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Price clustering and natural resistance points in the Dutch stock market: A natural experiment

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Cited by:

  1. Li, Xin & Li, Shenghong & Xu, Chong, 2020. "Price clustering in Bitcoin market—An extension," Finance Research Letters, Elsevier, vol. 32(C).
  2. Li, Dan & Liu, Lixin & Xu, Guangli, 2023. "Psychological barriers and option pricing in a local volatility model," The North American Journal of Economics and Finance, Elsevier, vol. 64(C).
  3. Snir, Avichai & Chen, Haipeng (Allan) & Levy, Daniel, 2022. "Zero-Ending Prices, Cognitive Convenience, and Price Rigidity," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 203, pages 519-542.
  4. Uhr, Charline & Meyer, Steffen & Hackethal, Andreas, 2021. "Smoking hot portfolios? Trading behavior, investment biases, and self-control failure," Journal of Empirical Finance, Elsevier, vol. 63(C), pages 73-95.
  5. Ashton, John K. & Hudson, Robert S., 2008. "Interest rate clustering in UK financial services markets," Journal of Banking & Finance, Elsevier, vol. 32(7), pages 1393-1403, July.
  6. Bill M. Cai & Charlie X. Cai & Kevin Keasey, 2007. "Influence of cultural factors on price clustering and price resistance in China's stock markets," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 47(4), pages 623-641, December.
  7. Telli, Şahin & Zhao, Xufeng, 2023. "Clustering in Bitcoin balance," Finance Research Letters, Elsevier, vol. 55(PA).
  8. Brown, Alasdair & Yang, Fuyu, 2016. "Limited cognition and clustered asset prices: Evidence from betting markets," Journal of Financial Markets, Elsevier, vol. 29(C), pages 27-46.
  9. Robert Brooks & Edwyna Harris & Yovina Joymungul, 2013. "Price clustering in Australian water markets," Applied Economics, Taylor & Francis Journals, vol. 45(6), pages 677-685, February.
  10. T. De Angelis & G. Peskir, 2016. "Optimal prediction of resistance and support levels," Applied Mathematical Finance, Taylor & Francis Journals, vol. 23(6), pages 465-483, November.
  11. Diederich, Johannes & Epperson, Raphael & Goeschl, Timo, 2021. "How to Design the Ask? Funding Units vs. Giving Money," Working Papers 0698, University of Heidelberg, Department of Economics.
  12. Cummins, Mark & Dowling, Michael & Lucey, Brian M., 2015. "Behavioral influences in non-ferrous metals prices," Resources Policy, Elsevier, vol. 45(C), pages 9-22.
  13. Hu, Bill & McInish, Thomas & Miller, Jonathan & Zeng, Li, 2019. "Intraday price behavior of cryptocurrencies," Finance Research Letters, Elsevier, vol. 28(C), pages 337-342.
  14. Florian Englmaier & Arno Schmöller, 2008. "Reserve Price Formation in Online Auctions," CESifo Working Paper Series 2374, CESifo.
  15. Yizhou Bai & Zhiyu Guo, 2019. "An Empirical Investigation to the “Skew” Phenomenon in Stock Index Markets: Evidence from the Nikkei 225 and Others," Sustainability, MDPI, vol. 11(24), pages 1-17, December.
  16. Christos Alexakis & Mark Cummins & Michael Dowling & Vasileios Pappas, 2018. "A High-Frequency Analysis of Price Resolution and Pricing Barriers in Equities on the Adoption of a New Currency," Post-Print hal-01994666, HAL.
  17. Urquhart, Andrew, 2017. "Price clustering in Bitcoin," Economics Letters, Elsevier, vol. 159(C), pages 145-148.
  18. Narayan, Paresh Kumar & Smyth, Russell, 2013. "Has political instability contributed to price clustering on Fiji's stock market?," Journal of Asian Economics, Elsevier, vol. 28(C), pages 125-130.
  19. Kalaichelvan, Mohandass & Lim Kai Jie, Shawn, 2012. "A Critical Evaluation of the Significance of Round Numbers in European Equity Markets in Light of the Predictions from Benford’s Law," MPRA Paper 40960, University Library of Munich, Germany.
  20. Jörg Rieger & Kirsten Rüchardt & Bodo Vogt, 2011. "Comparing High Frequency Data of Stocks that are Traded Simultaneously in the US and Germany: Simulated Versus Empirical Data," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 1(2), pages 126-142, December.
  21. Donglian Ma & Hisashi Tanizaki, 2022. "Intraday patterns of price clustering in Bitcoin," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-25, December.
  22. Stowasser, Till & Englmaier, Stowasser & Schmöller, Arno, 2016. "Determinants and Effects of Reserve Prices in Auctions," VfS Annual Conference 2016 (Augsburg): Demographic Change 145540, Verein für Socialpolitik / German Economic Association.
  23. Hu, Bill & Hwang, Joon Ho & Jiang, Christine & Washam, Jim & Zeng, Li, 2022. "Down to the cents: The case of international drug prices," Finance Research Letters, Elsevier, vol. 46(PA).
  24. Enrique Fatas & Ernan Haruvy & Antonio J. Morales, 2014. "A Psychological Reexamination of the Bertrand Paradox," Southern Economic Journal, John Wiley & Sons, vol. 80(4), pages 948-967, April.
  25. Shiyu Song & Yongjin Wang, 2017. "Pricing double barrier options under a volatility regime-switching model with psychological barriers," Review of Derivatives Research, Springer, vol. 20(3), pages 255-280, October.
  26. Aerts, Walter & Campenhout, Geert Van & Caneghem, Tom Van, 2008. "Clustering in dividends: Do managers rely on cognitive reference points?," Journal of Economic Psychology, Elsevier, vol. 29(3), pages 276-284, June.
  27. Vladim'ir Hol'y & Petra Tomanov'a, 2021. "Modeling Price Clustering in High-Frequency Prices," Papers 2102.12112, arXiv.org, revised Mar 2021.
  28. Englmaier, Florian & Schmöller, Arno, 2010. "Determinants and Effects of Reserve Prices in Hattrick Auctions," Discussion Paper Series of SFB/TR 15 Governance and the Efficiency of Economic Systems 326, Free University of Berlin, Humboldt University of Berlin, University of Bonn, University of Mannheim, University of Munich.
  29. Kirsten Rüchardt & Bodo Vogt, 2009. "Comparison of the Stock Price Clustering of stocks which are traded in the US and Germany—Is XETRA more efficient than the NYSE?," FEMM Working Papers 09016, Otto-von-Guericke University Magdeburg, Faculty of Economics and Management.
  30. Berk, Ales S. & Cummins, Mark & Dowling, Michael & Lucey, Brian M., 2017. "Psychological price barriers in frontier equities," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 49(C), pages 1-14.
  31. Lynn, Michael & Flynn, Sean Masaki & Helion, Chelsea, 2013. "Do consumers prefer round prices? Evidence from pay-what-you-want decisions and self-pumped gasoline purchases," Journal of Economic Psychology, Elsevier, vol. 36(C), pages 96-102.
  32. Christos Alexakis & Mark Cummins & Michael Dowling & Vasileios Pappas, 2018. "A high-frequency analysis of price resolution and pricing barriers in equities on the adoption of a new currency," Applied Economics, Taylor & Francis Journals, vol. 50(36), pages 3949-3965, August.
  33. Garz, Marcel, 2018. "Effects of unemployment news on economic perceptions – Evidence from German Federal States," Regional Science and Urban Economics, Elsevier, vol. 68(C), pages 172-190.
  34. Schmöller, Arno, 2010. "Bidding Behavior, Seller Strategies, and the Utilization of Information in Auctions for Complex Goods," Munich Dissertations in Economics 11175, University of Munich, Department of Economics.
  35. Hiroaki Sakaguchi & John Gathergood & Neil Stewart, 2020. "How Preferences for Round Numbers Affect Choices: Stickiness and Jumpiness in Credit Card Payments," Discussion Papers 2020-20, The Centre for Decision Research and Experimental Economics, School of Economics, University of Nottingham.
  36. Charles N. Noussair & Gregers Richter & Jean-Robert Tyran, 2008. "Money Illusion and Nominal Inertia in Experimental Asset Markets," Discussion Papers 08-29, University of Copenhagen. Department of Economics.
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