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Recent innovation in benchmark rates (BMR):evidence from influential factors on Turkish Lira Overnight Reference Interest Rate with machine learning algorithms

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financial Innovation 2021年第1期7卷 942-961页

作者： Öer Depren Mustafa Tevfik Kartal Serpil KılıçDepren YapıKredi Bank IstanbulTurkey borsaistanbul financial reporting and subsidiaries directorate Reşitpaşa Mahallesi Borsaİstanbul CaddesiNo:434467 IstanbulTurkey Department of Statistics Yildiz Technical UniversityIstanbulTurkey

Some countries have announced national benchmark rates,while others have been working on the recent trend in which the London Interbank Offered Rate will be retired at the end of *** that Turkey announced the Turkish Lira Overnight Reference Interest Rate(TLREF),this study examines the determinants of *** this context,three global determinants,five country-level macroeconomic determinants,and the COVID-19 pandemic are considered by using daily data between December 28,2018,and December 31,2020,by performing machine learning algorithms and Ordinary Least *** empirical results show that(1)the most significant determinant is the amount of securities bought by Central Banks;(2)country-level macroeconomic factors have a higher impact whereas global factors are less important,and the pandemic does not have a significant effect;(3)Random Forest is the most accurate prediction *** action by considering the study’s findings can help support economic growth by achieving low-level benchmark rates.

关键词： Benchmark rate Determinants Machine learning algorithms Turkey

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The role of disaggregated renewable energy consumption on income and load capacity factor:A novel inclusive sustainable growth approach

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Geoscience Frontiers 2024年第1期15卷 39-49页

作者： Ugur Korkut Pata Qiang Wang Mustafa Tevfik Kartal Arshian Sharif Osmaniye Korkut Ata University Faculty of Economics and Administrative SciencesDepartment of EconomicsMerkez80000 OsmaniyeTurkey Adnan Kassar School of Business Lebanese American UniversityBeirutLebanon School of Economics and Management China University of Petroleum(East China)Qingdao 266580People’s Republic of China Borsa Istanbul Strategic Planning Financial Reportingand Investor Relations Directorate34467İstanbulTurkey Sunway University Department of Economics&Finance Subang JayaMalaysia University of Economics and Human Sciences in Warsaw WarsawPoland

Stimulating renewable energy consumption is a major focus of the Sustainable Development Goals in combating climate change and global *** International Energy Agency estimates that renewable energy consumption should be doubled to achieve the COP21 *** this context,the question is whether renewable energy types promote the improvement of ecological quality and economic *** studies have investigated the influence of renewable energy on ecological pollution using carbon dioxide emissions or ecological footprint indicators,which only represent the pollution caused by human consumption patterns,and these indicators neglect the supply *** by this point,this study uses the LCF(Load Capacity Factor)as an environmental indicator and examines the causality relationship among different types of renewable energy,income,and environmental quality in the USA,while also incorporating employment and capital stock into the *** using the Fourier causality test with the wavelet-decomposed series,the study explores for the validity of the renewable energy-based growth hypothesis and answers to the question of whether there is a causal effect of renewable energy types on environmental *** results demonstrate that there is a bidirectional causality between total renewable energy,wood,biomass,and economic growth as well as between these renewable energy types and the LCF.

关键词： Load capacity factor Economic growth Renewable energy Fourier approximation Emvironmental quality

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