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Financial Innovation|January 13, 2022
COVID-19 and instability of stock market performance: evidence from the U.SHui Hong, Zhicun Bian, Chien-Chiang LeeFinancial Innovation|January 13, 2022
COVID-19 pandemic and the crude oil market risk: hedging options with non-energy financial innovationsAfees A Salisu, Kingsley ObioraFinancial Innovation|January 13, 2022
Recent innovation in benchmark rates (BMR): evidence from influential factors on Turkish Lira Overnight Reference Interest Rate with machine learning algorithmsÖzer Depren, Mustafa Tevfik Kartal, Serpil Kılıç DeprenFinancial Innovation|January 13, 2022
Implied volatility estimation of bitcoin options and the stylized facts of option pricingNoshaba Zulfiqar, Saqib GulzarFinancial Innovation|January 13, 2022
Insights into financial technology (FinTech): a bibliometric and visual studyBo Li, Zeshui XuFinancial Innovation|August 29, 2022
Speculative bubbles and herding in cryptocurrenciesOzkan Haykir, Ibrahim YagliFinancial Innovation|January 11, 2023
COVID-19 and tourism sector stock price in Spain: medium-term relationship through dynamic regression modelsIsabel Carrillo-Hidalgo, Juan Ignacio Pulido-Fernández, José Luis Durán-Román, et al.Financial Innovation|January 16, 2023
A hybrid decision support system with golden cut and bipolar q-ROFSs for evaluating the risk-based strategic priorities of fintech lending for clean energy projectsQilong Wan, Xiaodong Miao, Chenguang Wang, et al.Financial Innovation|January 23, 2023
Novel modelling strategies for high-frequency stock trading dataXuekui Zhang, Yuying Huang, Ke Xu, et al.Financial Innovation|January 23, 2023
Do U.S. economic conditions at the state level predict the realized volatility of oil-price returns? A quantile machine-learning approachRangan Gupta, Christian PierdziochPageof 12