2021
DOI: 10.1017/asb.2021.21
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On Complex Economic Scenario Generators: Is Less More?

Abstract: This article proposes a complex economic scenario generator that nests versions of well-known actuarial frameworks. The generator estimation relies on the Bayesian paradigm and accounts for both model and parameter uncertainty via Markov chain Monte Carlo methods. So, to the question is less more?, we answer maybe, but it depends on your criteria. From an in-sample fit perspective, on the one hand, a complex economic scenario generator seems better. From the conservatism, forecasting and coverage perspectives,… Show more

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Cited by 2 publications
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“…Specifically, in 2005, Ahlgrim, D'Arcy, and Gorvett proposed a model similar to Wilkie's but allowed for regime-switching dynamics for stock index returns to capture bull and bear markets. More recently, Bégin (2021) introduced a new cascade-type ESG based on the monetary policy, which is modeled via observable regime-switching dynamics. The model also considers the changing nature of the variance via generalized autoregressive conditional heteroskedasticity (GARCH) models.…”
Section: Economic and Financial Frameworkmentioning
confidence: 99%
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“…Specifically, in 2005, Ahlgrim, D'Arcy, and Gorvett proposed a model similar to Wilkie's but allowed for regime-switching dynamics for stock index returns to capture bull and bear markets. More recently, Bégin (2021) introduced a new cascade-type ESG based on the monetary policy, which is modeled via observable regime-switching dynamics. The model also considers the changing nature of the variance via generalized autoregressive conditional heteroskedasticity (GARCH) models.…”
Section: Economic and Financial Frameworkmentioning
confidence: 99%
“…The model also considers the changing nature of the variance via generalized autoregressive conditional heteroskedasticity (GARCH) models. In the present article, we rely on a modified version of Bégin's (2021) model. Specifically:…”
Section: Economic and Financial Frameworkmentioning
confidence: 99%
See 2 more Smart Citations