These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
133 related articles for article (PubMed ID: 36815943)
21. Has COVID-19 changed the stock return-oil price predictability pattern? Zhang F; Narayan PK; Devpura N Financ Innov; 2021; 7(1):61. PubMed ID: 35024287 [TBL] [Abstract][Full Text] [Related]
22. Forecasting COVID-19 confirmed cases, deaths and recoveries: Revisiting established time series modeling through novel applications for the USA and Italy. Gecili E; Ziady A; Szczesniak RD PLoS One; 2021; 16(1):e0244173. PubMed ID: 33411744 [TBL] [Abstract][Full Text] [Related]
23. Volatility transmission between oil prices and banks' stock prices as a new source of instability: Lessons from the United States experience. Ehouman YA Econ Model; 2020 Sep; 91():198-217. PubMed ID: 32834330 [TBL] [Abstract][Full Text] [Related]
24. Prediction of crude oil prices in COVID-19 outbreak using real data. Öztunç Kaymak Ö; Kaymak Y Chaos Solitons Fractals; 2022 May; 158():111990. PubMed ID: 35291221 [TBL] [Abstract][Full Text] [Related]
25. Forecasting stock indices with the COVID-19 infection rate as an exogenous variable. Patwary MSA; Das KP PeerJ Comput Sci; 2023; 9():e1532. PubMed ID: 37705632 [TBL] [Abstract][Full Text] [Related]
26. Examining the linkage between economic policy uncertainty, coal price, and carbon pricing in China: Evidence from pilot carbon markets. Wang J; Dai PF; Chen XH; Nguyen DK J Environ Manage; 2024 Feb; 352():120003. PubMed ID: 38219665 [TBL] [Abstract][Full Text] [Related]
27. Stock Price Forecasting by a Deep Convolutional Generative Adversarial Network. Staffini A Front Artif Intell; 2022; 5():837596. PubMed ID: 35187477 [TBL] [Abstract][Full Text] [Related]
28. Study on the Pakistan stock market using a new stock crisis prediction method. Javid I; Ghazali R; Syed I; Zulqarnain M; Husaini NA PLoS One; 2022; 17(10):e0275022. PubMed ID: 36264851 [TBL] [Abstract][Full Text] [Related]
29. Modelling and forecasting of growth rate of new COVID-19 cases in top nine affected countries: Considering conditional variance and asymmetric effect. Ekinci A Chaos Solitons Fractals; 2021 Oct; 151():111227. PubMed ID: 34253942 [TBL] [Abstract][Full Text] [Related]
30. COVID19-MLSF: A multi-task learning-based stock market forecasting framework during the COVID-19 pandemic. Yuan C; Ma X; Wang H; Zhang C; Li X Expert Syst Appl; 2023 May; 217():119549. PubMed ID: 36694806 [TBL] [Abstract][Full Text] [Related]
31. Navigating the nexus: Geopolitical risk, fossil energy prices, and European utility stock returns - Implications for environmental management and energy security in a conflict-ridden global landscape. Yang T; Fang S; Du AM; Du Q J Environ Manage; 2024 Feb; 352():120086. PubMed ID: 38242027 [TBL] [Abstract][Full Text] [Related]
32. Forecasting COVID-19 Cases Using Alpha-Sutte Indicator: A Comparison with Autoregressive Integrated Moving Average (ARIMA) Method. Attanayake AMCH; Perera SSN Biomed Res Int; 2020; 2020():8850199. PubMed ID: 33344650 [TBL] [Abstract][Full Text] [Related]
33. Forecasting the U.S. oil markets based on social media information during the COVID-19 pandemic. Wu B; Wang L; Wang S; Zeng YR Energy (Oxf); 2021 Jul; 226():120403. PubMed ID: 34629690 [TBL] [Abstract][Full Text] [Related]
34. Fertility, mortality, migration, and population scenarios for 195 countries and territories from 2017 to 2100: a forecasting analysis for the Global Burden of Disease Study. Vollset SE; Goren E; Yuan CW; Cao J; Smith AE; Hsiao T; Bisignano C; Azhar GS; Castro E; Chalek J; Dolgert AJ; Frank T; Fukutaki K; Hay SI; Lozano R; Mokdad AH; Nandakumar V; Pierce M; Pletcher M; Robalik T; Steuben KM; Wunrow HY; Zlavog BS; Murray CJL Lancet; 2020 Oct; 396(10258):1285-1306. PubMed ID: 32679112 [TBL] [Abstract][Full Text] [Related]
35. Key factors affecting carbon prices from a time-varying perspective. Li MF; Hu H; Zhao LT Environ Sci Pollut Res Int; 2022 Sep; 29(43):65144-65160. PubMed ID: 35484451 [TBL] [Abstract][Full Text] [Related]
36. A time series forecasting analysis of overall and sector-based natural gas demand: a developing South Asian economy case. Hussain A; Memon JA; Murshed M; Alam MS; Mehmood U; Alam MN; Rahman M; Hayat U Environ Sci Pollut Res Int; 2022 Oct; 29(47):71676-71687. PubMed ID: 35606584 [TBL] [Abstract][Full Text] [Related]
37. Deep learning models for forecasting and analyzing the implications of COVID-19 spread on some commodities markets volatilities. Sadefo Kamdem J; Bandolo Essomba R; Njong Berinyuy J Chaos Solitons Fractals; 2020 Nov; 140():110215. PubMed ID: 32839644 [TBL] [Abstract][Full Text] [Related]
38. A Long Short-Term Memory Network Stock Price Prediction with Leading Indicators. Wu JM; Sun L; Srivastava G; Lin JC Big Data; 2021 Oct; 9(5):343-357. PubMed ID: 34287015 [TBL] [Abstract][Full Text] [Related]
39. A residual driven ensemble machine learning approach for forecasting natural gas prices: analyses for pre-and during-COVID-19 phases. Jana RK; Ghosh I Ann Oper Res; 2022 Jan; ():1-22. PubMed ID: 35095152 [TBL] [Abstract][Full Text] [Related]
40. Forecasting carbon emissions future prices using the machine learning methods. Shahzad U; Sengupta T; Rao A; Cui L Ann Oper Res; 2023 Feb; ():1-32. PubMed ID: 36777411 [TBL] [Abstract][Full Text] [Related] [Previous] [Next] [New Search]