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Dynamic trading and asset prices: Keynes vs. Hayek

Citations

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Cited by:

  1. Kristoffer Nimark, 2007. "Dynamic higher order expectations," Economics Working Papers 1118, Department of Economics and Business, Universitat Pompeu Fabra, revised Mar 2011.
  2. Maryam Farboodi & Laura Veldkamp, 2017. "Long Run Growth of Financial Technology," NBER Working Papers 23457, National Bureau of Economic Research, Inc.
  3. Winter, Christoph, 2018. "The Impact of Heterogeneous Signals on Stock Price Predictability in a Rational Expectations Model," Working papers 2018/21, Faculty of Business and Economics - University of Basel.
  4. Liu, Hong & Wang, Yajun, 2016. "Market making with asymmetric information and inventory risk," Journal of Economic Theory, Elsevier, vol. 163(C), pages 73-109.
  5. Vives, Xavier & Cespa, Giovanni, 2011. "Expectations, Liquidity, and Short-term Trading," CEPR Discussion Papers 8303, C.E.P.R. Discussion Papers.
  6. Giovanni Cespa & Xavier Vives, 2015. "The Beauty Contest and Short-Term Trading," Journal of Finance, American Finance Association, vol. 70(5), pages 2099-2154, October.
  7. Timothy J. Quigley & Craig Crossland & Robert J. Campbell, 2017. "Shareholder perceptions of the changing impact of CEOs: Market reactions to unexpected CEO deaths, 1950–2009," Strategic Management Journal, Wiley Blackwell, vol. 38(4), pages 939-949, April.
  8. Guido Lorenzoni & George-Marios Angeletos, 2010. "Price Making Intermediation," 2010 Meeting Papers 963, Society for Economic Dynamics.
  9. Xavier Vives & Giovanni Cespa, 2011. "Higher Order Expectations, Illiquidity, and Short Term Trading," 2011 Meeting Papers 929, Society for Economic Dynamics.
  10. Albagli, Elias, 2015. "Investment horizons and asset prices under asymmetric information," Journal of Economic Theory, Elsevier, vol. 158(PB), pages 787-837.
  11. Marco Ottaviani & Peter Norman Sørensen, 2015. "Price Reaction to Information with Heterogeneous Beliefs and Wealth Effects: Underreaction, Momentum, and Reversal," American Economic Review, American Economic Association, vol. 105(1), pages 1-34, January.
  12. Allen, Franklin & Vayanos, Dimitri & Vives, Xavier, 2014. "Introduction to financial economics," Journal of Economic Theory, Elsevier, vol. 149(C), pages 1-14.
  13. Peress, Joel & Schmidt, Daniel, 2021. "Noise traders incarnate: Describing a realistic noise trading process," Journal of Financial Markets, Elsevier, vol. 54(C).
  14. David Russ, 2020. "Multidimensional Noise and Non-Fundamental Information Diversity," Working Papers 201, Bavarian Graduate Program in Economics (BGPE).
  15. Veldkamp, Laura & Farboodi, Maryam, 2018. "Long Run Growth of Financial Data Technology," CEPR Discussion Papers 13278, C.E.P.R. Discussion Papers.
  16. Estelle Cantillon & Aurélie Slechten, 2018. "Information Aggregation in Emissions Markets with Abatement," Annals of Economics and Statistics, GENES, issue 132, pages 53-79.
  17. Winter, Christoph, 2018. "The Impact of Heterogeneous Signals on Stock Price Predictability in a Strategic Trade Model," Working papers 2018/22, Faculty of Business and Economics - University of Basel.
  18. Wang, Yudong & Liu, Li & Wu, Chongfeng, 2020. "Forecasting commodity prices out-of-sample: Can technical indicators help?," International Journal of Forecasting, Elsevier, vol. 36(2), pages 666-683.
  19. Albuquerque, Rui & Miao, Jianjun, 2014. "Advance information and asset prices," Journal of Economic Theory, Elsevier, vol. 149(C), pages 236-275.
  20. George-Marios Angeletos & Guido Lorenzoni & Alessandro Pavan, 2010. "Beauty Contests and "Irrational Exuberance": A Neoclassical Approach," Discussion Papers 1502, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
  21. Vives, Xavier & Cespa, Giovanni, 2016. "Market Transparency and Fragility," CEPR Discussion Papers 11732, C.E.P.R. Discussion Papers.
  22. Andrew Detzel & Hong Liu & Jack Strauss & Guofu Zhou & Yingzi Zhu, 2021. "Learning and predictability via technical analysis: Evidence from bitcoin and stocks with hard‐to‐value fundamentals," Financial Management, Financial Management Association International, vol. 50(1), pages 107-137, March.
  23. Pavan, Alessandro & Vives, Xavier, 2015. "Information, Coordination, and Market Frictions: An Introduction," Journal of Economic Theory, Elsevier, vol. 158(PB), pages 407-426.
  24. Cespa, Giovanni & Vives, Xavier, 2017. "High Frequency Trading and Fragility," IESE Research Papers D/1161, IESE Business School.
  25. 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.
  26. Chen, Binbin & Liu, Shancun & (John) Liu, Zhiyong, 2021. "The more myopic, the more chaos? How the degree of traders’ short-termism affects the financial market equilibrium," International Review of Economics & Finance, Elsevier, vol. 75(C), pages 596-608.
  27. Enoch Cheng & Clemens C. Struck, 2019. "Time-Series Momentum: A Monte-Carlo Approach," Working Papers 201906, School of Economics, University College Dublin.
  28. Han, Yufeng & Zhou, Guofu & Zhu, Yingzi, 2016. "A trend factor: Any economic gains from using information over investment horizons?," Journal of Financial Economics, Elsevier, vol. 122(2), pages 352-375.
  29. Andrei, Daniel & Cujean, Julien, 2017. "Information percolation, momentum and reversal," Journal of Financial Economics, Elsevier, vol. 123(3), pages 617-645.
  30. Barbosa, António, 2019. "The Role of Information in the Discrepancy Between Average Prices and Expectations," MPRA Paper 97416, University Library of Munich, Germany.
  31. Peter C. Dawson, 2015. "The capital asset pricing model in economic perspective," Applied Economics, Taylor & Francis Journals, vol. 47(6), pages 569-598, February.
  32. Yufeng Lin & Xiaogang Wang & Yuehua Wu, 2023. "An Adaptive Multiple-Asset Portfolio Strategy with User-Specified Risk Tolerance," Mathematics, MDPI, vol. 11(7), pages 1-35, March.
  33. Giovanni Cespa, 2008. "Information Sales and Insider Trading with Long‐Lived Information," Journal of Finance, American Finance Association, vol. 63(2), pages 639-672, April.
  34. Mingwei Sun & Paskalis Glabadanidis, 2022. "Can technical indicators predict the Chinese equity risk premium?," International Review of Finance, International Review of Finance Ltd., vol. 22(1), pages 114-142, March.
  35. Kristoffer Nimark, 2009. "Speculative dynamics in the term structure of interest rates," Economics Working Papers 1194, Department of Economics and Business, Universitat Pompeu Fabra, revised Sep 2012.
  36. Jia, Xue, 2016. "On the role of information disclosures in capital markets," Other publications TiSEM 9bacfbaa-2162-49fe-92e6-5, Tilburg University, School of Economics and Management.
  37. George-Marios Angeletos & Chen Lian, 2016. "Incomplete Information in Macroeconomics: Accommodating Frictions in Coordination," NBER Working Papers 22297, National Bureau of Economic Research, Inc.
  38. Peck, James, 2014. "A battle of informed traders and the market game foundations for rational expectations equilibrium," Games and Economic Behavior, Elsevier, vol. 88(C), pages 153-173.
  39. Russ, David, 2022. "Multidimensional noise and non-fundamental information diversity," The North American Journal of Economics and Finance, Elsevier, vol. 59(C).
  40. Ferrer Fernández, María & Henry, Ólan & Pybis, Sam & Stamatogiannis, Michalis P., 2023. "Can we forecast better in periods of low uncertainty? The role of technical indicators," Journal of Empirical Finance, Elsevier, vol. 71(C), pages 1-12.
  41. Angeletos, G.-M. & Lian, C., 2016. "Incomplete Information in Macroeconomics," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 1065-1240, Elsevier.
  42. Giovanni Cespa & Thierry Foucault, 2014. "Sale of Price Information by Exchanges: Does It Promote Price Discovery?," Management Science, INFORMS, vol. 60(1), pages 148-165, January.
  43. Zhang Enguang & Ma He, 2023. "An Empirical Study on Chinese Futures Market Based on Bollinger Bands Strategy and R," Journal of Finance and Investment Analysis, SCIENPRESS Ltd, vol. 12(4), pages 1-1.
  44. Maryam Farboodi & Laura Veldkamp, 2018. "Long Run Growth of Financial Data Technology," Working Papers 18-09, New York University, Leonard N. Stern School of Business, Department of Economics.
  45. George-Marios Angeletos & Guido Lorenzoni & Alessandro Pavan, 2007. "Wall Street and Silicon Valley: A Delicate Interaction," NBER Working Papers 13475, National Bureau of Economic Research, Inc.
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