Time is valuable, particularly in stressed markets. As central counterparties (CCPs) have become systemically important, we need to understand the dynamics of their exposure towards clearing members at high frequencies. We track such exposure and decompose it which leads to the following...

Time is valuable, particularly in stressed markets. As central counterparties (CCPs) have become systemically important, we need to understand the dynamics of their exposure towards clearing members at high frequencies. We track such exposure and decompose it, yielding the following insights....

Counterparty risk could hamper trade and worsen a financial crisis. A central clearing party (CCP) insures traders against counterparty default and thus benefits trade. Default of the CCP however becomes a new systemic risk. CCP risk management does not account for risk associated with crowded...

If all intermediaries enter the same market-making “bet” on the same side, fast-moving capital gets tied up in a crowded trade. This creates systemic risk for a central clearing party (CCP) since multiple traders might default when the bet turns extremely sour. The CCP then has to unwind the...

We study sovereign yield dynamics and order flow in the largest euro-area treasury markets. We exploit unique transaction data to explain daily yield changes in the ten-year government bonds of Italy, France, Belgium, and Germany. We use a state space model to decompose these changes into (i) a...

This discussion paper led to an article in the <I>Journal of Financial Markets </I> (2013). Volume 16, pages 571-603.<P> This paper links the recent fragmentation in equity trading to high frequency traders (HFTs). It shows how the success of a new market, Chi-X, critically depended on the participation...</p></i>

This paper links the recent fragmentation in equity trading to high frequency traders (HFTs). It shows how the success of a new market, Chi-X, critically depended on the participation of a large HFT who acts as a modern market-maker. The HFT, in turn, benefits from low fees in the entrant...

This paper characterizes the trading strategy of a large high frequency trader (HFT). The HFT incurs a loss on its inventory but earns a profit on the bid–ask spread. Sharpe ratio calculations show that performance is very sensitive to cost of capital assumptions. The HFT employs a...

Electronic limit order books are ubiquitous in markets today. However, theoretical models for limit order markets fail to explain the real world data well. Sandas (2001) tests the classic Glosten (1994) model for order book equilibrium and rejects it. We reconfirm this result for one of the...

Algorithmic trading has sharply increased over the past decade. Equity market liquidity has improved as well. Are the two trends related? For a recent five-year panel of New York Stock Exchange (NYSE) stocks, we use a normalized measure of electronic message traffic (order submissions,...