In this paper we examine the effectiveness of modeling a paris-traded ETF portfolio as an Ornstein-Uhlenbeck process. Using ETF pairs that have similar references indexes, we apply maximum likelihood estimation to historical data in order to optimize trading signals for two strategies. Using...

One rationale for the regulation of algorithmic and high-frequency trading is the perception that algorithms are prone to overreacting to market events, for example by producing unanticipated interaction effects that exacerbate volatility and disrupt efficient price formation. This articles...