Stochastic Volatility and Early Warning Indicator

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We extend Merton's framework by adopting stochastic volatility to propose an early warning indicator for banks' credit risk. Bayesian inference is employed to estimate the parameters of Heston model. We provide empirical evidence and demonstrate the comparative strength of our risk measure over others.
Publisher
Springer International Publishing
Issue Date
2020-06
Language
English
Citation

20th International Conference on Computational Science, ICCS 2020, pp.413 - 421

ISSN
0302-9743
DOI
10.1007/978-3-030-50371-0_30
URI
http://hdl.handle.net/10203/312141
Appears in Collection
IE-Conference Papers(학술회의논문)
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