LEADER 03262nam 2200937z- 450 001 9910557304503321 005 20231214133135.0 035 $a(CKB)5400000000042811 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/69165 035 $a(EXLCZ)995400000000042811 100 $a20202105d2020 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aEmpirical Analysis of Natural Gas Markets 210 $aBasel, Switzerland$cMDPI - Multidisciplinary Digital Publishing Institute$d2020 215 $a1 electronic resource (200 p.) 311 $a3-03943-136-6 311 $a3-03943-137-4 330 $aRecent developments in the natural gas industry warrant new analysis of related issues. Environmental, social, and governance (ESG) investments have accelerated the shift away from coal as the dominant source of electricity. Its low environmental impact, reduced volume, and broad availability make liquefied natural gas (LNG) a popular alternative, during this time of transition between traditional fuels and newer options. In the United States, the shale gas revolution has made natural gas a game changer. In this book, we focus on empirical analyses of the natural gas market and its growing relevance worldwide. 606 $aEconomics, finance, business & management$2bicssc 610 $aspillover effect 610 $amarket integration 610 $anatural gas market 610 $atime frequency dynamics 610 $aBRICS 610 $aexchange rates 610 $aconnectedness 610 $atime domain 610 $afrequency domain 610 $anatural gas 610 $acrude oil 610 $aelectricity utilities sector index 610 $atime?frequency dynamics 610 $aESG 610 $arenewable energy 610 $acopula 610 $avalue-at-risk 610 $aelectricity 610 $aspot 610 $afutures 610 $atransmission 610 $apipelines 610 $aexternal cost 610 $ahealth 610 $aproperty damage 610 $abodily injury 610 $auncertainty 610 $ainsurance 610 $acoal 610 $aspillover effects 610 $adynamic approaches 610 $aforecasting 610 $alogistic regression 610 $arandom forests 610 $asupport vector machines 610 $aUS natural gas crises 610 $aXGboost 610 $aneural networks 610 $aoil futures prices crashes 610 $aforesting 610 $alogistical regression 610 $aextreme gradient boosting 610 $amoving window 610 $aSVAR 610 $aoil price 610 $agas price 610 $aUS macroeconomic aggregates 610 $aGDP 610 $aCPI 615 7$aEconomics, finance, business & management 700 $aHamori$b Shigeyuki$4edt$01265785 702 $aAnderson$b David A$4edt 702 $aHamori$b Shigeyuki$4oth 702 $aAnderson$b David A$4oth 906 $aBOOK 912 $a9910557304503321 996 $aEmpirical Analysis of Natural Gas Markets$93036773 997 $aUNINA