Approaches to forecasting volatility: Models and their performances for emerging equity markets
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Publication:943161
DOI10.1016/j.chaos.2005.08.070zbMath1142.91560OpenAlexW1963910930MaRDI QIDQ943161
Mariacristina Uberti, Rosanna Pezzo
Publication date: 9 September 2008
Published in: Chaos, Solitons and Fractals (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.chaos.2005.08.070
Lua error in Module:PublicationMSCList at line 37: attempt to index local 'msc_result' (a nil value).
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Cites Work
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- ARCH modeling in finance. A review of the theory and empirical evidence
- Stochastic volatility in asset prices. Estimation with simulated maximum likelihood
- Affine processes and applications in finance
- Ranking efficiency for emerging equity markets. II
- Generalized autoregressive conditional heteroscedasticity
- The surprise element: Jumps in interest rates.
- Conditional Heteroskedasticity in Asset Returns: A New Approach
- Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation
- Stochastic Volatility: Likelihood Inference and Comparison with ARCH Models
- A YIELD‐FACTOR MODEL OF INTEREST RATES
- Multivariate Stochastic Variance Models
- Transform Analysis and Asset Pricing for Affine Jump-diffusions
- A Closed-Form Solution for Options with Stochastic Volatility with Applications to Bond and Currency Options
- Stock Price Distributions with Stochastic Volatility: An Analytic Approach
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