This paper investigates the effects of home country banking regulations on the performance of foreign banks in Luxembourg's financial center. We control for the main regulatory indicators, such as capital requirements, private monitoring, official disciplinary power and restrictions on bank...

We describe characteristics of various risk measures (Value-at-Risk, Expected Shortfall, etc.) that are used to analyze and quantify the tail risk exposure, and discuss their relative strengths and weaknesses. Emphasis is placed on presenting and comparing methodologies to compute and backtest...

Economists have long debated the relationships between market structure of banking sector and the profitability. General consensus asserts that more concentrated market is associated with higher profitability: banks with higher market share generally achieve higher profits. This empirical...

We use an extensive data set of bilateral exposures on credit default swap (CDS) to estimate the impact on collateral demand of new margin and clearing practices and regulations. We decompose collateral demand for both customers and dealers into several key components, including the “velocity...

This paper proposes some improvements to advanced measurement approach (AMA) to modelling operational losses and applies this approach to US business losses. The AMA involves, among others, modelling a loss severity distribution and estimating its Expected Loss and the 99.9% operational...

This document contains supporting materials for the article "How Rigged Are Stock Markets? Evidence from Microsecond Timestamps" by Robert P. Bartlett, III and Justin McCrary.The paper to which this Appendix applies is available at the following URL: "https://ssrn.com/abstract=2812123"...

Using new data from the two U.S. securities information processors (SIPs) between August 6, 2015 and June 30, 2016, we examine claims that high-frequency trading (HFT) firms use direct feeds to exploit traders who rely on SIP prices. Across $3.7 trillion of trades, the SIPs report quote updates...

The class of generalized autoregressive conditional heteroscedastic (GARCH) models has proved particularly valuable in modelling time series with time varying volatility. These include financial data, which can be particularly heavy tailed.This paper investigates the time-series behavior of...

We use an extensive data set of bilateral exposures on credit default swap (CDS) to estimate the impact on collateral demand of new margin and clearing practices and regulations. We decompose collateral demand for both customers and dealers into several key components, including the “velocity...

Recent studies have underscored the need for market participants to develop reliable methods of measuring risk. One increasingly popular technique is the use of "value-at-risk" models, which convey estimates of market risk for an entire portfolio in one number. The author explores how well these...