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Arbitrage opportunities and feedback trading in regulated bitcoin futures market: An intraday analysis. (2024). Wang, Jinghua ; Ngene, Geoffrey M.
In: International Review of Economics & Finance.
RePEc:eee:reveco:v:89:y:2024:i:pb:p:743-761.

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  1. Market impact of the bitcoin ETF introduction on bitcoin futures. (2025). Xu, KE ; Chen, Yu-Lun ; Yang, Jimmy J.
    In: International Review of Financial Analysis.
    RePEc:eee:finana:v:97:y:2025:i:c:s1057521924007427.

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  1. Adcock, R. ; Gradojevic, N. Non-fundamental, nonparametric Bitcoin forecasting. 2019 Physica A: Statistical Mechanics and Its Applications. 531 -

  2. Andersen, T.G. ; Bollerslev, T. Answering the skeptics: Yes, standard volatility models do provide accurate forecasts. 1998 International Economic Review. 885-905

  3. Andersen, T.G. ; Bollerslev, T. ; Diebold, F.X. ; Ebens, H. The distribution of realized stock return volatility. 2001 Journal of Financial Economics. 61 43-76

  4. Andersen, T.G. ; Bollerslev, T. ; Diebold, F.X. ; Labys, P. Modeling and forecasting realized volatility. 2003 Econometrica. 71 579-625

  5. Antoniou, A. ; Koutmos, G. ; Pericli, A. Index futures and positive feedback trading: Evidence from major stock exchanges. 2005 Journal of Empirical Finance. 12 219-238

  6. Baker, M. ; Bradley, B. ; Wurgler, J. Benchmarks as limits to arbitrage: Understanding the low-volatility anomaly. 2011 Financial Analysts Journal. 67 40-54
    Paper not yet in RePEc: Add citation now
  7. Barber, B.M. ; Odean, T. Trading is hazardous to your wealth: The common stock investment performance of individual investors. 2000 The Journal of Finance. 55 773-806

  8. Barber, B.M. ; Odean, T. ; Zhu, N. Do retail trades move markets?. 2008 Review of Financial Studies. 22 151-186
    Paper not yet in RePEc: Add citation now
  9. Barberis, N. ; Shleifer, A. ; Vishny, R. Style investing. 1998 Journal of Financial Economics. 49 427-465
    Paper not yet in RePEc: Add citation now
  10. Barberis, N. ; Thaler, R. A survey of behavioral finance. 2003 Handbook of the Economics of Finance. 1 1053-1128

  11. Barberis, N. ; Xiong, W. Realization utility. 2012 Journal of Financial Economics. 104 251-271
    Paper not yet in RePEc: Add citation now
  12. Blackburn, D.W. ; Goetzmann, W.N. ; Ukhov, A.D. Risk aversion and clientele effects (No. w15333). 2009 National Bureau of Economic Research:

  13. Broock, W.A. ; Scheinkman, J.A. ; Dechert, W.D. ; LeBaron, B. A test for independence-based on the correlation dimension. 1996 Econometric Reviews. 15 197-235
    Paper not yet in RePEc: Add citation now
  14. Chau, F. ; Kuo, J.M. ; Shi, Y. Arbitrage opportunities and feedback trading in emissions and energy markets. 2015 Journal of International Financial Markets, Institutions and Money. 36 130-147

  15. Cheah, E.T. ; Fry, J. Speculative bubbles in bitcoin markets? An empirical investigation into the fundamental value of bitcoin. 2015 Economics Letters. 130 32-36

  16. Cifarelli, G. ; Paladino, G. Oil price dynamics and speculation: A multivariate financial approach. 2010 Energy Economics. 32 363-372

  17. Corbet, S. ; Lucey, B. ; Peat, M. ; Vigne, S. Bitcoin futures: What use are they?. 2018 Economics Letters. 172 23-27

  18. Cutler, D.M. ; Poterba, J.M. ; Summers, L.H. Speculative dynamics and the role of feedback traders. 1990 The American Economic Review. 80 63-68

  19. De Long, J.B. ; Shleifer, A. ; Summers, L.H. ; Waldmann, R.J. Noise trader risk in financial markets. 1990 Journal of Political Economy. 98 703-738

  20. Economou, F. ; Gavriilidis, K. ; Gebka, B. ; Kallinterakis, V. Feedback trading: A review of theory and empirical evidence. 2022 Review of Behavioral Finance. -

  21. Elliot, G. ; Rothenberg, T.J. ; Stock, J.H. Efficient tests for an autoregressive unit root. 1996 Econometrica. 64 813-836

  22. Entrop, O. ; Frijns, B. ; Seruset, M. The determinants of price discovery on Bitcoin markets. 2020 Journal of Futures Markets. 40 816-837

  23. Farmer, J.D. Market forces, ecology, and evolution. 2002 Industrial and Corporate Change. 11 895-953

  24. Farmer, J.D. ; Joshi, S. The price dynamics of common trading strategies. 2002 Journal of Economic Behavior & Organization. 49 149-171

  25. Ferko, A. ; Moin, A. ; Onur, E. ; Penick, M. Who trades Bitcoin futures and why?. 2023 Global Finance Journal. 55 -

  26. Gandal, N. ; Hamrick, J. ; Moore, T. ; Oberman, T. Price manipulation in the Bitcoin ecosystem. 2018 Journal of Monetary Economics. 95 86-89

  27. Garcia, D. ; Schweitzer, F. Social signals and algorithmic trading of Bitcoin. 2015 Royal Society Open Science. 2 -

  28. Gebka, B. ; Wohar, M.E. Causality between trading volume and returns: Evidence from quantile regressions. 2013 International Review of Economics & Finance. 27 144-159
    Paper not yet in RePEc: Add citation now
  29. Gorton, G.B. ; Hayashi, F. ; Rouwenhorst, K.G. The fundamentals of commodity futures returns. 2013 Review of Finance. 17 35-105

  30. Grammig, J. ; Melvin, M. ; Schlag, C. Internationally cross-listed stock prices during overlapping trading hours: Price discovery and exchange rate effects. 2005 Journal of Empirical Finance. 12 139-164

  31. Griffin, J.M. ; Shams, A. Is Bitcoin really untethered?. 2020 The Journal of Finance. 75 1913-1964

  32. Han, B. ; Kumar, A. Speculative retail trading and asset prices. 2013 Journal of Financial and Quantitative Analysis. 48 377-404

  33. Hauptfleisch, M. ; Putniņš, T.J. ; Lucey, B. Who sets the price of gold? London or New York. 2016 Journal of Futures Markets. 36 564-586

  34. Hirose, T. ; Kato, H.K. ; Bremer, M. Can margin traders predict future stock returns in Japan?. 2009 Pacific-Basin Finance Journal. 17 41-57

  35. Holmes, P. ; Kallinterakis, V. Investor sentiment and country exchange-traded fund returns. 2014 Journal of Banking & Finance. 42 166-177
    Paper not yet in RePEc: Add citation now
  36. Huang, X. ; Lin, J. ; Wang, P. Are institutional investors marching into the crypto market?. 2022 Economics Letters. 220 -

  37. Hung, J.C. ; Liu, H.C. ; Yang, J.J. Trading activity and price discovery in Bitcoin futures markets. 2021 Journal of Empirical Finance. 62 107-120

  38. Kallinterakis, V. ; Liu, F. ; Pantelous, A.A. ; Shao, J. Pricing inefficiencies and feedback trading: Evidence from country ETFs. 2020 International Review of Financial Analysis. 70 -

  39. Karaa, R. ; Slim, S. ; Goodell, J.W. ; Goyal, A. ; Kallinterakis, V. Do investors feedback trade in Bitcoin and why?. 2021 The European Journal of Finance. 1-21
    Paper not yet in RePEc: Add citation now
  40. Karalevicius, V. ; Degrande, N. ; De Weerdt, J. Using sentiment analysis to predict interday Bitcoin price movements. 2018 The Journal of Risk Economics. 19 56-75
    Paper not yet in RePEc: Add citation now
  41. Khoury, N.T. ; Yourougou, P. The informational content of the basis: Evidence from Canadian barley, oats, and canola futures markets. 1991 Journal of Futures Markets. 11 69-80

  42. Kindleberger, C.P. Manias, panics, and rationality. 1978 Eastern Economic Journal. 4 103-112

  43. King, T. ; Koutmos, D. Herding and feedback trading in cryptocurrency markets. 2021 Annals of Operations Research. 300 79-96

  44. Knetsch, T.A. Forecasting the price of crude oil via convenience yield predictions. 2007 Journal of Forecasting. 26 527-549

  45. Koenker, R. ; Bassett, G. Regression quantiles. 1978 Econometrica: Journal of the Econometric Society. 46 33-

  46. Koutmos, G. Feedback trading and the autocorrelation pattern of stock returns: Further empirical evidence. 1997 Journal of International Money and Finance. 16 625-636

  47. Koutmos, G. Positive feedback trading: A review. 2014 Review of Behavioral Finance. 6 155-162

  48. Kumar, P. ; Seppi, D.J. Information and index arbitrage. 1994 Journal of Business. 67 481-509

  49. Kwiatkowski, D. ; Phillips, P.C.B. ; Schmidt, P. ; Shin, Y. Testing the null hypothesis of stationarity against the alternative of a unit root. 1992 Journal of Econometrics. 54 159-178
    Paper not yet in RePEc: Add citation now
  50. Lien, D. ; Yang, L. Asymmetric effect of the basis on dynamic futures hedging: Empirical evidence from commodity markets. 2008 Journal of Banking & Finance. 32 187-198

  51. Lin, A.T. ; Swanson, P.E. The effect of analyst following on the cost of debt. 2008 Journal of Financial Research. 31 357-379
    Paper not yet in RePEc: Add citation now
  52. Liu, L.Y. ; Patton, A.J. ; Sheppard, K. Does anything beat 5-minute RV? A comparison of realized measures across multiple asset classes. 2015 Journal of Econometrics. 187 293-311

  53. Makarov, I. ; Schoar, A. Trading and arbitrage in cryptocurrency markets. 2020 Journal of Financial Economics. 135 293-319

  54. Marshall, B.R. ; Cahan, R.H. ; Cahan, J.M. Can commodity futures be profitably traded with quantitative market timing strategies?. 2008 Journal of Banking & Finance. 32 1810-1819

  55. Mellios, C. ; Six, P. The traditional hedging model revisited with a non-observable convenience yield. 2011 Financial Review. 46 569-593

  56. Miffre, J. ; Rallis, G. Momentum strategies in commodity futures markets. 2007 Journal of Banking & Finance. 31 1863-1886
    Paper not yet in RePEc: Add citation now
  57. Miller, M.H. ; Muthuswamy, J. ; Whale, R.E. Mean reversion of S&P 500 index basis change: Arbitrage-induced or statistical illusion. 1994 The Journal of Finance. 49 479-513

  58. Ng, S. ; Perron, P. Lag length selection and the construction of unit root tests with good size and power. 2001 Econometrica. 69 1519-1554

  59. Ngene, G.M. ; Benefield, P. ; Lynch, A.K. Asymmetric and nonlinear dynamics in sovereign credit risk markets. 2018 Journal of Futures Markets. 38 563-585

  60. Ngene, G.M. ; Mungai, A.N. Stock returns, trading volume, and volatility: The case of African stock markets. 2022 International Review of Financial Analysis. 82 -
    Paper not yet in RePEc: Add citation now
  61. Osler, C.L. Stop-loss orders and price cascades in currency markets. 2005 Journal of International Money and Finance. 24 219-241

  62. Palao, F. ; Pardo, A. Do carbon traders behave as a herd?. 2017 The North American Journal of Economics and Finance. 41 204-216
    Paper not yet in RePEc: Add citation now
  63. Phan, T.C. ; Rieger, M.O. ; Wang, M. What leads to overtrading and under- diversification? Survey evidence from retail investors in an emerging market. 2018 Journal of Behavioral and Experimental Finance. 19 39-55

  64. Phillips, P.C.B. ; Perron, P. Testing for unit roots in time series regression. 1988 Biometrika. 75 335-346
    Paper not yet in RePEc: Add citation now
  65. Plíhal, T. ; Lyócsa, Š. Modeling realized volatility of the EUR/USD exchange rate: Does implied volatility really matter?. 2021 International Review of Economics & Finance. 71 811-829

  66. Ramsey, J.B. Tests for specification errors in classical linear least-squares regression analysis. 1969 Journal of the Royal Statistical Society: Series B. 31 350-371
    Paper not yet in RePEc: Add citation now
  67. Sentana, E. ; Wadhwani, S. Feedback traders and stock return autocorrelations: Evidence from a century of daily data. 1992 The Economic Journal. 102 415-425

  68. Shleifer, A. ; Summers, L.H. The noise trader approach to finance. 1990 The Journal of Economic Perspectives. 4 19-33

  69. Sias, R.W. Institutional herding. 2004 Review of Financial Studies. 17 165-206

  70. Teall, J.L. Adverse selection, trading, and liquidity. 2023 En : Financial trading and investing. Academic Press:
    Paper not yet in RePEc: Add citation now
  71. Vitale, P. Speculative noise trading and manipulation in the foreign exchange market. 2000 Journal of International Money and Finance. 19 689-712

  72. Wang, C. ; Yu, M. Trading activities and price reversals in futures markets. 2004 Journal of Banking & Finance. 28 1337-1361
    Paper not yet in RePEc: Add citation now
  73. Wang, J. ; Ngene, G.M. Does bitcoin still own the dominant power? An intraday analysis. 2020 International Review of Financial Analysis. 71 -

  74. Wang, J.N. ; Lee, Y.H. ; Liu, H.C. ; Lee, M.C. The determinants of positive feedback trading behaviors in Bitcoin markets. 2022 Finance Research Letters. 45 -

  75. Zhong, M. ; Darrat, A.F. ; Otero, R. Price discovery and volatility spillovers in index futures markets: Some evidence from Mexico. 2004 Journal of Banking & Finance. 28 3037-3054

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