has been cited by the following article(s):
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[1]
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A Time Series Short-Term Prediction Method Based on Multi-Granularity Event Matching and Alignment.
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Computers, Materials & Continua,
2024 |
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[2]
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การ ประยุกต์ ใช้ สม การ คณิตศาสตร์ เพื่อ พยากรณ์ ปริมาณ การ ใช้ ไฟฟ้า สำหรับ การ บริหาร จัดการ พลังงาน ใน มหาวิทยาลัย กรณี ศึกษา มหาวิทยาลัย ราชภัฏ อุตรดิตถ์
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วารสาร วิชาการ …,
2024 |
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[3]
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LA CAPACIDAD PREDICTIVA DE LAS REDES NEURONALES LSTM RESPECTO DEL BITCOIN-Sánchez, Zurdo, Iñigo
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2022 |
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[4]
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Modelling Stock Market Prices Using the Open, High and Closes Prices. Evidence from International Financial Markets
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International Journal of Business and Economic …,
2022 |
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[5]
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Tomada de Decisão com Base em Moving Average Convergence-Divergence: Uma Análise sobre Volatilidade
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Navus: Revista de Gestão e …,
2021 |
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[6]
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Performance and Volatility Modelling for Shariah Compliant Stocks in Malaysia Using Exponentially Weighted Moving Average
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2021 |
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[7]
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Analysing Volatility during Extreme Market Events Using the Mid Cap Share Index
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2021 |
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[8]
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Building an efficient portfolio by using the weighted moving average in the light of the global pandemic (COVID19)(An applied study in the Iraq stock market)
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Periodicals of Engineering …,
2021 |
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[9]
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Volatility forecasting during extreme market events using the (JSE) small cap share index
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Acta Universitatis Danubius …,
2021 |
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[10]
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Volatility forecasting in small and mid-cap shares using EWMA and GARCH (1, 1) models
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2021 |
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[11]
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Downside Beta Modelling for Shariah Compliant, Conventional and Bitcoin Indices as A Proxy for Malaysia
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2020 |
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[12]
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THE EFFECT ACCOUNTING CONSERVATISM USING LO_EKO MODEL
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2019 |
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[13]
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International Journal of Business and Economic Sciences Applied Research
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[14]
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A Time Series Short-Term Prediction Method Based on a Multigranularity Event
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[1]
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P‐WEV: PSO Based Weighted Ensemble Technique for Agricultural Food Price Volatility Modeling
Agribusiness,
2024
DOI:10.1002/agr.22000
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