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2. A new perspective on air quality index time series forecasting: A ternary interval decomposition ensemble learning paradigm. (2023). Chen, Huayou ; Wang, Piao ; Gao, Ruobin.
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3. Functional Fuzzy Rule-Based Modeling for Interval-Valued Data: An Empirical Application for Exchange Rates Forecasting. (2021). Ballini, Rosangela ; MacIel, Leandro.
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4. Analysis of dependent data aggregated into intervals. (2021). Billard, Lynne ; Samadi, Yaser S.
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6. Technical analysis based on high and low stock prices forecasts: evidence for Brazil using a fractionally cointegrated VAR model. (2020). MacIel, Leandro.
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7. Modeling the Variance of Return Intervals Toward Volatility Prediction. (2020). Blackhurst, Isaac ; Loveland, Jennifer ; Lu, Zudi ; Lian, Guanghua ; Sun, Yan.
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10. Interval-valued time series forecasting using a novel hybrid HoltI and MSVR model. (2017). Bao, Yukun ; Xiong, Tao ; Li, Chongguang.
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11. Predicting Stock Return Volatility: Can We Benefit from Regression Models for Return Intervals?. (2016). Winker, Peter ; Blancofernandez, Angela .
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13. Modeling and forecasting interval time series with threshold models. (2015). Rodrigues, Paulo ; Salish, Nazarii.
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14. Mid-term interval load forecasting using multi-output support vector regression with a memetic algorithm for feature selection. (2015). Hu, Zhongyi ; Xiong, Tao ; Chiong, Raymond ; Bao, Yukun.
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15. Multiple-output support vector regression with a firefly algorithm for interval-valued stock price index forecasting. (2014). Xiong, Tao ; Hu, Zhongyi ; Bao, Yukun.
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1. Carbon price interval prediction method based on probability density recurrence network and interval multi-layer perceptron. (2024). Tian, Lixin ; Wang, Minggang ; Xu, Hua ; Zhu, Mengrui.
   In: Physica A: Statistical Mechanics and its Applications.
   RePEc:eee:phsmap:v:636:y:2024:i:c:s0378437124000517.

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2. Identifying the determinants of European carbon allowances prices: A novel robust partial least squares method for open-high-low-close data. (2023). Wei, Yigang ; Wang, Huiwen ; Huang, Wenyang.
   In: International Review of Financial Analysis.
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4. Modelling cryptocurrency high–low prices using fractional cointegrating VAR. (2022). YAYA, OLAOLUWA ; Ogbonna, Ahamuefula ; Adewuyi, Adeolu O ; Vo, Xuan Vinh.
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5. Convolutional neural network forecasting of European Union allowances futures using a novel unconstrained transformation method. (2022). Chevallier, Julien ; Wei, Yigang ; Qin, Haotong ; Wang, Huiwen ; Huang, Wenyang.
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6. Modeling fractional cointegration between high and low stock prices in Asian countries. (2021). Sibbertsen, Philipp ; Afzal, Alia.
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7. Forecasting open-high-low-close data contained in candlestick chart. (2021). Wang, Shanshan ; Huang, Wenyang.
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8. Dimension reduction of open-high-low-close data in candlestick chart based on pseudo-PCA. (2021). Wang, Shanshan ; Huang, Wenyang.
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9. Technical analysis based on high and low stock prices forecasts: evidence for Brazil using a fractionally cointegrated VAR model. (2020). MacIel, Leandro.
   In: Empirical Economics.
   RePEc:spr:empeco:v:58:y:2020:i:4:d:10.1007_s00181-018-1603-8.

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10. Modelling Cryptocurrency High-Low Prices using Fractional Cointegrating VAR. (2020). YAYA, OLAOLUWA ; Ogbonna, Ahamuefula ; Adewuyi, Adeolu O ; Vo, Xuan Vinh.
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11. High and low prices and the range in the European stock markets: A long-memory approach. (2020). Gil-Alana, Luis ; Caporale, Guglielmo Maria ; Poza, Carlos.
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12. High and Low Intraday Commodity Prices: A Fractional Integration and Cointegration Approach. (2018). YAYA, OLAOLUWA ; Gil-Alana, Luis A.
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13. Interval-valued time series forecasting using a novel hybrid HoltI and MSVR model. (2017). Bao, Yukun ; Xiong, Tao ; Li, Chongguang.
    In: Economic Modelling.
    RePEc:eee:ecmode:v:60:y:2017:i:c:p:11-23.

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14. Modeling and forecasting interval time series with threshold models. (2015). Rodrigues, Paulo ; Salish, Nazarii.
    In: Advances in Data Analysis and Classification.
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15. MA trading rules, herding behaviors, and stock market overreaction. (2015). Ni, Yensen ; Huang, Paoyu ; Liao, Yi-Ching .
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16. Mid-term interval load forecasting using multi-output support vector regression with a memetic algorithm for feature selection. (2015). Hu, Zhongyi ; Xiong, Tao ; Chiong, Raymond ; Bao, Yukun.
    In: Energy.
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17. An empirical model of fractionally cointegrated daily high and low stock market prices. (2015). Baruník, Jozef ; Barunik, Jozef ; Dvoakova, Sylvie .
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18. On the predictability of stock prices: A case for high and low prices. (2013). Santucci de Magistris, Paolo ; Ranaldo, Angelo ; Caporin, Massimiliano.
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19. Dynamic spillovers between oil and stock markets in the Gulf Cooperation Council Countries. (2013). Awartani, Basel ; Maghyereh, Aktham Issa .
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20. On the Predictability of Stock Prices: a Case for High and Low Prices. (2012). Santucci de Magistris, Paolo ; Ranaldo, Angelo ; Caporin, Massimiliano.
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21. Short-Term Stock Price Reversals May Be Reversed. (2012). Kudryavtsev, Andrey.
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22. On the Predictability of Stock Prices: a Case for High and Low Prices. (2011). Ranaldo, Angelo ; Caporin, Massimiliano.
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23. Modeling and Forecasting Interval Time Series with Threshold Models: An Application to S&P500 Index Returns. (2011). Rodrigues, Paulo ; Salish, Nazarii ; Paulo M. M. Rodrigues, ; Paulo M. M. Rodrigues, ; Paulo M. M. Rodrigues, .
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24. On the Predictability of Stock Prices: A Case for High and Low Prices.. (2011). Santucci de Magistris, Paolo ; Ranaldo, Angelo ; Caporin, Massimiliano.
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25. Different Approaches to Forecast Interval Time Series: A Comparison in Finance. (2011). Maté, Carlos.
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26. A trading strategy based on Callable Bull/Bear Contracts. (2010). Wan, Alan ; Cheung, Yin-Wong ; He, Angela W. W., ; Wan, Alan T. K., .
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27. Electric power demand forecasting using interval time series: A comparison between VAR and iMLP. (2010). Maté, Carlos ; Mate, Carlos ; Garcia-Ascanio, Carolina .
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28. Predicting daily highs and lows of exchange rates: a cointegration analysis. (2009). Wan, Alan ; He, Angela .
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29. A high-low model of daily stock price ranges. (2009). Wan, Alan ; Cheung, Yin-Wong ; Alan T. K. Wan, ; Alan T. K. Wan, .
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30. A High-Low Model of Daily Stock Price Ranges. (2009). Wan, Alan ; Cheung, Yin-Wong ; Alan T. K. Wan, ; Alan T. K. Wan, .
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31. A High-Low Model of Daily Stock Price Ranges. (2008). Wan, Alan ; Cheung, Yin-Wong ; Alan T. K. Wan, ; Alan T. K. Wan, .
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