We explore whether central bank intervention improves liquidity in the interbank market during the current subprime crisis with unique trade and quote data from the e-MID, the only regulated electronic interbank market in the world. Central bank intervention consistently creates greater...

We apply network analysis to trace patterns of information transmission in an electronic limit order market. If market orders or large executable limit orders are submitted by informed traders, then resulting star-shaped or diamond-shaped patterns ndash; or trading networks ndash; should be...

Trading by commodity index traders (CITs) has become an important aspect of financial markets over the past 10 years. We develop an equilibrium model of trader behavior that relates uninformed CIT trading to futures prices. A key implication of the model is that CIT trading reduces the cost of...

This paper develops a model which is able to forecast exchange rate turmoil. Our starting point relies on the empirical evidence that exchange rate volatility is not constant. In fact, the modeling strategy adopted refers to the vast literature of the GARCH class of models, where the variance...

This paper analyzes exchange rate turmoil with a Markov switching GARCH model. We distinguish between two different regimes in both the conditional mean and the conditional variance: "ordinary" regime, characterized by low exchange rate changes and low volatility, and "turbulent" regime,...

We build a new asset pricing framework to study the effects of aggregate illiquidity on asset prices, volatilities and correlations. In our framework the Black-Scholes economy is obtained as the limiting case of perfectly liquid markets. The model is consistent with empirical studies on the...