A Fast and Efficient Markov Chain Monte Carlo Method for Market Microstructure Model
The non-linear market microstructure (MM) model for financial time series modeling is a flexible stochastic volatility model with demand surplus and market liquidity. The estimation of the model is difficult, since the unobservable surplus demand is a time-varying stochastic variable in the return e...
Guardado en:
Autores principales: | Sun Yapeng, Peng Hui, Xie Wenbiao |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Hindawi Limited
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/8e2176ccfc2041a78ce45574ec6054ce |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Penentuan Harga Opsi Asia dengan Metode Monte Carlo
por: Surya Amami Pramuditya
Publicado: (2017) -
Study on Performance Evaluation of Service Supply Chain by Extension Method
por: Jun Cheng, et al.
Publicado: (2021) -
On the inference of complex phylogenetic networks by Markov Chain Monte-Carlo.
por: Charles-Elie Rabier, et al.
Publicado: (2021) -
Monte Carlo Algorithms for the Extracting of Electrical Capacitance
por: Andrei Kuznetsov, et al.
Publicado: (2021) -
The Cross-Correlations between Foreign Flows in Chinese A-Share Markets and Uncertainties in Home Markets
por: Tao Bing, et al.
Publicado: (2021)