Lean Yu : Citation Profile


Are you Lean Yu?

University of Chinese Academy of Sciences

15

H index

19

i10 index

741

Citations

RESEARCH PRODUCTION:

62

Articles

2

Books

RESEARCH ACTIVITY:

   15 years (2006 - 2021). See details.
   Cites by year: 49
   Journals where Lean Yu has often published
   Relations with other researchers
   Recent citing documents: 185.    Total self citations: 24 (3.14 %)

MORE DETAILS IN:
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   Permalink: http://citec.repec.org/pyu29
   Updated: 2021-10-16    RAS profile: 2021-08-15    
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Relations with other researchers


Works with:

Authors registered in RePEc who have co-authored more than one work in the last five years with Lean Yu.

Is cited by:

Wei, Yi-Ming (27)

Su, Bin (9)

Ji, Qiang (9)

Wang, Yudong (8)

Zhou, Peng (6)

Zhang, Yue-Jun (6)

Baruník, Jozef (5)

Chevallier, Julien (5)

Papadimitriou, Theophilos (3)

Vacha, Lukas (3)

Selmi, Refk (3)

Cites to:

Wei, Yi-Ming (16)

Zhou, Peng (14)

Ang, B.W. (11)

Hammoudeh, Shawkat (10)

Zhang, Yue-Jun (8)

Nguyen, Duc Khuong (8)

Kilian, Lutz (8)

JAMMAZI, RANIA (7)

Mariano, Roberto (6)

Reboredo, Juan (6)

Diebold, Francis (6)

Main data


Where Lean Yu has published?


Journals with more than one article published# docs
International Journal of Information Technology & Decision Making (IJITDM)10
Energy Economics6
Energy5
Energy Policy3
Applied Energy3
Journal of Forecasting3
Annals of Operations Research2
Discrete Dynamics in Nature and Society2
Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement2
Financial Innovation2
International Journal of Systems Science2
International Review of Financial Analysis2
European Journal of Operational Research2
New Mathematics and Natural Computation (NMNC)2

Recent works citing Lean Yu (2021 and 2020)


YearTitle of citing document
2020Refinements of Barndorff-Nielsen and Shephard model: an analysis of crude oil price with machine learning. (2019). Hanson, Erik ; Nganje, William ; Sengupta, Indranil. In: Papers. RePEc:arx:papers:1911.13300.

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2021Text-based crude oil price forecasting. (2020). Jia, Suling ; Yu, Hao ; Li, Xixi ; Bai, Yun. In: Papers. RePEc:arx:papers:2002.02010.

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2020Long short-term memory networks and laglasso for bond yield forecasting: Peeping inside the black box. (2020). Niranjan, Mahesan ; McGroarty, Frank ; Gerding, Enrico ; Nunes, Manuel. In: Papers. RePEc:arx:papers:2005.02217.

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2020Public Concern and the Financial Markets during the COVID-19 outbreak. (2020). Santagiustina, Carlo ; Iacopini, Matteo ; Costola, Michele. In: Papers. RePEc:arx:papers:2005.06796.

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2020Application of Nonlinear Autoregressive with Exogenous Input (NARX) neural network in macroeconomic forecasting, national goal setting and global competitiveness assessment. (2020). Tang, Liyang. In: Papers. RePEc:arx:papers:2005.08735.

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2020Encompassing Tests for Value at Risk and Expected Shortfall Multi-Step Forecasts based on Inference on the Boundary. (2020). Schnaitmann, Julie ; Liu, Xiaochun ; Dimitriadis, Timo. In: Papers. RePEc:arx:papers:2009.07341.

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2020Qlib: An AI-oriented Quantitative Investment Platform. (2020). Bian, Jiang ; Zhou, Dong ; Liu, Weiqing ; Yang, Xiao. In: Papers. RePEc:arx:papers:2009.11189.

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2021Contracts in Electricity Markets under EU ETS: A Stochastic Programming Approach. (2021). Abate, Arega ; Ruiz, Carlos ; Riccardi, Rossana. In: Papers. RePEc:arx:papers:2104.15062.

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2021Adaptive Complementary Ensemble EMD and Energy-Frequency Spectra of Cryptocurrency Prices. (2021). Zhao, Theodore ; Leung, Tim. In: Papers. RePEc:arx:papers:2105.08133.

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2021Financial Time Series Analysis and Forecasting with HHT Feature Generation and Machine Learning. (2021). Zhao, Theodore ; Leung, Tim. In: Papers. RePEc:arx:papers:2105.10871.

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2021Monitoring multidimensional phenomena with a multicriteria composite performance interval approach. (2021). Hilario-Caballero, Adolfo ; Garcia-Bernabeu, Ana. In: Papers. RePEc:arx:papers:2107.08393.

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2021Machine Learning and Oil Price Point and Density Forecasting. (2021). Gaglianone, Wagner ; Lin, Yihao ; Issler, Joo Victor ; Teixeira, Osmani ; Cavalcanti, Pedro ; Bonnet, Alexandre. In: Working Papers Series. RePEc:bcb:wpaper:544.

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2020Does Chinas carbon emissions trading policy improve the technology innovation of relevant enterprises?. (2020). Zhang, Yue-Jun ; Shi, Wei ; Jiang, Lin. In: Business Strategy and the Environment. RePEc:bla:bstrat:v:29:y:2020:i:3:p:872-885.

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2020The Co-Movements Between Crude Oil Price and Internet Concerns: Causality Analysis in the Frequency Domain. (2020). Ling, LI ; Jingjing, LI. In: Journal of Systems Science and Information. RePEc:bpj:jossai:v:8:y:2020:i:3:p:224-239:n:2.

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2021Volatility Spillovers between Oil Prices and Stock Returns in Developing Countries. (2021). Massadikov, Khairulla. In: International Journal of Energy Economics and Policy. RePEc:eco:journ2:2021-04-16.

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2020A decomposition-ensemble approach for tourism forecasting. (2020). Wang, Shouyang ; Qian, Yatong ; Xie, Gang. In: Annals of Tourism Research. RePEc:eee:anture:v:81:y:2020:i:c:s0160738320300359.

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2020A multi-scale method for forecasting oil price with multi-factor search engine data. (2020). Wang, Shouyang ; Li, Ling ; Zhang, Chengyuan ; Tang, Ling. In: Applied Energy. RePEc:eee:appene:v:257:y:2020:i:c:s0306261919317209.

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2020An adaptive hybrid model for short term electricity price forecasting. (2020). Wei, Yi-Ming ; Tan, Zhongfu ; Zhang, Jinliang. In: Applied Energy. RePEc:eee:appene:v:258:y:2020:i:c:s030626191931774x.

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2020The impact of carbon trading on economic output and carbon emissions reduction in China’s industrial sectors. (2020). Shen, BO ; Jin, Yan-Lin ; Liang, Ting ; Zhang, Yue-Jun. In: Applied Energy. RePEc:eee:appene:v:260:y:2020:i:c:s0306261919319774.

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2020A novel hybrid model for forecasting crude oil price based on time series decomposition. (2020). Abdollahi, Hooman. In: Applied Energy. RePEc:eee:appene:v:267:y:2020:i:c:s030626192030547x.

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2020Hybrid modeling in the predictive analytics of energy systems and prices. (2020). Duru, Okan ; Gulay, Emrah. In: Applied Energy. RePEc:eee:appene:v:268:y:2020:i:c:s0306261920304979.

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2020Turbine-specific short-term wind speed forecasting considering within-farm wind field dependencies and fluctuations. (2020). Ezzat, Ahmed Aziz. In: Applied Energy. RePEc:eee:appene:v:269:y:2020:i:c:s0306261920305468.

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2021A machine learning-based surrogate model to approximate optimal building retrofit solutions. (2021). Orehounig, Kristina ; Lucchi, Aurelien ; Mavromatidis, Georgios ; Thrampoulidis, Emmanouil. In: Applied Energy. RePEc:eee:appene:v:281:y:2021:i:c:s0306261920314665.

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2021Short-term CO2 emissions forecasting based on decomposition approaches and its impact on electricity market scheduling. (2021). Andresen, Gorm Bruun ; Tranberg, BO ; Bokde, Neeraj Dhanraj. In: Applied Energy. RePEc:eee:appene:v:281:y:2021:i:c:s0306261920314926.

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2021A hybrid model for carbon price forecastingusing GARCH and long short-term memory network. (2021). Zhou, Dequn ; Wang, Qunwei ; Dai, Xingyu ; Huang, Yumeng. In: Applied Energy. RePEc:eee:appene:v:285:y:2021:i:c:s0306261921000489.

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2021Advanced price forecasting in agent-based electricity market simulation. (2021). Fichtner, Wolf ; Keles, Dogan ; Kraft, Emil ; Fraunholz, Christoph. In: Applied Energy. RePEc:eee:appene:v:290:y:2021:i:c:s0306261921002142.

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2021Application of a novel structure-adaptative grey model with adjustable time power item for nuclear energy consumption forecasting. (2021). Zhou, Weijie ; Wu, Shu ; Li, Ruojin ; Ding, Song. In: Applied Energy. RePEc:eee:appene:v:298:y:2021:i:c:s0306261921005572.

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2021Greenhouse gas emissions vs CO2 emissions: Comparative analysis of a global carbon tax. (2021). Simshauser, Paul ; Nguyen, Duong Binh ; Nong, Duy. In: Applied Energy. RePEc:eee:appene:v:298:y:2021:i:c:s0306261921006462.

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2021Forecasting residential electricity consumption using a hybrid machine learning model with online search data. (2021). Shao, Xueyan ; Chi, Hong ; Gao, Feng. In: Applied Energy. RePEc:eee:appene:v:300:y:2021:i:c:s0306261921007947.

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2021Forecasting spread of COVID-19 using google trends: A hybrid GWO-deep learning approach. (2021). Singh, Uttam ; Prasanth, Sikakollu ; PEter, ; Tikkiwal, Vinay Anand ; Kumar, Arun. In: Chaos, Solitons & Fractals. RePEc:eee:chsofr:v:142:y:2021:i:c:s0960077920307311.

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2021Ensemble forecasting for product futures prices using variational mode decomposition and artificial neural networks. (2021). Huang, Keke ; Liu, Yishun ; Wang, Chengzhu. In: Chaos, Solitons & Fractals. RePEc:eee:chsofr:v:146:y:2021:i:c:s0960077921001740.

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2020Multi-scale interactions between economic policy uncertainty and oil prices in time-frequency domains. (2020). Li, Jianping ; Wang, Jun ; Chen, Xiuwen ; Sun, Xiaolei. In: The North American Journal of Economics and Finance. RePEc:eee:ecofin:v:51:y:2020:i:c:s1062940818302456.

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2020The economic and financial properties of crude oil: A review. (2020). Auer, Benjamin R ; Lang, Korbinian. In: The North American Journal of Economics and Finance. RePEc:eee:ecofin:v:52:y:2020:i:c:s1062940818302559.

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2020Risk dependence and cointegration between pharmaceutical stock markets: The case of China and the USA. (2020). Pérez-Rodríguez, Jorge ; Lopez-Valcarcel, Beatriz Gonzalez ; Perez-Rodriguez, Jorge V ; Qian, Huanhuan ; Zhou, Xinmiao. In: The North American Journal of Economics and Finance. RePEc:eee:ecofin:v:52:y:2020:i:c:s1062940820300723.

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2021Spillovers between sovereign CDS and exchange rate markets: The role of market fear. (2021). Feng, Qianqian ; Li, Jian Ping ; Liu, Chang ; Sun, Xiaolei. In: The North American Journal of Economics and Finance. RePEc:eee:ecofin:v:55:y:2021:i:c:s1062940820301960.

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2021Risk spillover and network connectedness analysis of China’s green bond and financial markets: Evidence from financial events of 2015–2020. (2021). Wang, Yaojun ; Li, Yangyang ; Gao, Yang. In: The North American Journal of Economics and Finance. RePEc:eee:ecofin:v:57:y:2021:i:c:s1062940821000231.

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2021Forecasting stock index price using the CEEMDAN-LSTM model. (2021). Ma, Feng ; Liao, Ying ; Xu, Jiali ; Yan, Yan ; Lin, YU. In: The North American Journal of Economics and Finance. RePEc:eee:ecofin:v:57:y:2021:i:c:s1062940821000553.

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2021Toward a framework for the multimodel ensemble prediction of soil nitrogen losses. (2021). Zhu, Qing ; Lai, Xiaoming ; Lv, Ligang ; Liao, Kaihua. In: Ecological Modelling. RePEc:eee:ecomod:v:456:y:2021:i:c:s0304380021002337.

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2020Can deep learning predict risky retail investors? A case study in financial risk behavior forecasting. (2020). Kim, A ; Johnson, J. E. V., ; Sung, M.-C., ; Ma, T ; Lessmann, S ; Yang, Y. In: European Journal of Operational Research. RePEc:eee:ejores:v:283:y:2020:i:1:p:217-234.

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2020Modeling the emission trading scheme from an agent-based perspective: System dynamics emerging from firms’ coordination among abatement options. (2020). Eichhammer, Wolfgang ; Zhu, Lei ; Fan, Ying ; Yu, Song-Min. In: European Journal of Operational Research. RePEc:eee:ejores:v:286:y:2020:i:3:p:1113-1128.

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2020AI-based competition of autonomous vehicle fleets with application to fleet modularity. (2020). Epureanu, Bogdan I ; Li, Xingyu. In: European Journal of Operational Research. RePEc:eee:ejores:v:287:y:2020:i:3:p:856-874.

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2021Adaptive online portfolio selection with transaction costs. (2021). Ching, Wai-Ki ; Gu, Jia-Wen ; Guo, Sini. In: European Journal of Operational Research. RePEc:eee:ejores:v:295:y:2021:i:3:p:1074-1086.

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2021Learning representation of stock traders and immediate price impacts. (2021). Zhou, Wei-Xing ; Li, Mu-Yao ; Xie, Wen-Jie. In: Emerging Markets Review. RePEc:eee:ememar:v:48:y:2021:i:c:s1566014120306002.

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2021When Pep comes calling, the oil market answers: The effect of football player transfer movements on abnormal fluctuations in oil price futures. (2021). Smyth, Russell ; Nepal, Rabindra ; Do, Hung Xuan. In: Energy Economics. RePEc:eee:eneeco:v:100:y:2021:i:c:s0140988321002310.

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2020Chinas carbon emissions trading and stock returns. (2020). Wu, Nan ; Wen, Fenghua ; Gong, XU. In: Energy Economics. RePEc:eee:eneeco:v:86:y:2020:i:c:s0140988319304244.

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2020Modeling and forecasting the electricity clearing price: A novel BELM based pattern classification framework and a comparative analytic study on multi-layer BELM and LSTM. (2020). Zheng, Qingru ; Shao, Zhen ; Liu, Chen ; Zhang, Qiang ; Cheng, Manli ; Gao, Fei ; Yang, Shanlin. In: Energy Economics. RePEc:eee:eneeco:v:86:y:2020:i:c:s0140988319304451.

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2020Forecasting the real prices of crude oil using robust regression models with regularization constraints. (2020). Wang, Yudong ; Hao, Xianfeng ; Zhao, Yuyang. In: Energy Economics. RePEc:eee:eneeco:v:86:y:2020:i:c:s0140988320300220.

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2020Crude oil price analysis and forecasting: A perspective of “new triangle”. (2020). Wang, Shouyang ; Chai, Jian ; Li, Yuze ; Lu, Quanying. In: Energy Economics. RePEc:eee:eneeco:v:87:y:2020:i:c:s0140988320300608.

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2020Magnitude and persistence of extreme risk spillovers in the global energy market: A high-dimensional left-tail interdependence perspective. (2020). Liu, Jiahao ; Lin, Renda ; Zhu, BO. In: Energy Economics. RePEc:eee:eneeco:v:89:y:2020:i:c:s0140988320301018.

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2020Energy futures and spots prices forecasting by hybrid SW-GRU with EMD and error evaluation. (2020). Wang, Jun. In: Energy Economics. RePEc:eee:eneeco:v:90:y:2020:i:c:s0140988320301675.

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2020How connected is the carbon market to energy and financial markets? A systematic analysis of spillovers and dynamics. (2020). Wang, Xinyu ; Vivian, Andrew ; Sirichand, Kavita ; Tan, Xueping. In: Energy Economics. RePEc:eee:eneeco:v:90:y:2020:i:c:s0140988320302103.

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2020A multi-granularity heterogeneous combination approach to crude oil price forecasting. (2020). Zhou, Hao ; Wang, Jue ; Li, Xiang ; Hong, Tao. In: Energy Economics. RePEc:eee:eneeco:v:91:y:2020:i:c:s0140988320301304.

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2020Interaction among China carbon emission trading markets: Nonlinear Granger causality and time-varying effect. (2020). Zhao, Lili ; Wang, Xiong ; Wen, Fenghua. In: Energy Economics. RePEc:eee:eneeco:v:91:y:2020:i:c:s0140988320302413.

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2020Market design for renewable energy auctions: An analysis of alternative auction formats. (2020). Sutterer, Paul ; Kretschmer, Sandra ; Grimm, Veronika ; Bichler, Martin. In: Energy Economics. RePEc:eee:eneeco:v:92:y:2020:i:c:s0140988320302449.

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2020Stylized agent-based modeling on linking emission trading systems and its implications for Chinas practice. (2020). Ma, Tieju ; Fang, Chenhao. In: Energy Economics. RePEc:eee:eneeco:v:92:y:2020:i:c:s0140988320302565.

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2020An inquiry into the structure and dynamics of crude oil price using the fast iterative filtering algorithm. (2020). Piersanti, Giovanni ; Di Domizio, Marco ; Canofari, Paolo ; Cicone, Antonio. In: Energy Economics. RePEc:eee:eneeco:v:92:y:2020:i:c:s0140988320302929.

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2021Neural network prediction of crude oil futures using B-splines. (2021). Shang, Han Lin ; Miao, Hong ; Kokoszka, Piotr ; Butler, Sunil. In: Energy Economics. RePEc:eee:eneeco:v:94:y:2021:i:c:s0140988320304205.

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2021Predicting corporate carbon footprints for climate finance risk analyses: A machine learning approach. (2021). Kuruppuarachchi, Duminda ; Diaz-Rainey, Ivan ; Nguyen, Quyen. In: Energy Economics. RePEc:eee:eneeco:v:95:y:2021:i:c:s0140988321000347.

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2021The marginal impacts of energy prices on carbon price variations: Evidence from a quantile-on-quantile approach. (2021). Mishra, Tapas ; Yan, Cheng ; Shi, Yukun ; Ren, Xiaohang ; Duan, Kun. In: Energy Economics. RePEc:eee:eneeco:v:95:y:2021:i:c:s0140988321000360.

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2021The role of news sentiment in oil futures returns and volatility forecasting: Data-decomposition based deep learning approach. (2021). Wang, Shouyang ; Li, Xuerong ; Jiang, Shangrong. In: Energy Economics. RePEc:eee:eneeco:v:95:y:2021:i:c:s0140988321000451.

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2021Forecasting crude oil prices: A scaled PCA approach. (2021). Wang, Yudong ; Wen, Danyan ; Zhang, Yaojie ; He, Mengxi. In: Energy Economics. RePEc:eee:eneeco:v:97:y:2021:i:c:s0140988321000943.

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2021How does Chinas carbon emissions trading (CET) policy affect the investment of CET-covered enterprises?. (2021). Wang, Wei ; Zhang, Yue-Jun. In: Energy Economics. RePEc:eee:eneeco:v:98:y:2021:i:c:s0140988321001298.

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2021Asymmetric spillover and network connectedness between crude oil, gold, and Chinese sector stock markets. (2021). Kang, Sang Hoon ; Vo, Xuan Vinh ; al Rababa, Abdel Razzaq ; Mensi, Walid. In: Energy Economics. RePEc:eee:eneeco:v:98:y:2021:i:c:s0140988321001675.

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2021The impact of extreme events on energy price risk. (2021). Chang, Chun-Ping ; Zhao, Xin-Xin ; Wen, Jun. In: Energy Economics. RePEc:eee:eneeco:v:99:y:2021:i:c:s0140988321002139.

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2021The importance of extreme shock: Examining the effect of investor sentiment on the crude oil futures market. (2021). Liang, Chao ; Niu, Tianjiao ; Ma, Feng ; Wang, LU. In: Energy Economics. RePEc:eee:eneeco:v:99:y:2021:i:c:s0140988321002255.

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2020Can energy supply-side and demand-side policies for energy saving and emission reduction be synergistic?--- A simulated study on Chinas coal capacity cut and carbon tax. (2020). Yao, Xilong ; Li, Xiaoyu. In: Energy Policy. RePEc:eee:enepol:v:138:y:2020:i:c:s0301421519308134.

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2020Imbalance settlement evaluation for Chinas balancing market design via an agent-based model with a multiple criteria decision analysis method. (2020). Liu, Xiaojuan ; Zhang, Yan ; Zhou, Ming ; Wu, Zhaoyuan. In: Energy Policy. RePEc:eee:enepol:v:139:y:2020:i:c:s0301421520300550.

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2020Development of the electricity-environmental policy CGE model (GTAP-E-PowerS): A case of the carbon tax in South Africa. (2020). Nong, Duy. In: Energy Policy. RePEc:eee:enepol:v:140:y:2020:i:c:s0301421520301312.

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2021Emission tax vs. permit trading under bounded rationality and dynamic markets. (2021). van den Bergh, Jeroen ; Savin, Ivan ; Foramitti, Joel. In: Energy Policy. RePEc:eee:enepol:v:148:y:2021:i:pb:s0301421520307205.

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2021Multiscale interplay of higher-order moments between the carbon and energy markets during Phase III of the EU ETS. (2021). Dhesi, Gurjeet ; Wang, Qunwei ; Xiao, Ling ; Dai, Xingyu. In: Energy Policy. RePEc:eee:enepol:v:156:y:2021:i:c:s0301421521002986.

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2020Effective energy consumption forecasting using enhanced bagged echo state network. (2020). Zeng, Yu-Rong ; Peng, LU ; Wang, Lin ; Hu, Huanling. In: Energy. RePEc:eee:energy:v:193:y:2020:i:c:s0360544219324739.

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2020Factors driving oil price —— from the perspective of United States. (2020). Lobon, Oana-Ramona ; Moldovan, Nicoleta-Claudia ; Tao, Ran ; Qin, Meng ; Su, Chi-Wei. In: Energy. RePEc:eee:energy:v:197:y:2020:i:c:s0360544220303261.

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2020How and when does information publicity affect public acceptance of nuclear energy?. (2020). Wang, Jing ; Li, Jun ; Lin, Shoufu. In: Energy. RePEc:eee:energy:v:198:y:2020:i:c:s0360544220303972.

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2020Dynamic measurements on unsteady pressure pulsations and flow distributions in a nuclear reactor coolant pump. (2020). Zhang, Ning ; Ni, Dan ; Yang, Minguan ; Li, Zhong ; Gao, BO. In: Energy. RePEc:eee:energy:v:198:y:2020:i:c:s0360544220304126.

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2020An empirical analysis of relationships between cyclical components of oil price and tanker freight rates. (2020). Basu, Rounaq ; Siddiqui, Atiq W. In: Energy. RePEc:eee:energy:v:200:y:2020:i:c:s0360544220306010.

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2020A new hybrid model for forecasting Brent crude oil price. (2020). Ebrahimi, Seyed Babak ; Abdollahi, Hooman. In: Energy. RePEc:eee:energy:v:200:y:2020:i:c:s0360544220306277.

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2020Day-ahead spatiotemporal wind speed forecasting using robust design-based deep learning neural network. (2020). Aulia, Thursy Rienda ; Hong, Ying-Yi. In: Energy. RePEc:eee:energy:v:209:y:2020:i:c:s0360544220315498.

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2020Bi-level multi-objective programming approach for carbon emission quota allocation towards co-combustion of coal and sewage sludge. (2020). Xu, Jiuping ; Huang, Qian. In: Energy. RePEc:eee:energy:v:211:y:2020:i:c:s0360544220318363.

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2020A new forecasting model with wrapper-based feature selection approach using multi-objective optimization technique for chaotic crude oil time series. (2020). Bekiros, Stelios ; Ahmad, Wasim ; Altan, Ayta ; Karasu, Sekin. In: Energy. RePEc:eee:energy:v:212:y:2020:i:c:s0360544220318570.

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2020Use of new variables based on air temperature for forecasting day-ahead spot electricity prices using deep neural networks: A new approach. (2020). Jasiski, Tomasz. In: Energy. RePEc:eee:energy:v:213:y:2020:i:c:s0360544220318910.

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2021Future projections of offshore wind energy resources in China using CMIP6 simulations and a deep learning-based downscaling method. (2021). Li, Xichen ; Zhang, Shuangyi. In: Energy. RePEc:eee:energy:v:217:y:2021:i:c:s0360544220324282.

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2021Correlations between crude oil and stocks prices of renewable energy and technology companies: A multiscale time-dependent analysis. (2021). Niu, Hongli. In: Energy. RePEc:eee:energy:v:221:y:2021:i:c:s0360544221000499.

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2021Mid-term prediction of electrical energy consumption for crude oil pipelines using a hybrid algorithm of support vector machine and genetic algorithm. (2021). Wu, Xingguang ; Lei, Ting ; Liu, Jiaquan ; Zhu, Zhenyu ; Hou, Lei ; Xu, Lei. In: Energy. RePEc:eee:energy:v:222:y:2021:i:c:s0360544221002048.

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2021Forecasting the U.S. oil markets based on social media information during the COVID-19 pandemic. (2021). Zeng, Yu-Rong ; Wang, Sirui ; Wu, Binrong. In: Energy. RePEc:eee:energy:v:226:y:2021:i:c:s0360544221006526.

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2021Multi-step-ahead crude oil price forecasting based on two-layer decomposition technique and extreme learning machine optimized by the particle swarm optimization algorithm. (2021). Chen, Kaijie ; Du, Xiaoxu ; Wu, Junchuan ; Tang, Zhenpeng ; Zhang, Tingting. In: Energy. RePEc:eee:energy:v:229:y:2021:i:c:s0360544221010458.

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2021A decomposition-ensemble model with regrouping method and attention-based gated recurrent unit network for energy price prediction. (2021). Liu, Cheng ; Xu, Kunliang ; Niu, Hongli. In: Energy. RePEc:eee:energy:v:231:y:2021:i:c:s0360544221011890.

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2021Multidimensional risk spillovers among crude oil, the US and Chinese stock markets: Evidence during the COVID-19 epidemic. (2021). Lu, Tuantuan ; Wei, YU ; Tang, Yong ; Zhu, Pengfei. In: Energy. RePEc:eee:energy:v:231:y:2021:i:c:s036054422101197x.

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2021Short-term forecasting of natural gas prices by using a novel hybrid method based on a combination of the CEEMDAN-SE-and the PSO-ALS-optimized GRU network. (2021). Cheng, Ming ; Yuan, Shan ; Cao, Junxing ; Wang, Jun. In: Energy. RePEc:eee:energy:v:233:y:2021:i:c:s036054422101330x.

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2020Spatial linkage of volatility spillovers and its explanation across G20 stock markets: A network framework. (2020). Zhuang, Xintian ; Zhang, Weiping ; Wang, Jian ; Lu, Yang. In: International Review of Financial Analysis. RePEc:eee:finana:v:71:y:2020:i:c:s1057521919305381.

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2020A novel two-stage approach for cryptocurrency analysis. (2020). Sun, Yuying ; Yang, Boyu ; Wang, Shouyang. In: International Review of Financial Analysis. RePEc:eee:finana:v:72:y:2020:i:c:s1057521920302118.

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2021Can the Chinese volatility index reflect investor sentiment?. (2021). Tang, Yeran ; Zhao, Manyi ; Long, Wen. In: International Review of Financial Analysis. RePEc:eee:finana:v:73:y:2021:i:c:s1057521920302556.

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2021Returns and volatilities of energy futures markets: Roles of speculative and hedging sentiments. (2021). Liu, Jia ; Jin, Chenglu ; Wei, BO ; Chen, Rongda. In: International Review of Financial Analysis. RePEc:eee:finana:v:76:y:2021:i:c:s1057521921000909.

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2021Uncovering the impacts of structural similarity of financial indicators on stock returns at different quantile levels. (2021). Si, Jingjian ; Ding, Jiazheng ; Zheng, Huiling ; Zhou, Jinsheng ; Gao, Xiangyun. In: International Review of Financial Analysis. RePEc:eee:finana:v:76:y:2021:i:c:s1057521921001253.

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2020Spatial connectedness of volatility spillovers in G20 stock markets: Based on block models analysis. (2020). Wu, Dongmei ; Zhuang, Xintian ; Zhang, Weiping. In: Finance Research Letters. RePEc:eee:finlet:v:34:y:2020:i:c:s1544612319304805.

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2021The role of investor attention in predicting stock prices: The long short-term memory networks perspective. (2021). Zhang, Yongjie ; Shen, Dehua ; Chu, Gang. In: Finance Research Letters. RePEc:eee:finlet:v:38:y:2021:i:c:s1544612319310943.

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2021Forecasting the price of Bitcoin using deep learning. (2021). Yao, Yinhong ; Zhu, Xiaoqian ; Li, Jian Ping ; Wenli, Guo ; Liu, Mingxi. In: Finance Research Letters. RePEc:eee:finlet:v:40:y:2021:i:c:s1544612320304864.

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2020Forecasting stock price volatility: New evidence from the GARCH-MIDAS model. (2020). Yang, Lin ; Liu, Jing ; Ma, Feng ; Wang, LU. In: International Journal of Forecasting. RePEc:eee:intfor:v:36:y:2020:i:2:p:684-694.

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2020Can Google search data help predict macroeconomic series?. (2020). Lange, Rutger-Jan ; Brons, Kester ; Veldhuisen, Christian P ; Oorschot, Jochem A ; Niesert, Robin F. In: International Journal of Forecasting. RePEc:eee:intfor:v:36:y:2020:i:3:p:1163-1172.

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2021Economic sentiment during the COVID pandemic: Evidence from search behaviour in the EU. (2021). van der Wielen, Wouter ; Barrios, Salvador. In: Journal of Economics and Business. RePEc:eee:jebusi:v:115:y:2021:i:c:s0148619520304148.

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2020Incorporating Black-Litterman views in portfolio construction when stock returns are a mixture of normals. (2020). Cornuejols, Gerard ; Kocuk, Burak . In: Omega. RePEc:eee:jomega:v:91:y:2020:i:c:s0305048317312604.

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2020Seasonal patterns of global oil consumption: Implications for long term energy policy. (2020). Inchauspe, Julian ; Park, Jason. In: Journal of Policy Modeling. RePEc:eee:jpolmo:v:42:y:2020:i:3:p:536-556.

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More than 100 citations found, this list is not complete...

Works by Lean Yu:


YearTitleTypeCited
2016Quantiles on Stream: An Application to Monte Carlo Simulation In: Journal of Systems Science and Information.
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2014A novel data-characteristic-driven modeling methodology for nuclear energy consumption forecasting In: Applied Energy.
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2015A decomposition–ensemble model with data-characteristic-driven reconstruction for crude oil price forecasting In: Applied Energy.
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2012A novel hybrid ensemble learning paradigm for nuclear energy consumption forecasting In: Applied Energy.
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2013A novel nonlinear value-at-risk method for modeling risk of option portfolio with multivariate mixture of normal distributions In: Economic Modelling.
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2009An intelligent-agent-based fuzzy group decision making model for financial multicriteria decision support: The case of credit scoring In: European Journal of Operational Research.
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2016Fuzzy multi-period portfolio selection with different investment horizons In: European Journal of Operational Research.
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2008Forecasting crude oil price with an EMD-based neural network ensemble learning paradigm In: Energy Economics.
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2009Estimating the impact of extreme events on crude oil price: An EMD-based event analysis method In: Energy Economics.
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2014A compressed sensing based AI learning paradigm for crude oil price forecasting In: Energy Economics.
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2015Linear and nonlinear Granger causality investigation between carbon market and crude oil market: A multi-scale approach In: Energy Economics.
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2017A deep learning ensemble approach for crude oil price forecasting In: Energy Economics.
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2015Carbon emissions trading scheme exploration in China: A multi-agent-based model In: Energy Policy.
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2018A randomized-algorithm-based decomposition-ensemble learning methodology for energy price forecasting In: Energy.
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2021An effective rolling decomposition-ensemble model for gasoline consumption forecasting In: Energy.
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2011A novel seasonal decomposition based least squares support vector regression ensemble learning approach for hydropower consumption forecasting in China In: Energy.
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2012Crude oil price analysis and forecasting using wavelet decomposed ensemble model In: Energy.
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2015Electricity price forecasting with a BED (Bivariate EMD Denoising) methodology In: Energy.
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2020Dependences and volatility spillovers between the oil and stock markets: New evidence from the copula and VAR-BEKK-GARCH models In: International Review of Financial Analysis.
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2019Online big data-driven oil consumption forecasting with Google trends In: International Journal of Forecasting.
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2016Multiscale dependence analysis and portfolio risk modeling for precious metal markets In: Resources Policy.
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2020Risk forecasting in the crude oil market: A multiscale Convolutional Neural Network approach In: Physica A: Statistical Mechanics and its Applications.
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2020Can machine learning paradigm improve attribute noise problem in credit risk classification? In: International Review of Economics & Finance.
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2017Impact of Energy Conservation and Emissions Reduction Policy Means Coordination on Economic Growth: Quantitative Evidence from China In: Sustainability.
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2014Pricing Scheme of Ocean Carrier for Inbound Container Storage for Assistance of Container Supply Chain Finance In: Discrete Dynamics in Nature and Society.
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2014Credit Risk Evaluation with a Least Squares Fuzzy Support Vector Machines Classifier In: Discrete Dynamics in Nature and Society.
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2015Dynamic volatility spillover effect analysis between carbon market and crude oil market: a DCC-ICSS approach In: International Journal of Global Energy Issues.
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2020Linkages and Spillovers between Internet Finance and Traditional Finance: Evidence from China In: Emerging Markets Finance and Trade.
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2012Genetic algorithm-based multi-criteria project portfolio selection In: Annals of Operations Research.
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2015Intelligent knowledge management in operations research In: Annals of Operations Research.
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2015Social credit: a comprehensive literature review In: Financial Innovation.
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2020On product of positive L-R fuzzy numbers and its application to multi-period portfolio selection problems In: Fuzzy Optimization and Decision Making.
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2007Foreign-Exchange-Rate Forecasting With Artificial Neural Networks In: International Series in Operations Research and Management Science.
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2020Constructing Composite Indicators with Collective Choice and Interval-Valued TOPSIS: The Case of Value Measure In: Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement.
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2020Correction to: Constructing Composite Indicators with Collective Choice and Interval-Valued TOPSIS: The Case of Value Measure In: Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement.
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2008Bio-Inspired Credit Risk Analysis In: Springer Books.
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2012A fuzzy multi-objective model for capacity allocation and pricing policy of provider in data communication service with different QoS levels In: International Journal of Systems Science.
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2014The clustering-based case-based reasoning for imbalanced business failure prediction: a hybrid approach through integrating unsupervised process with supervised process In: International Journal of Systems Science.
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2017Ensemble Forecasting for Complex Time Series Using Sparse Representation and Neural Networks In: Journal of Forecasting.
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2018Quantile estimators with orthogonal pinball loss function In: Journal of Forecasting.
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2017Forecasting Oil Price Trends with Sentiment of Online News Articles In: Asia-Pacific Journal of Operational Research (APJOR).
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2006GUEST EDITORS INTRODUCTION: PROGRESS IN RISK MANAGEMENT In: International Journal of Information Technology & Decision Making (IJITDM).
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2006CURRENCY CRISIS FORECASTING WITH GENERAL REGRESSION NEURAL NETWORKS In: International Journal of Information Technology & Decision Making (IJITDM).
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2007NEURAL NETWORKS IN FINANCE AND ECONOMICS FORECASTING In: International Journal of Information Technology & Decision Making (IJITDM).
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2009A MODIFIED LEAST SQUARES SUPPORT VECTOR MACHINE CLASSIFIER WITH APPLICATION TO CREDIT RISK ANALYSIS In: International Journal of Information Technology & Decision Making (IJITDM).
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2009GUEST EDITORS INTRODUCTION: RISK MEASUREMENT AND RISK CORRELATION ANALYSIS In: International Journal of Information Technology & Decision Making (IJITDM).
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2013AN INTEGRATED DATA CHARACTERISTIC TESTING SCHEME FOR COMPLEX TIME SERIES DATA EXPLORATION In: International Journal of Information Technology & Decision Making (IJITDM).
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2015A Novel CEEMD-Based EELM Ensemble Learning Paradigm for Crude Oil Price Forecasting In: International Journal of Information Technology & Decision Making (IJITDM).
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2016Prediction-Based Multi-Objective Optimization for Oil Purchasing and Distribution with the NSGA-II Algorithm In: International Journal of Information Technology & Decision Making (IJITDM).
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2017Importance Sampling for Credit Portfolio Risk with Risk Factors Having t-Copula In: International Journal of Information Technology & Decision Making (IJITDM).
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2019Forecasting Chinese Stock Market Prices using Baidu Search Index with a Learning-Based Data Collection Method In: International Journal of Information Technology & Decision Making (IJITDM).
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2011FORECASTING THE CRUDE OIL SPOT PRICE BY WAVELET NEURAL NETWORKS USING OECD PETROLEUM INVENTORY LEVELS In: New Mathematics and Natural Computation (NMNC).
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article1
2011AN INTEGRATED MODEL USING WAVELET DECOMPOSITION AND LEAST SQUARES SUPPORT VECTOR MACHINES FOR MONTHLY CRUDE OIL PRICES FORECASTING In: New Mathematics and Natural Computation (NMNC).
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