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State-space stochastic volatility models: A review of estimation algorithms

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Publication:4258939
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DOI<link itemprop=identifier href="https://doi.org/10.1002/(SICI)1099-0747(199612)12:4<265::AID-ASM288>3.0.CO;2-N" /><265::AID-ASM288>3.0.CO;2-N 10.1002/(SICI)1099-0747(199612)12:4<265::AID-ASM288>3.0.CO;2-NzbMath0924.62107OpenAlexW2046732159MaRDI QIDQ4258939

Enrico Capobianco

Publication date: 15 September 1999

Full work available at URL: https://doi.org/10.1002/(sici)1099-0747(199612)12:4<265::aid-asm288>3.0.co;2-n


zbMATH Keywords

stochastic volatilityestimation algorithmssimulation techniquesgeneralized bilinear stochastic volatility processeslinear and nonlinear state space representations


Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Applications of statistics to actuarial sciences and financial mathematics (62P05)


Related Items (2)

Stochastic volatility models for exchange rates and their estimation using quasi-maximum-likelihood methods: an application to the South African Rand ⋮ Dynamic paired comparison models with stochastic variances






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