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An empirical application of a stochastic volatility model with GH skew Student's t-distribution to the volatility of Latin-American stock returns

Lengua Lafosse, Patricia; Rodriguez, Gabriel - In: The quarterly review of economics and finance : journal … 69 (2018), pp. 155-173

Persistent link: https://www.econbiz.de/10012035007

Volatility modeling and Value-at-Risk (VaR) forecasting of emerging stock markets in the presence of long memory, asymmetry, and skewed heavy tails

Gencer, Hatice Gaye; Demiralay, Sercan - In: Emerging markets finance & trade : a journal of the … 52 (2016) 1/3, pp. 639-657

Persistent link: https://www.econbiz.de/10011562539

A comparison of tail behaviour of stock market returns

Echaust, Krzysztof - In: Folia oeconomica Stetinensia : FOS 14 (2014) 1, pp. 22-34

Persistent link: https://www.econbiz.de/10010518936

Value at risk (VaR) analysis for fat tails and long memory in returns

Günay, Samet - In: Eurasian economic review : a journal in applied … 7 (2017) 2, pp. 215-230

Persistent link: https://www.econbiz.de/10011684346

Point and density prediction of intra-day volume using Bayesian linear ACV models : evidence from the Polish stock market

Huptas, Roman - In: Quantitative finance 18 (2018) 5, pp. 749-760

Persistent link: https://www.econbiz.de/10011907915

Modeling dynamic volatilities and correlations under skewness and fat tails

Zhang, Xin; Creal, Drew; Koopman, Siem Jan; Lucas, André - 2011

We propose a new model for dynamic volatilities and correlations of skewed and heavy-tailed data. Our model endows the Generalized Hyperbolic distribution with time-varying parameters driven by the score of the observation density function. The key novelty in our approach is the fact that the...

Persistent link: https://www.econbiz.de/10011386468