Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/239370 
Year of Publication: 
2020
Citation: 
[Journal:] Journal of Risk and Financial Management [ISSN:] 1911-8074 [Volume:] 13 [Issue:] 11 [Publisher:] MDPI [Place:] Basel [Year:] 2020 [Pages:] 1-2
Publisher: 
MDPI, Basel
Abstract: 
The computational revolution in simulation techniques has shown to become a key ingredient in the field of Bayesian econometrics and opened new possibilities to study complex economic and financial phenomena. Applications include risk measurement, forecasting, assessment of policy effectiveness in macro, finance, marketing and monetary economics.
Subjects: 
Bayesian econometrics
forecasting
macroeconomic and financial applications
MCMC methods
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article

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