris, 1989. "Price discovery for feeder cattle," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 9(2), pages 113-121, April.
    44. Tilton, John E. & Humphreys, David & Radetzki, Marian, 2011. "Investor demand and spot commodity prices," Resources Policy, Elsevier, vol. 36(3), pages 187-195, September.
    45. Bekiros, Stelios D. & Diks, Cees G.H., 2008. "The relationship between crude oil spot and futures prices: Cointegration, linear and nonlinear causality," Energy Economics, Elsevier, vol. 30(5), pages 2673-2685, September.
    46. Kolodziej, Marek & Kaufmann, Robert K., 2013. "The role of trader positions in spot and futures prices for WTI," Energy Economics, Elsevier, vol. 40(C), pages 176-182.
    47. Neibergs, J. Shannon & Thalheimer, Richard, 1997. "Price Expectations and Supply Response in the Thoroughbred Yearling Market," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 29(2), pages 419-435, December.
    48. Chung, Dennis & Hrazdil, Karel, 2010. "Liquidity and market efficiency: A large sample study," Journal of Banking & Finance, Elsevier, vol. 34(10), pages 2346-2357, October.
    49. Phengpis, Chanwit, 2006. "Market efficiency and cointegration of spot exchange rates during periods of economic turmoil: Another look at European and Asian currency crises," Journal of Economics and Business, Elsevier, vol. 58(4), pages 323-342.
    50. Talbi, Marwa & de Peretti, Christian & Belkacem, Lotfi, 2020. "Dynamics and causality in distribution between spot and future precious metals: A copula approach," Resources Policy, Elsevier, vol. 66(C).
    51. Harris, Milton & Raviv, Artur, 1993. "Differences of Opinion Make a Horse Race," The Review of Financial Studies, Society for Financial Studies, vol. 6(3), pages 473-506.
    52. Katsushi Nakajima, 2020. "Commodity Spot and Futures Prices Under Supply, Demand, and Financial Trading: Single Input–Output Model," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 27(1), pages 35-59, March.
    53. Nicholas Kaldor, 1939. "Speculation and Economic Stability," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 7(1), pages 1-27.
    54. Karpoff, Jonathan M., 1987. "The Relation between Price Changes and Trading Volume: A Survey," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 22(1), pages 109-126, March.
    55. Andrew McKenzie & Matthew Holt, 2002. "Market efficiency in agricultural futures markets," Applied Economics, Taylor & Francis Journals, vol. 34(12), pages 1519-1532.
    56. Östensson, Olle, 2011. "Comment: Investor demand and spot commodity prices," Resources Policy, Elsevier, vol. 36(4), pages 372-374.
    57. Copeland, Thomas E., 1977. "A Probability Model of Asset Trading," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 12(4), pages 563-578, November.
    58. Tetteh A. Kofi, 1973. "A Framework for Comparing the Efficiency of Futures Markets," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 55(4_Part_1), pages 584-594.
    59. Lean, Hooi Hooi & McAleer, Michael & Wong, Wing-Keung, 2010. "Market efficiency of oil spot and futures: A mean-variance and stochastic dominance approach," Energy Economics, Elsevier, vol. 32(5), pages 979-986, September.
    60. Cuny, Charles J, 1993. "The Role of Liquidity in Futures Market Innovations," The Review of Financial Studies, Society for Financial Studies, vol. 6(1), pages 57-78.
    61. Garbade, Kenneth D & Silber, William L, 1983. "Futures Contracts on Commodities with Multiple Varieties: An Analysis of Premiums and Discounts," The Journal of Business, University of Chicago Press, vol. 56(3), pages 249-272, July.
    62. Fernandez, Viviana, 2016. "Further evidence on the relationship between spot and futures prices," Resources Policy, Elsevier, vol. 49(C), pages 368-371.
    63. Liesenfeld, Roman, 2001. "A generalized bivariate mixture model for stock price volatility and trading volume," Journal of Econometrics, Elsevier, vol. 104(1), pages 141-178, August.
    64. Bin Gao & Jun Xie, 2020. "Forecasting Excess Returns and Abnormal Trading Volume using Investor Sentiment: Evidence from Chinese Stock Index Futures Market," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 56(3), pages 593-612, February.
    65. Lamoureux, Christopher G & Lastrapes, William D, 1994. "Endogenous Trading Volume and Momentum in Stock-Return Volatility," Journal of Business & Economic Statistics, American Statistical Association, vol. 12(2), pages 253-260, April.
    66. Turnovsky, Stephen J., 1979. "Futures markets, private storage, and price stabilization," Journal of Public Economics, Elsevier, vol. 12(3), pages 301-327, December.
    67. Mantu Kumar Mahalik & Debashis Acharya & M. Suresh Babu, 2014. "Price discovery and volatility spillovers in futures and spot commodity markets," Journal of Advances in Management Research, Emerald Group Publishing Limited, vol. 11(2), pages 211-226, July.
    68. Clark, Peter K, 1973. "A Subordinated Stochastic Process Model with Finite Variance for Speculative Prices," Econometrica, Econometric Society, vol. 41(1), pages 135-155, January.
    69. Neibergs, J. Shannon & Thalheimer, Richard, 1997. "Price Expectations And Supply Response In The Thoroughbred Yearling Market," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 29(2), pages 1-17, December.
    70. 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.
    71. Nicolau, Mihaela & Palomba, Giulio, 2015. "Dynamic relationships between spot and futures prices. The case of energy and gold commodities," Resources Policy, Elsevier, vol. 45(C), pages 130-143.
    72. De Long, J Bradford & Andrei Shleifer & Lawrence H. Summers & Robert J. Waldmann, 1990. "Noise Trader Risk in Financial Markets," Journal of Political Economy, University of Chicago Press, vol. 98(4), pages 703-738, August.
    73. Viviana Fernandez, 2016. "Spot and Futures Markets Linkages: Does Contango Differ from Backwardation?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 36(4), pages 375-396, April.
    74. Wang, Jiang, 1994. "A Model of Competitive Stock Trading Volume," Journal of Political Economy, University of Chicago Press, vol. 102(1), pages 127-168, February.
    75. Rachael Carroll & Colm Kearney, 2012. "Do trading volumes explain the persistence of GARCH effects?," Applied Financial Economics, Taylor & Francis Journals, vol. 22(23), pages 1993-2008, December.
    76. Wang, Yudong & Wu, Chongfeng, 2013. "Are crude oil spot and futures prices cointegrated? Not always!," Economic Modelling, Elsevier, vol. 33(C), pages 641-650.
    77. M. J. Fields, 1931. "Stock Prices: A Problem in Verification," The Journal of Business, University of Chicago Press, vol. 4, pages 415-415.
    78. Alizadeh, Amir H. & Tamvakis, Michael, 2016. "Market conditions, trader types and price–volume relation in energy futures markets," Energy Economics, Elsevier, vol. 56(C), pages 134-149.
    79. Robert S. Pindyck, 2001. "The Dynamics of Commodity Spot and Futures Markets: A Primer," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 1-30.
    80. Epps, Thomas W, 1975. "Security Price Changes and Transaction Volumes: Theory and Evidence," American Economic Review, American Economic Association, vol. 65(4), pages 586-597, September.
    81. Gibbons, Michael R & Hess, Patrick, 1981. "Day of the Week Effects and Asset Returns," The Journal of Business, University of Chicago Press, vol. 54(4), pages 579-596, October.
    82. Zhiyao Chen & Robert T. Daigler, 2008. "An examination of the complementary volume–volatility information theories," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 28(10), pages 963-992, October.
    83. Zhang, Bing, 2013. "Are the crude oil markets becoming more efficient over time? New evidence from a generalized spectral test," Energy Economics, Elsevier, vol. 40(C), pages 875-881.
    84. Ding, Liang & Pu, Xiaoling, 2012. "Market linkage and information spillover: Evidence from pre-crisis, crisis, and recovery periods," Journal of Economics and Business, Elsevier, vol. 64(2), pages 145-159.
    85. Blume, Lawrence & Easley, David & O'Hara, Maureen, 1994. "Market Statistics and Technical Analysis: The Role of Volume," Journal of Finance, American Finance Association, vol. 49(1), pages 153-181, March.
    86. Steve Easton & Paul Kerin, 2010. "Market Efficiency and the Global Financial Crisis," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 43(4), pages 464-468, December.
    87. Lester G. Telser, 1958. "Futures Trading and the Storage of Cotton and Wheat," Journal of Political Economy, University of Chicago Press, vol. 66(3), pages 233-233.
    88. Cox, Charles C, 1976. "Futures Trading and Market Information," Journal of Political Economy, University of Chicago Press, vol. 84(6), pages 1215-1237, December.
    89. Amihud, Yakov & Mendelson, Haim, 1991. "Liquidity, Maturity, and the Yields on U.S. Treasury Securities," Journal of Finance, American Finance Association, vol. 46(4), pages 1411-1425, September.
    90. Hiemstra, Craig & Jones, Jonathan D, 1994. "Testing for Linear and Nonlinear Granger Causality in the Stock Price-Volume Relation," Journal of Finance, American Finance Association, vol. 49(5), pages 1639-1664, December.
    91. Hou, Yang (Greg) & Li, Steven, 2020. "Volatility and skewness spillover between stock index and stock index futures markets during a crash period: New evidence from China," International Review of Economics & Finance, Elsevier, vol. 66(C), pages 166-188.
    92. Robert Connolly & Chris Stivers, 2003. "Momentum and Reversals in Equity‐Index Returns During Periods of Abnormal Turnover and Return Dispersion," Journal of Finance, American Finance Association, vol. 58(4), pages 1521-1556, August.
    93. Bhar, Ramaprasad & Hamori, Shigeyuki, 2005. "Causality in variance and the type of traders in crude oil futures," Energy Economics, Elsevier, vol. 27(3), pages 527-539, May.
    94. Alzahrani, Mohammed & Masih, Mansur & Al-Titi, Omar, 2014. "Linear and non-linear Granger causality between oil spot and futures prices: A wavelet based test," Journal of International Money and Finance, Elsevier, vol. 48(PA), pages 175-201.
    95. French, Kenneth R., 1980. "Stock returns and the weekend effect," Journal of Financial Economics, Elsevier, vol. 8(1), pages 55-69, March.
    96. Kian‐Ping Lim & Robert Brooks, 2011. "The Evolution Of Stock Market Efficiency Over Time: A Survey Of The Empirical Literature," Journal of Economic Surveys, Wiley Blackwell, vol. 25(1), pages 69-108, February.
    97. Go, You-How & Lau, Wee-Yeap, 2017. "Investor demand, market efficiency and spot-futures relation: Further evidence from crude palm oil," Resources Policy, Elsevier, vol. 53(C), pages 135-146.
    98. Sven Bouman & Ben Jacobsen, 2002. "The Halloween Indicator, "Sell in May and Go Away": Another Puzzle," American Economic Review, American Economic Association, vol. 92(5), pages 1618-1635, December.
    99. Jensen, Michael C., 1978. "Some anomalous evidence regarding market efficiency," Journal of Financial Economics, Elsevier, vol. 6(2-3), pages 95-101.
    100. Ted C. Schroeder & Barry K. Goodwin, 1991. "Price discovery and cointegration for live hogs," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 11(6), pages 685-696, December.
    101. Jennings, Robert H & Starks, Laura T & Fellingham, John C, 1981. "An Equilibrium Model of Asset Trading with Sequential Information Arrival," Journal of Finance, American Finance Association, vol. 36(1), pages 143-161, March.
    102. Eric Girard & Mohammed Omran, 2009. "On the relationship between trading volume and stock price volatility in CASE," International Journal of Managerial Finance, Emerald Group Publishing Limited, vol. 5(1), pages 110-134, February.
    103. Kaufmann, Robert K. & Ullman, Ben, 2009. "Oil prices, speculation, and fundamentals: Interpreting causal relations among spot and futures prices," Energy Economics, Elsevier, vol. 31(4), pages 550-558, July.
    104. Raymond M. Leuthold, 1974. "The Price Performance on the Futures Market of a Nonstorable Commodity: Live Beef Cattle," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 56(2), pages 271-279.
    105. Jeon, Bang Nam & Seo, Byeongseon, 2003. "The impact of the Asian financial crisis on foreign exchange market efficiency: The case of East Asian countries," Pacific-Basin Finance Journal, Elsevier, vol. 11(4), pages 509-525, September.
    106. William G. Tomek & Roger W. Gray, 1970. "Temporal Relationships Among Prices on Commodity Futures Markets: Their Allocative and Stabilizing Roles," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 52(3), pages 372-380.
    107. Aroskar, Raj & Sarkar, Salil K. & Swanson, Peggy E., 2004. "European foreign exchange market efficiency: Evidence based on crisis and noncrisis periods," International Review of Financial Analysis, Elsevier, vol. 13(3), pages 333-347.
    108. Ahmad, Rubi & Rhee, S. Ghon & Wong, Yuen Meng, 2012. "Foreign exchange market efficiency under recent crises: Asia-Pacific focus," Journal of International Money and Finance, Elsevier, vol. 31(6), pages 1574-1592.
    109. Copeland, Thomas E, 1976. "A Model of Asset Trading under the Assumption of Sequential Information Arrival," Journal of Finance, American Finance Association, vol. 31(4), pages 1149-1168, September.
    110. Robert T. Daigler & Marilyn K. Wiley, 1999. "The Impact of Trader Type on the Futures Volatility‐Volume Relation," Journal of Finance, American Finance Association, vol. 54(6), pages 2297-2316, December.
    111. Andersen, Torben G, 1996. "Return Volatility and Trading Volume: An Information Flow Interpretation of Stochastic Volatility," Journal of Finance, American Finance Association, vol. 51(1), pages 169-204, March.
    112. 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.
    113. Imad A. Moosa, 2020. "Futures crude oil prices as predictors of spot prices: lessons from the foreign exchange market," Journal of Post Keynesian Economics, Taylor & Francis Journals, vol. 43(3), pages 391-416, July.
    114. LeRoy, Stephen F, 1973. "Risk Aversion and the Martingale Property of Stock Prices," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 14(2), pages 436-446, June.
    115. Chen, Shiu-Sheng, 2012. "Revisiting the empirical linkages between stock returns and trading volume," Journal of Banking & Finance, Elsevier, vol. 36(6), pages 1781-1788.
    116. M. Dacorogna & U. Mller & R. Olsen & O. Pictet, 2001. "Defining efficiency in heterogeneous markets," Quantitative Finance, Taylor & Francis Journals, vol. 1(2), pages 198-201.
    117. Suominen, Matti, 2001. "Trading Volume and Information Revelation in Stock Market," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 36(4), pages 545-565, December.
    118. repec:dau:papers:123456789/6887 is not listed on IDEAS
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    11. Chuang, Wen-I & Liu, Hsiang-Hsi & Susmel, Rauli, 2012. "The bivariate GARCH approach to investigating the relation between stock returns, trading volume, and return volatility," Global Finance Journal, Elsevier, vol. 23(1), pages 1-15.
    12. Henryk Gurgul & Roland Mestel & Tomasz Wojtowicz, 2007. "Distribution of volume on the American stock market," Managerial Economics, AGH University of Science and Technology, Faculty of Management, vol. 1, pages 143-163.
    13. Aris Kartsaklas, 2018. "Trader Type Effects On The Volatility‐Volume Relationship Evidence From The Kospi 200 Index Futures Market," Bulletin of Economic Research, Wiley Blackwell, vol. 70(3), pages 226-250, July.
    14. Jena, Sangram Keshari & Tiwari, Aviral Kumar & Hammoudeh, Shawkat & Roubaud, David, 2019. "Distributional predictability between commodity spot and futures: Evidence from nonparametric causality-in-quantiles tests," Energy Economics, Elsevier, vol. 78(C), pages 615-628.
    15. Brajesh Kumar, 2010. "The Dynamic Relationship between Price and Trading Volume: Evidence from Indian Stock Market," Working Papers id:2379, eSocialSciences.
    16. Carroll, Rachael & Kearney, Colm, 2015. "Testing the mixture of distributions hypothesis on target stocks," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 39(C), pages 1-14.
    17. Abhinava Tripathi, 2021. "The Arrival of Information and Price Adjustment Across Extreme Quantiles: Global Evidence," IIM Kozhikode Society & Management Review, , vol. 10(1), pages 7-19, January.
    18. Loredana Ureche-Rangau & Quiterie de Rorthays, 2009. "More on the volatility-trading volume relationship in emerging markets: The Chinese stock market," Journal of Applied Statistics, Taylor & Francis Journals, vol. 36(7), pages 779-799.
    19. Adam Zaremba & Jacob Koby Shemer, 2018. "Price-Based Investment Strategies," Springer Books, Springer, number 978-3-319-91530-2, July.
    20. Yao, Yi & Yang, Rong & Liu, Zhiyuan & Hasan, Iftekhar, 2013. "Government intervention and institutional trading strategy: Evidence from a transition country," Global Finance Journal, Elsevier, vol. 24(1), pages 44-68.

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