Semiparametric GARCH models with long memory applied to Value at Risk and Expected Shortfall
S. Letmathe, Y. Feng, A. Uhde, Journal of Risk 25 (n.d.).
LibreCat: /record/35992

Semiparametric GARCH models with long memory applied to Value at Risk and Expected Shortfall
S. Letmathe, Y. Feng, A. Uhde, Journal of Risk (n.d.).
LibreCat: /record/29317
DOI: 10.21314/JOR.2022.044

The Shanghai-Hong Kong Stock Connect: An Application of the Semi-CGARCH and Semi-EGARCH
C. Peitz, Y. Feng, B.M. Gilroy, N. Stöckmann, Asian Economic and Financial Review 10 (2020) 427–438.
LibreCat: /record/16873

Further Development of the Double Conditional Smoothing for Nonparametric Surfaces Under a Lattice Spatial Model
B. Schäfer, Y. Feng, in: Book of Abstracts, 2018, p. 7.
LibreCat: /record/4665

The Non-Gaussian ESEMIFAR Model
Y. Feng, S. Letmathe, (2018) 7.
LibreCat: /record/4667

Forecasting Non-Negative Financial Processes Using Different Parametric and Semi-Parametric ACD-Type Models
S. Forstinger, Y. Feng, C. Peitz, in: Book of Abstracts, 2018, p. 17.
LibreCat: /record/4668

A Box-Cox Semiparametric Multiplicative Error Model
X. Zhang, Y. Feng, in: Book of Abstracts, 2018, p. 19.
LibreCat: /record/4669

A general class of SemiGARCH models based on the Box-Cox transformation
X. Zhang, Y. Feng, C. Peitz, A General Class of SemiGARCH Models Based on the Box-Cox Transformation, 2017.
LibreCat: /record/4633