In this study we combine clustering techniques with a moving window algorithm in order to filter financial market data outliers. We apply the algorithm to a set of financial market data which consists of 25 series selected from a larger dataset using a cluster analysis technique taking into...

We propose a new model of trading in OTC markets. Dealers accumulate inventories by trading with end-investors and trade among each other to reduce their inventory holding costs. Core dealers use a more efficient trading technology than peripheral dealers, who are heterogeneously connected to...

Banks typically determine their capital levels by separately analysing credit and interest rate risk, but the interaction between the two is significant and potentially complex. We develop an integrated economic capital model for a banking book where all exposures are held to maturity. Our...

Banks increasingly use short-term wholesale funds to supplement traditional retail deposits. Existing literature mainly points to the "bright side" of wholesale funding: sophisticated financiers can monitor banks, disciplining bad but refinancing good ones. This paper models a "dark side" of...

How do banks set their target capital ratio? How do they adjust to reach it? This paper answers these questions using an original dataset of capital ratio targets directly announced to investors by European banks, materially improving data quality compared to usual estimated implicit target. It...

This paper studies how banks' balance sheets and funding costs interact in the transmission of monetary-policy rates to banks' credit supply to firms. To do so, we use credit-registry data from Germany and Portugal together with the European Central Bank's policy-rate cuts in mid-2014. The...