Nonparametric NAR-ARCH modelling of stock prices by the kernel methodology
| Year of publication: |
2018
|
|---|---|
| Authors: | Chikhi, Mohamed ; Ben Dob, Ali |
| Published in: |
Journal of Economics and Financial Analysis. - Ashgabat : [Verlag nicht ermittelbar], ISSN 2521-6619, ZDB-ID 2913606-4. - Vol. 2.2018, 2, p. 105-120
|
| Subject: | Final Prediction Error | Kernel | Bandwidth | Conditional Heteroscedastic Functional Autoregressive Process | Orange Stock Price | Forecasts | Börsenkurs | Share price | Prognoseverfahren | Forecasting model | Schätztheorie | Estimation theory | Nichtparametrisches Verfahren | Nonparametric statistics | Zeitreihenanalyse | Time series analysis | ARCH-Modell | ARCH model | Autokorrelation | Autocorrelation | Prognose | Forecast | Aktienindex | Stock index |
-
Conditional variance forecasts for long-term stock returns : a preprint
Mammen, Enno, (2019)
-
An IID test for functional time series with applications to high-frequency VIX index data
Huang, Xin, (2025)
-
A latent factor model for forecasting realized variances
Calzolari, Giorgio, (2021)
- More ...
-
Options pricing by Monte Carlo simulation, binomial tree and BMS model : a comparative study
Ben Dob, Ali, (2019)
-
Bendima, Nesrine, (2019)
-
Douma, Hasnia, (2019)
- More ...