Empirical Analysis of Natural Gas Markets
Recent 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 l...
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| Format: | Online |
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| Langue: | anglais |
| Publié: |
MDPI - Multidisciplinary Digital Publishing Institute
2021
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| Sujets: | |
| Accès en ligne: | ONIX_20210501_9783039431366_911 |
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| _version_ | 1869526879226036224 |
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| collection | Directory of Open Access Books |
| description | Recent 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. |
| format | Online |
| id | doab-20.500.12854ir-69165 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-691652024-03-29T19:31:05Z Empirical Analysis of Natural Gas Markets Hamori, Shigeyuki Anderson, David A. spillover effect market integration natural gas market time frequency dynamics BRICS exchange rates connectedness time domain frequency domain natural gas crude oil electricity utilities sector index time–frequency dynamics ESG renewable energy copula value-at-risk electricity spot futures transmission pipelines external cost health property damage bodily injury uncertainty insurance coal spillover effects dynamic approaches forecasting logistic regression random forests support vector machines US natural gas crises XGboost neural networks oil futures prices crashes foresting logistical regression extreme gradient boosting moving window SVAR oil price gas price US macroeconomic aggregates GDP CPI thema EDItEUR::K Economics, Finance, Business and Management Recent 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. 2021-05-01T15:42:49Z 2021-05-01T15:42:49Z 2020 book ONIX_20210501_9783039431366_911 9783039431366 9783039431373 https://directory.doabooks.org/handle/20.500.12854/69165 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/pdfview/book/2937 https://mdpi.com/books/pdfview/book/2937 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-03943-137-3 10.3390/books978-3-03943-137-3 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783039431366 9783039431373 200 Basel, Switzerland open access |
| spellingShingle | spillover effect market integration natural gas market time frequency dynamics BRICS exchange rates connectedness time domain frequency domain natural gas crude oil electricity utilities sector index time–frequency dynamics ESG renewable energy copula value-at-risk electricity spot futures transmission pipelines external cost health property damage bodily injury uncertainty insurance coal spillover effects dynamic approaches forecasting logistic regression random forests support vector machines US natural gas crises XGboost neural networks oil futures prices crashes foresting logistical regression extreme gradient boosting moving window SVAR oil price gas price US macroeconomic aggregates GDP CPI thema EDItEUR::K Economics, Finance, Business and Management Empirical Analysis of Natural Gas Markets |
| title | Empirical Analysis of Natural Gas Markets |
| title_full | Empirical Analysis of Natural Gas Markets |
| title_fullStr | Empirical Analysis of Natural Gas Markets |
| title_full_unstemmed | Empirical Analysis of Natural Gas Markets |
| title_short | Empirical Analysis of Natural Gas Markets |
| title_sort | empirical analysis of natural gas markets |
| topic | spillover effect market integration natural gas market time frequency dynamics BRICS exchange rates connectedness time domain frequency domain natural gas crude oil electricity utilities sector index time–frequency dynamics ESG renewable energy copula value-at-risk electricity spot futures transmission pipelines external cost health property damage bodily injury uncertainty insurance coal spillover effects dynamic approaches forecasting logistic regression random forests support vector machines US natural gas crises XGboost neural networks oil futures prices crashes foresting logistical regression extreme gradient boosting moving window SVAR oil price gas price US macroeconomic aggregates GDP CPI thema EDItEUR::K Economics, Finance, Business and Management |
| topic_facet | spillover effect market integration natural gas market time frequency dynamics BRICS exchange rates connectedness time domain frequency domain natural gas crude oil electricity utilities sector index time–frequency dynamics ESG renewable energy copula value-at-risk electricity spot futures transmission pipelines external cost health property damage bodily injury uncertainty insurance coal spillover effects dynamic approaches forecasting logistic regression random forests support vector machines US natural gas crises XGboost neural networks oil futures prices crashes foresting logistical regression extreme gradient boosting moving window SVAR oil price gas price US macroeconomic aggregates GDP CPI thema EDItEUR::K Economics, Finance, Business and Management |
| url | ONIX_20210501_9783039431366_911 |