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  1. 61

    Hybrid of ARIMA-GARCH modeling in rainfall time series by Yusof, Fadhilah, Lawal Kane, Ibrahim, Yusop, Zulkifli

    Published 2013
    “…The results of these auxiliary tests show clear evidence to reject the null hypothesis of no ARCH effect. Hence indicates that GARCH modeling is necessary. Therefore the composite ARIMA-GARCH model captures the dynamics of the daily rainfall series in study areas more precisely. …”
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    Article
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    GARCH models and distributions comparison for nonlinear time series with volatilities by Nur Haizum, Abd Rahman, Jia, Goh Hui, Hani Syahida, Zulkafli

    Published 2023
    “…The models considered are the standard GARCH, Integrated GARCH (IGARCH), Exponential GARCH (EGARCH), and Golsten, Jagannathan, and Runkle GARCH (GJR-GARCH), each with normal distribution, Student’s t-distribution, and Generalized Error Distribution (GED). …”
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    Article
  7. 67

    The Performance of Hybrid ARIMA-GARCH Modeling in Forecasting Gold Price by Siti Roslindar, Yaziz, Noor Azlinna, Azizan, Roslinazairimah, Zakaria, Maizah Hura, Ahmad

    Published 2013
    “…The findings suggest that the potential combination of powerful and flexibility of ARIMA and the strength of GARCH models in handling volatility and risk in the data series as well as to overcome the linear limitation in the ARIMA models made the hybridization of ARIMA-GARCH model as a new promising approach in modeling and forecasting gold price.…”
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    Conference or Workshop Item
  8. 68

    Forecasting Portfolio Risk Estimation by Using Garch and Var Methods by Noor Azlinna, Azizan, Lee, Chia Kuang, Zeenat, Ahmed

    Published 2012
    “…Motivates from this, we conducted an analysis to compare the effectiveness of VaR analysis and GARCH method in forecasting risk estimation. Risk manager can used the best methods in reducing their customers risk volatility and rank the risk level.…”
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    Article
  9. 69

    Improving the option pricing performance of GARCH models in inefficient market by Noureddine Lahouel, Slaheddine Hellara

    Published 2020-04-01
    “…It is, therefore, useful, before proceeding to apply the standard risk-neutral approach, to check the efficiency assumption. New modified GARCH processes were used to model the dynamics of the asset returns in the option pricing framework. …”
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    Article
  10. 70

    Estimating the Volatility of Cocoa Price Return with ARCH and GARCH Models by Lya Aklimawati, Teguh Wahyudi

    Published 2013-08-01
    “…Key words: Volatility, price, cocoa, GARCH, risk, futures trading…”
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    Article
  11. 71

    Asymmetric GARCH Value-at-Risk over MSCI in Financial Crisis by Han Ching Huang, Yong-Chern Su, Jen-Tien Tsui

    Published 2015-04-01
    “… This paper uses four asymmetric GARCH models, which are GJR-GARCH, NA-GARCH, T-GARCH, and AV-GARCH to compare their performance on VaR forecasting to the symmetric GARCH model. …”
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    Article
  12. 72

    Forecasting Performance of Asymmetric GARCH Stock Market Volatility Models by Hojin Lee

    Published 2009-12-01
    Subjects: “…Asymmetric GARCH Effect…”
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    Article
  13. 73
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    Asymmetric GARCH Value-at-Risk over MSCI in Financial Crisis by Han Ching Huang, Yong-Chern Su, Jen-Tien Tsui

    Published 2015-04-01
    “… This paper uses four asymmetric GARCH models, which are GJR-GARCH, NA-GARCH, T-GARCH, and AV-GARCH to compare their performance on VaR forecasting to the symmetric GARCH model. …”
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    Article
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    Use of tempered stable distributions in GARCH(1, 1) models by Uladzimir S. Tserakh

    Published 2018-05-01
    Subjects: “…garch model…”
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    Article
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    Aplikasi GARCH dalam Mengatasi Volatilitas Pada Data Keuangan by , Hartati, Imelda Saluza

    Published 2017-12-01
    “…The results showed that the GARCH model is best suited to see volatility in the financial data.…”
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    Article
  19. 79

    Asymmetric GARCH Value-at-Risk over MSCI in Financial Crisis by Han Ching Huang, Yong-Chern Su, Jen-Tien Tsui

    Published 2015-04-01
    “… This paper uses four asymmetric GARCH models, which are GJR-GARCH, NA-GARCH, T-GARCH, and AV-GARCH to compare their performance on VaR forecasting to the symmetric GARCH model. …”
    Get full text
    Article
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