Asynchronous ADRs: Overnight vs Intraday Returns and Trading Strategies
Tim Leung, Jamie Kang

TL;DR
This paper analyzes the overnight and intraday returns of Asian ADRs, models their mean-reverting spreads with the Ornstein-Uhlenbeck process, and develops profitable pairs trading strategies exploiting these dynamics.
Contribution
It introduces a novel empirical analysis of ADR returns, models their spreads as mean-reverting processes, and designs effective pairs trading strategies based on these insights.
Findings
ADR-SPY spread is mean-reverting and fits an Ornstein-Uhlenbeck process.
Pairs trading strategies yield consistent positive returns.
Intraday and overnight return components differ significantly.
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…
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Taxonomy
TopicsFinancial Markets and Investment Strategies · Financial Risk and Volatility Modeling · Complex Systems and Time Series Analysis
