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Option pricing with Markov switching stochastic volatility models

Cheng, Yiying - In: Advances in Pacific Basin business, economics, and finance 8 (2020), pp. 53-63

Persistent link: https://www.econbiz.de/10012601380

Regime-switching stochastic volatility model : estimation and calibration to VIX options

Goutte, Stéphane; Ismail, Amine; Pham, Huyên - In: Applied mathematical finance 24 (2017) 1/2, pp. 38-75

Persistent link: https://www.econbiz.de/10011746993

Deep learning volatility : a deep neural network perspective on pricing and calibration in (rough) volatility models

Horvath, Blanka Nora; Muguruza, Aitor; Tomas, Mehdi - In: Quantitative finance 21 (2021) 1, pp. 11-27

Persistent link: https://www.econbiz.de/10012424629

Scientific stochastic volatility models for the European carbon markets : forecasting and extracting conditional moments

Solibakke, Per Bjarte - In: International journal of business 19 (2014) 1, pp. 63-98

Persistent link: https://www.econbiz.de/10010344777

Threshold models in time series analysis : some reflections

Tong, Howell - In: Journal of econometrics 189 (2015) 2, pp. 485-491

Persistent link: https://www.econbiz.de/10011504634

Bayesian analysis of intraday stochastic volatility models of high-frequency stock returns with skew heavy-tailed errors

Nakakita, Makoto; Nakatsuma, Teruo - In: Journal of risk and financial management : JRFM 14 (2021) 4, pp. 1-29

Intraday high-frequency data of stock returns exhibit not only typical characteristics (e.g., volatility clustering and … the leverage effect) but also a cyclical pattern of return volatility that is known as intraday seasonality. In this paper …, we extend the stochastic volatility (SV) model for application with such intraday high-frequency data and develop an …

Persistent link: https://www.econbiz.de/10012520275