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...

We investigate the trading of corporate bonds (c-bonds) by an open limit order book (LOB) mechanism. To do so, we use the case of the Tel Aviv Stock Exchange (TASE) as a laboratory, in which both stocks and c-bonds are traded by an LOB mechanism. Contrary to the OTC market in the US, the TASE...

We study the consequences of high-frequency trading (HFT) — and potential policy responses — via the tradeoff between liquidity and information production. Faster speeds facilitate HFT with consequences for this tradeoff: information production diminishes because informed traders have less...

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...