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Digital Library

of the European Council for Modelling and Simulation

 

Title:

Simulating Bankruptcy – The Effects Of Bailouts

Authors:

Marta Fekete, Andras Oliver Nemeth, Janos Szaz, Agnes Vidovics-Dancs

Published in:

 

 

(2019). ECMS 2019 Proceedings Edited by: Mauro Iacono, Francesco Palmieri, Marco Gribaudo, Massimo Ficco, European Council for Modeling and Simulation.

 

DOI: http://doi.org/10.7148/2019

 

ISSN: 2522-2422 (ONLINE)

ISSN: 2522-2414 (PRINT)

ISSN: 2522-2430 (CD-ROM)

 

33rd International ECMS Conference on Modelling and Simulation, Caserta, Italy, June 11th – June 14th, 2019

 

 

Citation format:

Marta Fekete, Andras Oliver Nemeth, Janos Szaz, Agnes Vidovics-Dancs (2019). Simulating Bankruptcy – The Effects Of Bailouts, ECMS 2019 Proceedings Edited by: Mauro Iacono, Francesco Palmieri, Marco Gribaudo, Massimo Ficco European Council for Modeling and Simulation. doi: 10.7148/2019-0091

DOI:

https://doi.org/10.7148/2019-0091

Abstract:

In our paper, we attempt to connect Kornai’s soft budget constraint concept with the methodology used in finan-cial option pricing. To our knowledge, this approach is unprecedented in the literature. Due to the option pricing framework, the effects of bailouts are not described as individual, socio-economic phenomena, but as statistical ones. We show how Markov chains and Monte Carlo simulation can be used in answering some questions aris-ing in connection with hospitals’ bailouts. Our results suggest that in case of more institutions, the effectiveness of the bailouts depends primary on how much the liquid-ity and bankruptcy processes of the hospitals are corre-lated – and not on the division of the bailouts among them.

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