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Persistent link: https://www.econbiz.de/10001702991
The paper discusses the impact of the financial crisis on macroeconomics and on research into financial markets. The cornerstones of the economic mainstream were made obsolete by actual developments in recent years, and there are now signs that a fundamental paradigm shift is possible. After the...
Persistent link: https://www.econbiz.de/10009728459
The BoltzmannGibbs distribution is currently widely used in economic modeling. One of the applications is integrated with the DSGE (Dynamic Stochastic General Equilibrium) model. However, a question that arises concerns whether the BoltzmannGibbs distribution can be directly applied, without...
Persistent link: https://www.econbiz.de/10009567075
While DSGE models have been widely used by central banks for policy analysis, they seem to have been ineffective in calibrating the models for anticipating financial crises. To bring DSGE models closer to real situations, some of researchers have revised the traditional DSGE models. One of the...
Persistent link: https://www.econbiz.de/10009231268
While DSGE models have been widely used by central banks for policy analysis, they seem to have been ineffective in calibrating the models for anticipating financial crises. To bring DSGE models closer to real situations, some of researchers have revised the traditional DSGE models. One of the...
Persistent link: https://www.econbiz.de/10013117433
Persistent link: https://www.econbiz.de/10000418186
Persistent link: https://www.econbiz.de/10003837715
The economics profession appears to have been unaware of the long build-up to the current worldwide financial crisis and to have significantly underestimated its dimensions once it started to unfold. In our view, this lack of understanding is due to a misallocation of research efforts in...
Persistent link: https://www.econbiz.de/10003811854
Persistent link: https://www.econbiz.de/10008902460
In this paper, we analyze the network properties of the Italian e-MID data based on overnight loans during the period 1999-2010. We show that the networks appear to be random at the daily level, but contain significant non-random structure for longer aggregation periods. In this sense, the daily...
Persistent link: https://www.econbiz.de/10009570515