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Testing financial time series for autocorrelation: Robust Tests
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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Status and New Data of the Geochemical Determination of the pp-Neutrino Flux by LOREX
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Model Calibration and Validation for the Fuzzy-EGARCH-ANN Model
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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106
From MRI to FEM: an automated pipeline for biomechanical simulations of vertebrae and intervertebral discs
Published 2025-01-01Get full text
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107
Cooking Oil Price Volatility in the Consumer Market and Wholesalers Market in Indonesia
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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108
Empirical Evidence on Time-Varying Hedging Effectiveness of Emissions Allowances under Departures from the Cost-of-Carry Theory
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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109
Loading monocytes with magnetic nanoparticles enables their magnetic control without toxicity
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Potential of environmental, social, and governance investment as a hedge in Indonesia during COVID-19 pandemic
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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113
MAGICS. II. Seed Black Holes Stripped of Their Surrounding Stars Do Not Sink
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114
Recoiling Black Holes: Electromagnetic Signatures, Candidates, and Astrophysical Implications
Published 2012-01-01Get full text
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115
Testing the Adaptive Market Hypothesis and Time-Varying Efficiency in the Indian Equity Market
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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116
Gauging the dynamic interlinkage among robotics, artificial intelligence, and green crypto investment: A quantile VAR approach
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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Meta Learning Strategies for Comparative and Efficient Adaptation to Financial Datasets
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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Assessing the Dark Matter Content of Two Quasar Host Galaxies at z ∼ 6 through Gas Kinematics
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119
Testando a Existência de Efeitos Lead-Lag entre os Mercados Acionários Norte-Americano e Brasileiro
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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Spillover of uncertainties of parallel markets on types of profit management with VAR-MGARCH approach
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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