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H index
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i10 index
36
Citations
University of Texas-El Paso | 1 H index 1 i10 index 36 Citations RESEARCH PRODUCTION: 2 Articles RESEARCH ACTIVITY:
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Works with: Authors registered in RePEc who have co-authored more than one work in the last five years with Daniel J. Pastor. | Is cited by: | Cites to: |
Year | Title of citing document |
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2022 | Forecasting renewable energy stock volatility using short and long-term Markov switching GARCH-MIDAS models: Either, neither or both?. (2022). Wang, LU ; Wu, Jiangbin ; Cao, Yang ; Hong, Yanran. In: Energy Economics. RePEc:eee:eneeco:v:111:y:2022:i:c:s0140988322002237. Full description at Econpapers || Download paper |
2022 | Forecasting crude oil volatility with exogenous predictors: As good as it GETS?. (2022). Bonnier, Jean-Baptiste. In: Energy Economics. RePEc:eee:eneeco:v:111:y:2022:i:c:s0140988322002249. Full description at Econpapers || Download paper |
2021 | Modelling the volatility of TOCOM energy futures: A regime switching realised volatility approach. (2021). Marsh, Ian W ; Huang, Chih-Yueh ; Alizadeh, Amir H. In: Energy Economics. RePEc:eee:eneeco:v:93:y:2021:i:c:s0140988319302063. Full description at Econpapers || Download paper |
2021 | A closer look into the global determinants of oil price volatility. (2021). Filis, George ; Gabauer, David ; Filippidis, Michail ; Chatziantoniou, Ioannis. In: Energy Economics. RePEc:eee:eneeco:v:95:y:2021:i:c:s0140988320304321. Full description at Econpapers || Download paper |
2022 | Forecasting the volatility of crude oil futures: The role of oil investor attention and its regime switching characteristics under a high-frequency framework. (2022). Suleman, Muhammad Tahir ; Niu, Zibo ; Liu, Yuanyuan ; Zhang, Hongwei ; Yin, Libo. In: Energy. RePEc:eee:energy:v:238:y:2022:i:pa:s0360544221020272. Full description at Econpapers || Download paper |
2021 | Forecasting crude oil volatility with geopolitical risk: Do time-varying switching probabilities play a role?. (2021). Ma, Feng ; Wang, LU ; Gao, Xinxin ; Hao, Jianyang. In: International Review of Financial Analysis. RePEc:eee:finana:v:76:y:2021:i:c:s1057521921000983. Full description at Econpapers || Download paper |
2021 | The predictive content of oil price and volatility: New evidence on exchange rate forecasting. (2021). Hu, Liang ; Breen, John David. In: Journal of International Financial Markets, Institutions and Money. RePEc:eee:intfin:v:75:y:2021:i:c:s1042443121001621. Full description at Econpapers || Download paper |
2022 | Forecasting: theory and practice. (2022). Shang, Han Lin ; Rubaszek, Michał ; Martinez, Andrew ; Grossi, Luigi ; Franses, Philip Hans ; Fiszeder, Piotr ; Clements, Michael ; Castle, Jennifer ; Carnevale, Claudio ; Kolassa, Stephan ; Thorarinsdottir, Thordis ; Guo, Xiaojia ; Reade, James J ; Petropoulos, Fotios ; Nikolopoulos, Konstantinos ; Koehler, Anne B ; Thomakos, Dimitrios ; Browell, Jethro ; Rapach, David E ; Modis, Theodore ; Kang, Yanfei ; Tashman, Len ; Boylan, John E ; Gunter, Ulrich ; Ramos, Patricia ; Ellison, Joanne ; Meeran, Sheik ; Richmond, Victor ; Talagala, Thiyanga S ; Bijak, Jakub ; Guidolin, Massimo ; Pinson, Pierre ; Dokumentov, Alexander ; Jeon, Jooyoung ; Bessa, Ricardo J ; Pedregal, Diego J ; de Baets, Shari ; Ziel, Florian ; Syntetos, Aris A ; Bergmeir, Christoph |
2021 | Volatility forecasting of crude oil futures based on a genetic algorithm regularization online extreme learning machine with a forgetting factor: The role of news during the COVID-19 pandemic. (2021). Yang, Cai ; Zhang, Hongwei ; Weng, Futian. In: Resources Policy. RePEc:eee:jrpoli:v:73:y:2021:i:c:s0301420721001628. Full description at Econpapers || Download paper |
2022 | Upward/downward multifractality and efficiency in metals futures markets: The impacts of financial and oil crises. (2022). Kang, Sanghoon ; Vo, Xuan Vinh ; Mensi, Walid. In: Resources Policy. RePEc:eee:jrpoli:v:76:y:2022:i:c:s0301420722000940. Full description at Econpapers || Download paper |
2022 | Impact of financial instability on international crude oil volatility: New sight from a regime-switching framework. (2022). Umar, Muhammad ; Liang, Chao ; Wang, LU ; Hong, Yanran. In: Resources Policy. RePEc:eee:jrpoli:v:77:y:2022:i:c:s0301420722001155. Full description at Econpapers || Download paper |
2022 | Testing oil price volatility during Covid-19: Global economic impact. (2022). Chang, Lei ; Baloch, Zulfiqar Ali ; Saydaliev, Hayot Berk ; Hyder, Mansoor ; Dilanchiev, Azer. In: Resources Policy. RePEc:eee:jrpoli:v:78:y:2022:i:c:s0301420722003361. Full description at Econpapers || Download paper |
2023 | What do the AI methods tell us about predicting price volatility of key natural resources: Evidence from hyperparameter tuning. (2023). Chavriya, Shubham ; Parihar, Jaya Singh ; Rao, Amar ; Srivastava, Mrinalini ; Singh, Surendar. In: Resources Policy. RePEc:eee:jrpoli:v:80:y:2023:i:c:s0301420722006924. Full description at Econpapers || Download paper |
2021 | Network diffusion of international oil volatility risk in Chinas stock market: Quantile interconnectedness modelling and shock decomposition analysis. (2021). Xia, Xiaohua ; Li, Ziruo ; Huang, Jionghao. In: International Review of Economics & Finance. RePEc:eee:reveco:v:76:y:2021:i:c:p:1-39. Full description at Econpapers || Download paper |
2021 | A Pattern New in Every Moment: The Temporal Clustering of Markets for Crude Oil, Refined Fuels, and Other Commodities. (2021). Ur, Mobeen ; Chen, James Ming. In: Energies. RePEc:gam:jeners:v:14:y:2021:i:19:p:6099-:d:642541. Full description at Econpapers || Download paper |
2023 | A model-free approach to do long-term volatility forecasting and its variants. (2023). Karmakar, Sayar ; Wu, Kejin. In: Financial Innovation. RePEc:spr:fininn:v:9:y:2023:i:1:d:10.1186_s40854-023-00466-6. Full description at Econpapers || Download paper |
2022 | Which uncertainty is powerful to forecast crude oil market volatility? New evidence. (2022). Wei, YU ; Li, Xiafei ; Chen, Wang ; Liang, Chao ; Ma, Feng. In: International Journal of Finance & Economics. RePEc:wly:ijfiec:v:27:y:2022:i:4:p:4279-4297. Full description at Econpapers || Download paper |
2023 | Do extreme shocks help forecast oil price volatility? The augmented GARCH?MIDAS approach. (2023). Lang, Qiaoqi ; Liu, Guoshan ; Ma, Feng ; Wang, LU. In: International Journal of Finance & Economics. RePEc:wly:ijfiec:v:28:y:2023:i:2:p:2056-2073. Full description at Econpapers || Download paper |
2022 | Forecasting volatilities of oil and gas assets: A comparison of GAS, GARCH, and EGARCH models. (2022). Lien, Donald ; Xu, Yingying. In: Journal of Forecasting. RePEc:wly:jforec:v:41:y:2022:i:2:p:259-278. Full description at Econpapers || Download paper |
Year | Title | Type | Cited |
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2020 | The effects of renewables portfolio standards on renewable energy generation. In: Economics Bulletin. [Full Text][Citation analysis] | article | 0 |
2018 | Forecasting crude oil price volatility In: International Journal of Forecasting. [Full Text][Citation analysis] | article | 36 |
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