Forecasting method of stock market volatility in time series data based on mixed model of ARIMA and XGBoost
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Forecasting method of stock market volatility in time series data based on mixed model of ARIMA and XGBoost is a scholarly article[1].
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Forecasting method of stock market volatility in time series data based on mixed model of ARIMA and XGBoost's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Forecasting method of stock market volatility in time series data based on mixed model of ARIMA and XGBoost. Retrieved May 24, 2026, from https://4ort.xyz/entity/forecasting-method-of-stock-market-volatility-in-time-series-data-based-on-mixed-model-of-arima-and-xgboost
MLA“Forecasting method of stock market volatility in time series data based on mixed model of ARIMA and XGBoost.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/forecasting-method-of-stock-market-volatility-in-time-series-data-based-on-mixed-model-of-arima-and-xgboost.
BibTeX@misc{4ortxyz_forecasting-method-of-stock-market-volatility-in-time-series-data-based-on-mixed-model-of-arima-and-xgboost_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Forecasting method of stock market volatility in time series data based on mixed model of ARIMA and XGBoost}}, year = {2026}, url = {https://4ort.xyz/entity/forecasting-method-of-stock-market-volatility-in-time-series-data-based-on-mixed-model-of-arima-and-xgboost}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Forecasting method of stock market volatility in time series data based on mixed model of ARIMA and XGBoost — https://4ort.xyz/entity/forecasting-method-of-stock-market-volatility-in-time-series-data-based-on-mixed-model-of-arima-and-xgboost (retrieved 2026-05-24)
