A default in the Automated Clearing Settlement System (ACSS) occurs when a Direct Clearer is unable to settle its final obligation. In August 2012, the Canadian Payments Association amended the ACSS by-law and rules to repeal the unwinding provisions from the ACSS default framework. Without...

This paper studies the reactions of commercial banks to the changes in monetary policy tools in mid-1994, when the Federal Reserve Bank altered its policy implicitly targeting the Federal Funds Rate (FFR). Prior to 1994, the FFR had affected, with a considerable lag, the Prime Rate. However,...

In this study, we test the hypothesis that psychological barriers exist in 5 European Equity Market indices [ATX, CAC, DAX, FTSE, SMI]. We employ both a traditional methodology that assumes a uniform distribution of M-Values and a modified approach that accounts for the fact that the digits of...

We compare several models that forecast ex-ante Bitcoin one-day Value-at-Risk (VaR), starting from the simplest ones like Parametric Normal and Historical Simulation and arriving at Historical Filtered Bootstrap and Extreme Value Theory Historical Filtered Bootstrap. We also consider Gaussian...

This paper uses a stylized simulation model to assess the potential impact of transition risk on banks' balance sheets and establishes a basis for calibrating relevant macro-prudential instruments. We show that even in the short run, a fire-sale mechanism could amplify an initially contained...

The present paper describes the main findings of an extensive quantitative exercise (based on Bayesian Graphical SVAR) aimed at quantifying the correlated risk and the effects, on the most important economic sectors, of the Covid-19 pandemic and of a list of actions undertaken at the EU level....

Employing a resampling-based Monte Carlo simulation developed in Carey (2000, 1998) and Majnoni, Miller and Powell (2004), in this paper we estimate conditional and unconditional loss distributions for loan portfolios of argentine banks in the period 1999-2004, controlling by type of borrower...

This paper analyzes the higher-order properties of nested pseudo-likelihood (NPL) estimators and their practical implementation for parametric discrete Markov decision models in which the probability distribution is defined as a fixed point. We propose a new NPL estimator that can achieve...

Sensitivity analysis studies how the variation in the numerical output of a model can be quantitatively apportioned to different sources of variation in basic input parameters. Thus, it serves to examine the robustness of numerical results with respect to input parameters, which is a...

In Monte Carlo simulation, Latin hypercube sampling (LHS) [McKay et al. (1979)] is a well-known variance reduction technique for vectors of independent random variables. The method presented here, Latin hypercube sampling with dependence (LHSD), extends LHS to vectors of dependent random...