AI summary · arXiv: 1611.03110v1 · q-fin.ST

Asynchronous ADRs: Overnight vs Intraday Returns and Trading Strategies

Tim Leung, Jamie Kang

Original paper · DOI Submitted to arXiv on 29 Oct. 2016 License: NONEXCLUSIVE-DISTRIB 1.0

The essentials

  • American Depositary Receipts (ADRs) are exchange-traded certificates representing shares of non-U.S. company securities
  • ADRs serve as significant financial instruments for investing in foreign companies
  • Tim Leung and Jamie Kang study Asian ADRs within asynchronous markets, focusing on empirical analysis of returns
  • Researchers examine intraday and overnight components of returns in relation to U.S. market hours
  • Return differentials between each ADR and the S&P500 index follow a mean-reverting time series pattern
  • Maximum likelihood estimation (MLE) is used to fit data to an Ornstein-Uhlenbeck process to quantify behavior
  • Development and backtesting of pairs trading strategies aim at capitalizing on mean-reverting spreads between ADRs and SPY
  • Positive payoffs consistently found when executing long positions in ADRs alongside short positions in SPY at selected entry and exit levels
  • Study sheds light on dynamics of Asian ADR returns within asynchronous markets, offering insights into potential profitable trading strategies for investors interested in international markets through ADR investments

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AI-generated keywords: American Depositary Receipts (ADRs) Tim Leung Jamie Kang empirical analysis mean-reverting patterns

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  • Original abstract
American Depositary Receipts (ADRs) are exchange-traded certificates that represent shares of non-U.S. company securities and serve as significant financial instruments for investing in foreign companies. In their study on Asian ADRs within asynchronous markets, Tim Leung and Jamie Kang present methodologies and findings from empirical analysis regarding their returns. The researchers specifically examine the intraday and overnight components of returns associated with Asian ADRs in relation to U.S. market hours. They observe that the return differential between each ADR and the S&P500 index, traded through the SPDR S&P500 ETF (SPY), follows a mean-reverting time series pattern. To quantify this behavior, they employ maximum-likelihood estimation (MLE) to fit the data to an Ornstein-Uhlenbeck process. Moreover, Leung and Kang's research leads them to develop and backtest pairs trading strategies aimed at capitalizing on the mean-reverting spreads between ADRs and SPY. Through their analysis, they consistently find positive payoffs when executing long positions in ADRs alongside short positions in SPY at selected entry and exit levels. Overall, this study sheds light on the dynamics of Asian ADR returns within asynchronous markets, offering insights into potential trading strategies that leverage mean-reverting patterns for profitable outcomes. The findings contribute valuable information for investors interested in navigating international markets through ADR investments.

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