The overnight effect on the Taiwan stock market

被引:5
作者
Tsai, Kuo-Ting [1 ]
Lih, Jiann-Shing [1 ]
Ko, Jing-Yuan [1 ]
机构
[1] Natl Kaohsiung Normal Univ, Dept Phys, Kaohsiung 824, Taiwan
关键词
Cross-correlation; Econophysics; Overnight return; FINANCIAL-MARKETS; CROSS-CORRELATIONS; INFORMATION; VOLATILITY; RETURN; FLUCTUATIONS; BEHAVIOR; IMPACT;
D O I
10.1016/j.physa.2012.07.010
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
This study examines statistical regularities among three components of stocks and indices: daytime (trading hour) return, overnight (off-hour session) return, and total (close-to-close) return. Owing to the fact that the Taiwan Stock Exchange (TWSE) has the longest non-trading periods among major markets, the TWSE is selected to explore the correlation among the three components and compare it with major markets such as the New York Stock Exchange (NYSE) and the National Association of Securities Dealers Automated Quotation (NASDAQ). Analysis results indicate a negative cross correlation between the sign of daytime return and the sign of overnight return; possibly explaining why most stocks feature a negative cross correlation between daytime return and overnight return [F. Wang, Shieh, S. Havlin, H.E. Stanley, Statistical analysis of the overnight and daytime return, Phys. Rev. E 79 (2009) 056109]. Additionally, the cross correlation between the magnitude of returns is analyzed. According to those results, a larger magnitude of overnight return implies a higher probability that the sign of the following daytime return is the opposite of the sign of overnight return. Namely, the predictability of daytime return might be improved when a stock undergoes a large magnitude of overnight return. Furthermore, the cross correlations of 29 indices of worldwide markets are discussed. (C) 2012 Elsevier B.V. All rights reserved.
引用
收藏
页码:6497 / 6505
页数:9
相关论文
共 33 条
  • [1] A comparison of trading and non-trading mechanisms for price discovery
    Barclay, Michael J.
    Hendershott, Terrence
    [J]. JOURNAL OF EMPIRICAL FINANCE, 2008, 15 (05) : 839 - 849
  • [2] How does the call market method affect price efficiency? Evidence from the Singapore Stock Market
    Chang, Rosita P.
    Rhee, S. Ghon
    Stone, Gregory R.
    Tang, Ning
    [J]. JOURNAL OF BANKING & FINANCE, 2008, 32 (10) : 2205 - 2219
  • [3] Are price limits really bad for equity markets?
    Deb, Saikat Sovan
    Kalev, Petko S.
    Marisetty, Vijaya B.
    [J]. JOURNAL OF BANKING & FINANCE, 2010, 34 (10) : 2462 - 2471
  • [4] Cross-correlation and the predictability of financial return series
    Duan, Wen-Qi
    Stanley, H. Eugene
    [J]. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2011, 390 (02) : 290 - 296
  • [5] Transmission of information and herd behavior:: An application to financial markets
    Eguíluz, VM
    Zimmermann, MG
    [J]. PHYSICAL REVIEW LETTERS, 2000, 85 (26) : 5659 - 5662
  • [6] A theory of power-law distributions in financial market fluctuations
    Gabaix, X
    Gopikrishnan, P
    Plerou, V
    Stanley, HE
    [J]. NATURE, 2003, 423 (6937) : 267 - 270
  • [7] Güner N, 2002, EMERG MARK FINANC TR, V38, P26
  • [8] Group dynamics of the Japanese market
    Jung, Woo-Sung
    Kwon, Okyu
    Wang, Fengzhong
    Kaizoji, Taisei
    Moon, Hie-Tae
    Stanley, H. Eugene
    [J]. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2008, 387 (2-3) : 537 - 542
  • [9] Criticality and phase transition in stock-price fluctuations - art. no. 068701
    Kiyono, K
    Struzik, ZR
    Yamamoto, Y
    [J]. PHYSICAL REVIEW LETTERS, 2006, 96 (06)
  • [10] Econophysics - Master curve for price-impact function
    Lillo, F
    Farmer, JD
    Mantegna, RN
    [J]. NATURE, 2003, 421 (6919) : 129 - 130