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Asynchronous ADRs: Overnight vs Intraday Returns and Trading Strategies

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  • Tim Leung
  • Jamie Kang

Abstract

American Depositary Receipts (ADRs) are exchange-traded certificates that rep- resent shares of non-U.S. company securities. They are major financial instruments for investing in foreign companies. Focusing on Asian ADRs in the context of asyn- chronous markets, we present methodologies and results of empirical analysis of their returns. In particular, we dissect their returns into intraday and overnight com- ponents with respect to the U.S. market hours. The return difference between the S&P500 index, traded through the SPDR S&P500 ETF (SPY), and each ADR is found to be a mean-reverting time series, and is fitted to an Ornstein-Uhlenbeck process via maximum-likelihood estimation (MLE). Our empirical observations also lead us to develop and backtest pairs trading strategies to exploit the mean-reverting ADR-SPY spreads. We find consistent positive payoffs when long position in ADR and short position in SPY are simultaneously executed at selected entry and exit levels.

Suggested Citation

  • Tim Leung & Jamie Kang, 2016. "Asynchronous ADRs: Overnight vs Intraday Returns and Trading Strategies," Papers 1611.03110, arXiv.org.
    • Handle: RePEc:arx:papers:1611.03110
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    References listed on IDEAS

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    1. Gupta, Rakesh & Yuan, Tian & Roca, Eduardo, 2016. "Linkages between the ADR market and home country macroeconomic fundamentals: Evidence in the context of the BRICs," International Review of Financial Analysis, Elsevier, vol. 45(C), pages 230-239.
    2. Tim Leung & Xin Li, 2016. "Optimal Mean Reversion Trading:Mathematical Analysis and Practical Applications," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 9839.
    3. Kevin Guo & Tim Leung, 2016. "Understanding the Tracking Errors of Commodity Leveraged ETFs," Papers 1610.09404, arXiv.org.
    4. He, Hui & Yang, Jiawen, 2012. "Day and night returns of Chinese ADRs," Journal of Banking & Finance, Elsevier, vol. 36(10), pages 2795-2803.
    5. Eichler, Stefan & Karmann, Alexander & Maltritz, Dominik, 2009. "The ADR shadow exchange rate as an early warning indicator for currency crises," Journal of Banking & Finance, Elsevier, vol. 33(11), pages 1983-1995, November.
    6. Tian Yuan & Rakesh Gupta & Eduardo Roca, 2015. "Home Country Macroeconomic Fundamentals and the ADR Market: The Case of the BRICs," Discussion Papers in Finance finance:201502, Griffith University, Department of Accounting, Finance and Economics.
    7. Cai, Charlie X. & McGuinness, Paul B. & Zhang, Qi, 2011. "The pricing dynamics of cross-listed securities: The case of Chinese A- and H-shares," Journal of Banking & Finance, Elsevier, vol. 35(8), pages 2123-2136, August.
    8. Tim Leung & Xin Li, 2015. "Optimal Mean Reversion Trading With Transaction Costs And Stop-Loss Exit," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 18(03), pages 1-31.
    9. Athanasios Koulakiotis & Katerina Lyroudi & Nikos Thomaidis & Nicholas Papasyriopoulos, 2010. "The impact of cross‐listings on the UK and the German stock markets," Studies in Economics and Finance, Emerald Group Publishing Limited, vol. 27(1), pages 4-18, March.
    10. Owen Williams, 2016. "Foreign currency exposure within country exchange traded funds," Studies in Economics and Finance, Emerald Group Publishing Limited, vol. 33(2), pages 222-243, June.
    11. Riedel, Christoph & Wagner, Niklas, 2015. "Is risk higher during non-trading periods? The risk trade-off for intraday versus overnight market returns," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 39(C), pages 53-64.
    12. Javier Rodríguez & Wilfredo Toledo, 2015. "Chinese single-listed ADRs: returns and volatility," International Journal of Managerial Finance, Emerald Group Publishing Limited, vol. 11(4), pages 480-502, September.
    13. Lee, Chien-Chiang & Chang, Chi-Hung & Chen, Mei-Ping, 2015. "Industry co-movements of American depository receipts: Evidences from the copula approaches," Economic Modelling, Elsevier, vol. 46(C), pages 301-314.
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    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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