Showing 101 - 120 results of 170 for search '"Garches"', query time: 0.06s Refine Results
  1. 101

    Testing financial time series for autocorrelation: Robust Tests by Nelson Omar Muriel Torrero

    Published 2020-01-01
    “…El poder de las pruebas se estudia para alternativas MA y GARCH en la media. Las pruebas exhiben un tamaño muestral apropiado y se comprueba que son más poderosas que la prueba robusta de Box-Pierce para alternativas selectas. …”
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  2. 102
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  5. 105

    Model Calibration and Validation for the Fuzzy-EGARCH-ANN Model by Geleta T. Mohammed, Jane A. Aduda, Ananda O. Kube

    Published 2021-01-01
    “…This work shown as the fuzzy-EGARCH-ANN (fuzzy-exponential generalized autoregressive conditional heteroscedastic-artificial neural network) model does not require continuous model calibration if the corresponding DE algorithm is used appropriately, but other models such as GARCH, EGARCH, and EGARCH-ANN need continuous model calibration and validation so they fit the data and reality very well up to the desired accuracy. …”
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  6. 106
  7. 107

    Cooking Oil Price Volatility in the Consumer Market and Wholesalers Market in Indonesia by Doppy Roy Nendissa, Marthen R. Pellokila

    Published 2025-01-01
    “…Consumer price’s ARCH (α) and GARCH (β) coefficients are 0.569707, and the coefficients for wholesale prices are 1.29 and -0.13 respectively. …”
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  8. 108

    Empirical Evidence on Time-Varying Hedging Effectiveness of Emissions Allowances under Departures from the Cost-of-Carry Theory by Kai Chang

    Published 2013-01-01
    “…Under departures from the cost-of-carry theory, traded spot prices and conditional volatility disturbed from futures market have significant impacts on futures price of emissions allowances, and then we propose time-varying hedge ratios and hedging effectiveness estimation using ECM-GARCH model. Our empirical results show that conditional variance, conditional covariance, and their correlation between between spot and futures prices exhibit time-varying trends. …”
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    Potential of environmental, social, and governance investment as a hedge in Indonesia during COVID-19 pandemic by Robiyanto Robiyanto, Frieska Dwi Agustina, Intiyas Utami, Budi Frensidy, Andrian Dolfriandra Huruta

    Published 2025-12-01
    “…Using Generalized Autoregressive Conditional Heteroskedasticity (GARCH) and Quantile Regression (QREG) techniques, the study found that ESG investments cannot act as hedge or safe haven in IDX. …”
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  13. 113
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  15. 115

    Testing the Adaptive Market Hypothesis and Time-Varying Efficiency in the Indian Equity Market by Nang Biak Sing, Rajkumar Giridhari Singh

    Published 2024-06-01
    “…We apply three variations of the variance ratio test and the returns have been whitened using the Autoregressive model with generalized autoregressive conditional heteroskedasticity (AR-GARCH) approach to examine the nonlinear predictability test. …”
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  16. 116

    Gauging the dynamic interlinkage among robotics, artificial intelligence, and green crypto investment: A quantile VAR approach by Le Thanh Ha

    Published 2024-12-01
    “…In our research, we use a DCC-GARCH copula model to examine time-varying spillover effects and demonstrate interconnections between the development of AI and green cryptocurrencies from January 1, 2018, to September 8, 2023. …”
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  17. 117

    Meta Learning Strategies for Comparative and Efficient Adaptation to Financial Datasets by Kubra Noor, Ubaida Fatima

    Published 2025-01-01
    “…These findings highlight the framework’s robustness, scalability, and ability to manage dynamic market behaviors, making it an effective tool for both short-term traders and long-term investors. Compared to LSTM-GARCH, the proposed Meta learning model achieves an RMSE of 0.82 (versus up to 10.11), an MAE of 0.61 (versus up to 8.39), and a DA of 67.33% (versus up to 50.44%).…”
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  18. 118
  19. 119

    Testando a Existência de Efeitos Lead-Lag entre os Mercados Acionários Norte-Americano e Brasileiro by Gustavo Rezende de Oliveira, Otavio Ribeiro de Medeiros

    Published 2009-01-01
    “…Através da análise de regressão com vários modelos (regressão linear múltipla, equações simultâneas, VECM e GARCH), constatou-se que o índice Ibovespa é, em grande parte, explicado pelo movimento do Índice Dow Jones em minutos anteriores, divergindo do pressuposto da HME de não previsibilidade de preços. …”
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  20. 120

    Spillover of uncertainties of parallel markets on types of profit management with VAR-MGARCH approach by Adel Gardoon, Nader Khedri, Ali Mahmoodi, Mehdi Basert

    Published 2024-08-01
    “…The spillover effect between different markets was observed based on the results of multivariate GARCH models. As a result, the uncertainty of one market strengthens the uncertainty between other markets. …”
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