Pemodelan Data Return Saham PT. Bank Republik Indonesia dengan Self-Exciting Threshold Autoregressive dan Algoritma Genetika
Nonlinear time series model is a time series model applied to data that has the nonlinear pattern. One of the nonlinear time series models is Self-Exciting Threshold Autoregressive (SETAR). The SETAR model is a time series model that data modeling is done by dividing data into multiple regimes, wher...
Guardado en:
Autor principal: | Maulida Nurhidayati |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Department of Mathematics, UIN Sunan Ampel Surabaya
2018
|
Materias: | |
Acceso en línea: | https://doaj.org/article/df86699fa1ff4de8be3d7912ad5aacd6 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
INTERAKSI DINAMIS VARIABEL MAKROEKONOMI TERHADAP RETURN SAHAM DI BURSA EFEK INDONESIA
por: Wulandari Wulandari, et al.
Publicado: (2015) -
Perbandingan Performa Algoritma Koloni Semut Dengan Algoritma Genetika – Tabu Search Dalam Penjadwalan Kuliah
por: Neng Ika Kurniati, et al.
Publicado: (2019) -
Komparasi Risk dan Return Saham dan Saham Syariah
por: Abil Finda Farrukhy
Publicado: (2020) -
THE CONDITIONAL RELATIONSHIP BETWEEN PORTFOLIO BETA AND RETURN: EVIDENCE FROM LATIN AMERICA
por: SANDOVAL A.,EDUARDO, et al.
Publicado: (2004) -
Selecting between autoregressive conditional heteroskedasticity models: An empirical application to the volatility of stock returns in Peru
por: RODRIGUEZ,GABRIEL
Publicado: (2017)