IDEAS home Printed from https://ideas.repec.org/r/oup/rfinst/v6y1993i1p155-89.html
   My bibliography  Save this item

Return Autocorrelations around Nontrading Days

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Dong-Hyun Ahn & Jacob Boudoukh & Matthew Richardson & Robert F. Whitelaw, 1999. "Behavioralize This! International Evidence on Autocorrelation Patterns of Stock Index and Futures Returns," NBER Working Papers 7214, National Bureau of Economic Research, Inc.
  2. Charles, Amélie, 2010. "The day-of-the-week effects on the volatility: The role of the asymmetry," European Journal of Operational Research, Elsevier, vol. 202(1), pages 143-152, April.
  3. Philip Hans Franses & Richard Paap, 2000. "Modelling day-of-the-week seasonality in the S&P 500 index," Applied Financial Economics, Taylor & Francis Journals, vol. 10(5), pages 483-488.
  4. Dong-Hyun Ahn & Jacob Boudoukh & Matthew Richardson & Robert Whitelaw, 1999. "Behavioralize This! International Evidence on Autocorrelation Patterns of Stock Index and Futures Returns," New York University, Leonard N. Stern School Finance Department Working Paper Seires 99-040, New York University, Leonard N. Stern School of Business-.
  5. Josep Garcia Blandón, 2001. "New findings regarding return autocorrelation anomalies and the importance of non-trading periods," Economics Working Papers 585, Department of Economics and Business, Universitat Pompeu Fabra.
  6. John M.R. Chalmers & Roger M. Edelen & Gregory B. Kadlec, "undated". "The wildcard option in transaction mutual-fund shares," Rodney L. White Center for Financial Research Working Papers 25-99, Wharton School Rodney L. White Center for Financial Research.
  7. Keef, Stephen P & Khaled, Mohammed S, 2011. "The friday the thirteenth effect in stock prices: international evidence using panel data," Working Paper Series 18607, Victoria University of Wellington, School of Economics and Finance.
  8. Gao, Pengjie & Hao, Jia & Kalcheva, Ivalina & Ma, Tongshu, 2015. "Short sales and the weekend effect—Evidence from a natural experiment," Journal of Financial Markets, Elsevier, vol. 26(C), pages 85-102.
  9. Rhee, S. Ghon & Wang, Chi-Jeng, 1997. "The bid-ask bounce effect and the spread size effect: Evidence from the Taiwan stock market," Pacific-Basin Finance Journal, Elsevier, vol. 5(2), pages 231-258, June.
  10. Sakhr Miss & Michel Charifzadeh & Tim A. Herberger, 2020. "Revisiting the monday effect: a replication study for the German stock market," Management Review Quarterly, Springer, vol. 70(2), pages 257-273, May.
  11. Keef, Stephen P. & Khaled, Mohammed & Zhu, Hui, 2009. "The dynamics of the Monday effect in international stock indices," International Review of Financial Analysis, Elsevier, vol. 18(3), pages 125-133, June.
  12. Franses,Philip Hans & Dijk,Dick van, 2000. "Non-Linear Time Series Models in Empirical Finance," Cambridge Books, Cambridge University Press, number 9780521770415.
  13. Lean, Hooi Hooi & Smyth, Russell & Wong, Wing-Keung, 2007. "Revisiting calendar anomalies in Asian stock markets using a stochastic dominance approach," Journal of Multinational Financial Management, Elsevier, vol. 17(2), pages 125-141, April.
  14. Ülkü, Numan & Rogers, Madeline, 2018. "Who drives the Monday effect?," Journal of Economic Behavior & Organization, Elsevier, vol. 148(C), pages 46-65.
  15. Denise R. Osborn & Christos S. Savva & Len Gill, 2008. "Periodic Dynamic Conditional Correlations between Stock Markets in Europe and the US," Journal of Financial Econometrics, Oxford University Press, vol. 6(3), pages 307-325, Summer.
  16. Mehmet Dicle & John Levendis, 2014. "The day-of-the-week effect revisited: international evidence," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 38(3), pages 407-437, July.
  17. Shlomo Zilca, 2017. "Day-of-the-week returns and mood: an exterior template approach," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 3(1), pages 1-21, December.
  18. Stephen P. Keef & Hui Zhu, 2009. "The Monday effect in U.S. cotton prices," Agribusiness, John Wiley & Sons, Ltd., vol. 25(3), pages 427-448.
  19. Venezia, Itzhak & Shapira, Zur, 2007. "On the behavioral differences between professional and amateur investors after the weekend," Journal of Banking & Finance, Elsevier, vol. 31(5), pages 1417-1426, May.
  20. Ling Cen & Kalok Chan & Sudipto Dasgupta & Ning Gao, 2013. "When the Tail Wags the Dog: Industry Leaders, Limited Attention, and Spurious Cross-Industry Information Diffusion," Management Science, INFORMS, vol. 59(11), pages 2566-2585, November.
  21. M. Imtiaz Mazumder & Edward M. Miller & Oscar A. Varela, 2010. "Market Timing the Trading of International Mutual Funds: Weekend, Weekday and Serial Correlation Strategies," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 37(7‐8), pages 979-1007, July.
  22. Hiraki, Takato & Maberly, Edwin D., 1995. "Are preholiday returns in Tokyo really anomalous? If so, why?," Pacific-Basin Finance Journal, Elsevier, vol. 3(1), pages 93-111, May.
  23. Venezia, Itzhak & Shapira, Zur, 2004. "Do professional investors behave differently than amateurs after the weekend?," Discussion Papers 2004/14, Free University Berlin, School of Business & Economics.
  24. Keef, Stephen P & Khaled, Mohammed S, 2011. "The friday the thirteenth effect in stock prices: international evidence using panel data," Working Paper Series 1994, Victoria University of Wellington, School of Economics and Finance.
  25. Kedar-Levy, Haim & Yu, Xiaoyan & Kamesaka, Akiko & Ben-Zion, Uri, 2010. "The impact of daily return limit and segmented clientele on stock returns in China," International Review of Financial Analysis, Elsevier, vol. 19(4), pages 223-236, September.
  26. Jose Garcia Blandon, 2007. "Return autocorrelation anomalies in two European stock markets," Revista de Analisis Economico – Economic Analysis Review, Universidad Alberto Hurtado/School of Economics and Business, vol. 22(1), pages 59-70, June.
  27. M. Imtiaz Mazumder & Edward M. Miller & Oscar A. Varela, 2010. "Market Timing the Trading of International Mutual Funds: Weekend, Weekday and Serial Correlation Strategies," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 37(7-8), pages 979-1007.
  28. Chowdhury, Anup & Uddin, Moshfique & Anderson, Keith, 2022. "Trading behaviour and market sentiment: Firm-level evidence from an emerging Islamic market," Global Finance Journal, Elsevier, vol. 53(C).
  29. Vicent AragO-Manzana & M Angeles Fernandezizquierdo, 2003. "Monthly seasonality of the returns and volatility of the IBEX-35 index and its futures contract," Applied Economics Letters, Taylor & Francis Journals, vol. 10(3), pages 129-133.
  30. John M.R. Chalmers & Roger M. Edelen & Gregory B. Kadlec, 1999. "The Wildcard Option in Transacting Mutual-Fund Shares," Center for Financial Institutions Working Papers 00-03, Wharton School Center for Financial Institutions, University of Pennsylvania.
  31. Paul Brockman & David Michayluk, 1998. "Individual versus institutional investors and the weekend effect," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 22(1), pages 71-85, March.
  32. Kandel, Eugene & Rindi, Barbara & Bosetti, Luisella, 2012. "The effect of a closing call auction on market quality and trading strategies," Journal of Financial Intermediation, Elsevier, vol. 21(1), pages 23-49.
  33. Imtiaz Mazumder, M. & Chu, Ting-Heng & Miller, Edward M. & Prather, Larry J., 2008. "International day-of-the-week effects: An empirical examination of iShares," International Review of Financial Analysis, Elsevier, vol. 17(4), pages 699-715, September.
  34. Vozlyublennaia, Nadia, 2014. "Investor attention, index performance, and return predictability," Journal of Banking & Finance, Elsevier, vol. 41(C), pages 17-35.
  35. John Hatgioannides & Spiros Mesomeris, 2005. "Mean Reversion in Equity Prices: the G-7 Evidence," Money Macro and Finance (MMF) Research Group Conference 2005 64, Money Macro and Finance Research Group.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.