Macroeconomic modeling in the context of a stochastic continuous-time environment has become more popular in recent years. Most of these models are based on stochastic differential equations to describe macroeconomic dynamics and stochastic uncertainty is mostly modeled by Brownian motions or...

This theoretical model analyzes the impact of interbank credit market dynamics on the resilience of the financial system. Based on a stochastic model of interbank market credit flows, lending in the interbank market is restricted by the availability of liquidity. Following a shock...

We study the eligibility of corporate bonds as collateral for central bank operations and its effect on interbank and corporate bond markets. While money market functionality increases in the amount of eligible assets, a thorough assessment of collateral policies must also account for endogenous...

The speed of income convergence in Europe remains one of the hot topics in regional economics. Recently Bayesian Model Averaging (BMA) applied to spatial autoregressive models seems to have gained more popularity. BMA averages over some predetermined number of so called top models, ranked by the...

This paper investigates how the ordering of variables affects properties of the time-varying covariance matrix in the Cholesky multivariate stochastic volatility model. It establishes that systematically different dynamic restrictions are imposed when the ratio of volatilities is time-varying....