Modeling Saudi stock index returns and volatility: a dual approach using GARCH and neural networks
The financial markets are the drivers of economic growth as they organize savings, bring in foreign investment, and they efficiently allocate resources.
Sukainah AL-Besher, Dania AL-Najjar
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Estimated Value-at-Risk Using the ARIMA-GJR-GARCH Model on BBNI Stock
Stocks are investment instruments that are much in demand by investors as a basis in financial storage. Return and risk are the most important things in investing. Return is a complete summary of investment and the return series is easier to handle than the price series. The movement of risk of loss is obtained from stock investments with profits.
Rizki Apriva Hidayana +2 more
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Estimating and Forecasting Volatility of Financial Time Series in Pakistan with GARCH-type Models
In this paper we compare the performance of different GARCH models such as GARCH, EGARCH, GJR and APARCH models, to characterize and forecast financial time series volatility in Pakistan.
G.R. Pasha, Tahira Qasim, Muhammad Aslam
doaj
South African inflation modelling using bootstrapped long short-term memory methods. [PDF]
Kubheka S.
europepmc +1 more source
Mixed-frequency quantile regressions to forecast value-at-risk and expected shortfall. [PDF]
Candila V, Gallo GM, Petrella L.
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Symmetric and asymmetric GARCH estimations of the impact of oil price uncertainty on output growth: evidence from the G7. [PDF]
Alao RO +5 more
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The GJR-GARCH and EGARCH option pricing models which incorporate the Piterbarg methodology [PDF]
Sven T. von Boetticher +1 more
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Asymmetric Behavior of Inflation Uncertainty and Friedman-Ball Hypothesis: Evidence from Pakistan
This paper is a first attempt to measure and analyze inflation uncertainty in Pakistan. It makes several contributions to the literature. In the first stage, using quarterly data from 1976:01 to 2008:02, we model inflation uncertainty as a time-varying ...
Syed Kumail Abbas Rizvi, Bushra Naqvi
doaj
Traffic Volatility Forecasting Using an Omnibus Family GARCH Modeling Framework. [PDF]
Ou J, Huang X, Zhou Y, Zhou Z, Nie Q.
europepmc +1 more source

