The paper reviews the concepts of system dynamics and its applications to the simulation modeling of financial institutions daily activity. While widely applicable, the approach is of a particular interest in transitional and developing economies. The hybrid method of banking business processes...

The Reversible Jump Markov Chain Monte Carlo (RJMCMC) method can enhance Bayesian DSGE estimation by sampling from a posterior distribution spanning potentially nonnested models with parameter spaces of different dimensionality. We use the method to jointly sample from an ARMA process of unknown...

In this study a panel data analysis was made for financial stability indicators in 7 European Union countries over 2006-2011 (Bulgaria, Czech Republic, Croatia, Poland, Slovenia, Hungary, Romania, Austria, France, Italy, Greece and England. The loam quality is explained by the coverage of...

One of the main implications of the basic target zone model developed by Krugman (1991) is that there is a trade-off between exchange rate volatility and interest rate differential volatility. Using an M-GARCH model we find evidence that such a trade-off existed, prior to the introduction of the...

This paper aims to identify the likely source(s) of value that cryptocurrencies exhibit in the marketplace using cross sectional empirical data examining 66 of the most used such 'coins'. A regression model was estimated that points to three main drivers of cryptocurrency value: the aggregate...

Recently, Nowotarski et al. (2013) have found that wavelet-based models for the long-term seasonal component (LTSC) are not only better in extracting the LTSC from a series of spot electricity prices but also significantly more accurate in terms of forecasting these prices up to a year ahead...

This study presents and empirically tests a simple framework that examines the effects of market liquidity (the ease with which stocks are traded) and funding liquidity (the ease with which market participants can obtain funding) on stock market bubbles. Three key findings emerge from this...

This paper proposes a new class of dynamic copula models for daily asset returns that exploits information from high frequency (intra-daily) data. We augment the generalized autoregressive score (GAS) model of Creal et al. (2013) with high frequency measures such as realized correlation to...

In this paper, we discuss the structure of a forward-looking model of the Japanese economy, which has been jointly developed by the Institute of Economic Research, Kyoto University, and the Policy Research Institute, Ministry of Finance, and use the model to simulate policies for fiscal...

The leading strategy for analyzing unstructured data uses two steps. First, latent variables of economic interest are estimated with an upstream information retrieval model. Second, the estimates are treated as “data” in a downstream econometric model. We establish theoretical arguments for...