This paper shows that bank competition has an intrinsically ambiguous effect on capital accumulation and economic growth. We further demonstrate that banking market structure can be responsible for the emergence of development traps in economies that would otherwise be characterized by unique...

We investigate the risks and opportunities to the mandates of central banks arising from fintech developments. Fintech may affect the different areas of responsibility of central banks - mainly monetary policy and financial stability - by changing money demand and by changing the industrial...

We study settlement fails for trades in the Government of Canada bond market. We find that settlement fails do not occur independently. Using a novel and comprehensive dataset, we examine three drivers of fails. First, we find that fails are more likely following the release of surprise...

On May 11-12, 2011, SUERF, the Belgian Financial Forum, the Brussels Finance Institute and the Centre for European Policy Studies (CEPS) jointly organised the 29th SUERF Colloquium New paradigms in money and finance? The papers included in this SUERF Study are based on contributions to the...

Dealer networks provide essential intermediation services in over-the-counter markets. We document the response of dealer networks to the arrival of new public information. We find that after public news releases, dealer networks become more complex and channel larger flows of securities between...

We show a significant loss in U.S. Treasury market functionality when intensive use of dealer balance sheets is needed to intermediate bond markets, as in March 2020. Although yield volatility explains most of the variation in Treasury market liquidity over time, when dealer balance sheet...

We formulate a bivariate stochastic volatility jump-diffusion model with correlated jumps and volatilities. An MCMC Metropolis-Hastings sampling algorithm is proposed to estimate the model's parameters and latent state variables (jumps and stochastic volatilities) given observed returns. The...

Most traditional Value at Risk models neglect market liquidity risk and hence only consider the market price risk (i.e. risk associated with holding a certain position). In order to fully capture the market risk associated to holding and trading a position, we first define market liquidity risk,...

Value-at-risk (VaR) is a useful risk measure broadly used by financial institutions all over the world. VaR has been extensively used to measure systematic risk exposure in developed markets like of the US, Europe and Asia. This paper analyzes the accuracy of VaR measure for Pakistan's emerging...

Financial contagion and systemic risk measures are commonly derived from conditional quantiles by using imposed model assumptions such as a linear parametrization. In this paper, we provide model free measures for contagion and systemic risk which are independent of the specifcation of...