@ARTICLE{26543120_105187792_2013, 
	author = {Alexander Smirnov}, 
	keywords = {, financial crises, credit meltdown, complex system, critical point, debt monetizationfinancial bubble},
	title = {A Simple Model of Crises Prediction},
	journal = {HSE Economic Journal },
	year = {2013},
	volume = {17},
	number = {2},
	pages = {191-226},
	url = {https://ej.hse.ru/en/2013-17-2/105187792.html},
	publisher = {},
	abstract = {Financial crises were studied as disturbances of a debt monetization process. A simple model was proposed for the critical values prediction of several financial indicators. The forecast of these values was made on the basis of the IMF global financial stability statistics. The model was used to investigate the three types of financial interrelations. The first embraced processes of a debt monetization, economic growth and leverage, all these processes being modeled as the «Malthusian» equations. Then the group of distributions of a random number of crisis occurrences in the last 105 years was studied. The expected value of a sample number of crises was used to parameterize Pareto distributions of financial indicators. Their critical values being defined for the equal probabilities of system’s collapse and survival, would have been reached approximately by the year 2015. Hence, contrary to the positive trends being quite noticeable in the post-crisis period, the global financial system seems to have a great chance to be drowned under the «second wave» of a crisis.},
	annote = {Financial crises were studied as disturbances of a debt monetization process. A simple model was proposed for the critical values prediction of several financial indicators. The forecast of these values was made on the basis of the IMF global financial stability statistics. The model was used to investigate the three types of financial interrelations. The first embraced processes of a debt monetization, economic growth and leverage, all these processes being modeled as the «Malthusian» equations. Then the group of distributions of a random number of crisis occurrences in the last 105 years was studied. The expected value of a sample number of crises was used to parameterize Pareto distributions of financial indicators. Their critical values being defined for the equal probabilities of system’s collapse and survival, would have been reached approximately by the year 2015. Hence, contrary to the positive trends being quite noticeable in the post-crisis period, the global financial system seems to have a great chance to be drowned under the «second wave» of a crisis.}
}