Skip to main content
Log in

Liquidity commonality and spillover in the US and Japanese markets: an intraday analysis using exchange-traded funds

  • Original Research
  • Published:
Review of Quantitative Finance and Accounting Aims and scope Submit manuscript

Abstract

This article examines the intraday returns and liquidity patterns of the Standard & Poor’s Depositary Receipts (SPY) and the iShares Morgan Stanley Capital International Inc. (MSCI) Japan Index Fund (EWJ). These exchange-traded funds seemingly have very different holdings, namely, US stocks and Japanese stocks. Our findings suggest that some commonality exists in the returns and liquidity of these apparently different assets. First, there are intraday, daily and monthly patterns in the measures of liquidity for both funds. Second, the measures of liquidity are correlated across these two assets. Third, there is evidence of intraday spillover in the mean, volatility and depth from the SPY to the EWJ, but daily spillover is not observed. Our study extends two evolving strands of the literature: the integration of world markets in terms of returns behavior, and the other strand suggests that liquidity may have a systematic, or market-wide, component. This paper provides direct evidence of the integration between the US and Japanese markets because contemporaneous trading prices for the US (SPY) and Japanese (EWJ) indices are employed.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

Notes

  1. The well-known Lee and Ready (1991) method with contemporaneous quotes was used to estimate the sign of the trades. In our large sample, this method of estimation is reliable, as is shown by Lee and Radhakrishna (2000) and Odders-White (2000).

  2. We use a VAR model instead of a GARCH model to analyze volatility transmission. The results with VAR are less model dependent, as noted by Booth et al. (1997) and Melvin and Melvin (2003).

  3. Residuals from adjustment regressions were used for VAR tests as dependent variables because they are purged of seasonality effects.

  4. According to Lindley (1957), lower significance levels should be required for large samples, otherwise spurious significance results may be obtained due to a large sample. In the literature, this is known as Lindley’s paradox.

References

  • Amihud Y, Mendelson H (1980) Dealership market: market making with inventory. J Financial Econ 8:31–53

    Article  Google Scholar 

  • Amihud Y, Mendelson H (1986) Asset pricing and the bid-ask spread. J Financial Econ 17:223–249

    Article  Google Scholar 

  • Avromov D, Chordia T, Goyal A (2006), Liquidity and Autocorrelations in Individual Stock Returns. J Finance 61:2365–2394

    Article  Google Scholar 

  • Bodurtha J, Kim D-S, Lee C (1995) Closed-end country funds and U.S. market sentiment. Rev Financial Stud 8:879–918

    Article  Google Scholar 

  • Booth G, Chowdhury M, Martikainen T, Tse Y (1997) Intraday volatility in international stock index futures markets: meteor showers or heat waves? Manage Sci 43:1564–1576

    Article  Google Scholar 

  • Brockman P, Chung DY (2003) The inter-temporal behavior of informed and uninformed traders. Rev Quant Finance Account 21:251–265

    Article  Google Scholar 

  • Campbell J, Hamao Y (1992) Predictable stock returns in the United States and Japan: A study of long-term capital market integration. J Finance 47:43–69

    Article  Google Scholar 

  • Chan K, Hameed A, Lau S-T (2003) What if trading location is different from business location? Evidence from the Jardine group. J Finance 53:1221–1246

    Article  Google Scholar 

  • Chan K, Karolyi GA, Stulz R (1992) Global financial markets and the risk premium on U.S. equity. J Financial Econ 32:137–167

    Article  Google Scholar 

  • Chordia T, Roll R, Subrahmanyam A (2000) Commonality in liquidity. J Financial Econ 56:3–28

    Article  Google Scholar 

  • Chordia T, Roll R, Subrahmanyam A (2001) Market liquidity and trading activity. J Finance 56:501–530

    Article  Google Scholar 

  • Chordia T, Roll R, Subrahmanyam A (2002) Order imbalance, liquidity, and market returns. J Financial Econ 65:111–130

    Article  Google Scholar 

  • Chordia T, Sarkar A, Subrahmanyam A (2005) An empirical analysis of stock and bond market liquidity. Rev Financial Stud 18:85–129

    Article  Google Scholar 

  • Chordia T, Roll R, Subrahmanyam A (2005) Evidence on the speed of convergence to market efficiency. J Financial Econ 76:271–292

    Article  Google Scholar 

  • Craig A, Dravid A, Richardson M (1995) Market efficiency around the clock: Some supporting evidence using foreign-based derivatives. J Financial Econ 39:161–180

    Article  Google Scholar 

  • Froot K, Dabora E (1999) How are stock prices affected by the location of trade? J Financial Econ 53:189–216

    Article  Google Scholar 

  • Gallant A, Rossi P, Tauchen G (1992) Stock prices and volume. Rev Financial Stud 5:199–242

    Article  Google Scholar 

  • Glosten L, Milgrom P (1985) Bid, ask and transaction prices in a specialist market with heterogeneously informed traders. J Financial Econ 14:71–100

    Article  Google Scholar 

  • Grossman S, Miller M (1988) Liquidity and market structure. J Finance 43:617–633

    Article  Google Scholar 

  • Hamao Y, Masulis R, Ng V (1990) Correlations in price changes and volatility across international stock markets. Rev Financial Stud 3:281–308

    Article  Google Scholar 

  • Karagozoglu AK, Martell TF, Wang GHK (2003) The split of the S&P 500 futures contract: effects on liquidity and market dynamics. Rev Quant Finance Account 21:323–348

    Article  Google Scholar 

  • Lee B (1995) Common stochastic trends and predictability of international stock prices. J Japan Int Econ 9:245–277

    Article  Google Scholar 

  • Lee C, Radhakrishna B (2000) Inferring investor behavior: evidence from TORQ data. J Financial Market 3:83–111

    Article  Google Scholar 

  • Lee C, Ready M (1991) Inferring trade direction from intraday data. J Finance 46:733–747

    Article  Google Scholar 

  • Lin W, Engle R, Ito T (1994) Do bulls and bears move across borders? International transmission of stock returns and volatility. Rev Financial Stud 7:507–538

    Article  Google Scholar 

  • Lindley DV (1957) A statistical paradox. Biometrika 44:187–192

    Google Scholar 

  • Melvin M, Melvin B (2003), Global transmission of volatility in the foreign exchange market. Rev Econ Stat 85:670–679

    Article  Google Scholar 

  • Odders-White E (2000) On the occurrence and consequences of inaccurate trade classification. J Financial Market 3:205–332

    Article  Google Scholar 

  • Olienyk J, Schwebach R, Zumwalt J (1999) WEBS, SPDRs, and country funds: an analysis if international cointegration. J Multinational Financial Manage 9:217–232

    Article  Google Scholar 

  • Pennathur A, Delcours N, Anderson D (2002) Diversification benefits of iShares and closed-end country funds. J Financial Res 25:541–557

    Article  Google Scholar 

  • Tse Y, Hackard JC (2004) Can Island provide liquidity and price discovery in the dark?. Rev Quant Finance Account 23:149–166

    Article  Google Scholar 

  • White H (1980) A heteroscedasticity-consistent covariance matrix estimator and a direct test for heteroscedasticity. Econometrica 48:149–170

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yiuman Tse.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Datar, V., So, R.W. & Tse, Y. Liquidity commonality and spillover in the US and Japanese markets: an intraday analysis using exchange-traded funds. Rev Quant Finan Acc 31, 379–393 (2008). https://doi.org/10.1007/s11156-008-0084-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11156-008-0084-9

Keywords

JEL Classifications

Navigation