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Transportation scheduling for modules used in modular integrated construction

Wang, Huiwen; Liao, Liang; Wen, Yi; Zhen, Lu - In: International journal of production research 62 (2024) 11, pp. 3918-3931

Persistent link: https://www.econbiz.de/10014547151

Regression modelling analysis on compositional data

Wang, Huiwen; Meng, Jie; Tenenhaus, Michel - In: Handbook of partial least squares : concepts, methods …, (pp. 381-406). 2010

Persistent link: https://www.econbiz.de/10003944650

Introduction to SIMCA-P and its application

Wu, Zaibin; Li, Dapeng; Meng, Jie; Wang, Huiwen - In: Handbook of partial least squares : concepts, methods …, (pp. 757-774). 2010

Persistent link: https://www.econbiz.de/10003944719

Updating input-output tables with benchmark table series

Wang, Huiwen; Wang, Cheng; Zheng, Haitao; Feng, Haoyun; … - In: Economic systems research : journal of the … 27 (2015) 3, pp. 287-305

Persistent link: https://www.econbiz.de/10011385604

Modelling opportunity cost effects in money demand due to openness

Van Huellen, Sophie; Qin, Duo; Lu, Shan; Wang, Huiwen; … - In: International journal of finance & economics : IJFE 27 (2022) 1, pp. 697-744

Persistent link: https://www.econbiz.de/10012814857

Examining the influencing factors of CO2 emissions at city level via panel quantile regression : evidence from 102 Chinese cities

Zheng, Haitao; Hu, Jie; Wang, Shanshan; Wang, Huiwen - In: Applied economics 51 (2019) 35, pp. 3906-3919

Persistent link: https://www.econbiz.de/10012196924

A structural VAR and VECM modeling method for open-high-low-close data contained in candlestick chart

Huang, Wenyang; Wang, Huiwen; Wang, Shanshan - In: Financial innovation : FIN 10 (2024), pp. 1-29

The structural modeling of open-high-low-close (OHLC) data contained within the candlestick chart is crucial to fnancial practice. However, the inherent constraints in OHLC data pose immense challenges to its structural modeling. Models that fail to process these constraints may yield results...

Persistent link: https://www.econbiz.de/10014540309

Convolutional neural network forecasting of European Union allowances futures using a novel unconstrained transformation method

Huang, Wenyang; Wang, Huiwen; Qin, Haotong; Wei, Yigang; … - In: Energy economics 110 (2022), pp. 1-16

Persistent link: https://www.econbiz.de/10013349896

Identifying the determinants of European carbon allowances prices : a novel robust partial least squares method for open-high-low-close data

Huang, Wenyang; Wang, Huiwen; Wei, Yigang - In: International review of financial analysis 90 (2023), pp. 1-16

Persistent link: https://www.econbiz.de/10014470516

Complex network analysis of global stock market co-movement during the COVID-19 pandemic based on intraday open-high-low-close data

Huang, Wenyang; Wang, Huiwen; Wei, Yigang; Chevallier, … - In: Financial innovation : FIN 10 (2024), pp. 1-50

This study uses complex network analysis to investigate global stock market comovement during the black swan event of the Coronavirus Disease 2019 (COVID-19) pandemic. We propose a novel method for calculating stock price index correlations based on open-high-low-close (OHLC) data. More intraday...

Persistent link: https://www.econbiz.de/10014530176