Challenge and Research Trends of Forecasting Financial Energy
The measurement of economic entities' financial strength is one of the significant challenges of modern economic and financial research. With increased financial globalization, faster economic changes, and a new dimension of increased financial risk in the context of the COVID-19 pandemic crisi...
Saved in:
| Sonstige: | |
|---|---|
| Year of Publication: | 2022 |
| Language: | English |
| Physical Description: | 1 electronic resource (130 p.) |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| id |
993545051604498 |
|---|---|
| ctrlnum |
(CKB)5680000000037614 (oapen)https://directory.doabooks.org/handle/20.500.12854/81018 (EXLCZ)995680000000037614 |
| collection |
bib_alma |
| record_format |
marc |
| spelling |
Korol, Tomasz edt Challenge and Research Trends of Forecasting Financial Energy Basel MDPI - Multidisciplinary Digital Publishing Institute 2022 1 electronic resource (130 p.) text txt rdacontent computer c rdamedia online resource cr rdacarrier The measurement of economic entities' financial strength is one of the significant challenges of modern economic and financial research. With increased financial globalization, faster economic changes, and a new dimension of increased financial risk in the context of the COVID-19 pandemic crisis due to its biological nature and broad scope, affecting the whole world simultaneously, the issue of forecasting financial energy is gaining much more importance currently. This Special Issue entitled „Challenge and Research Trends of Forecasting Financial Energy” is devoted to the broad research area of forecasting financial energy of economic units such as enterprises, households, local governments, etc. Conceptualizing the term of financial energy, we aim to capture a wide spectrum of predicting and evaluating the financial standing, including various aspects of corporate finance, personal finance, and public finance. English Development economics & emerging economies bicssc economics of family personal finance financial energy forecasting bankruptcy of households financial health consumer finance consequences of COVID-19 farms factors determining the propensity to use external capital logistic regression classification and regression trees (CRT) Central Pomerania Poland COVID-19 pandemic company’s performance crude oil energy markets technical trading rules predictability data snooping market efficiency COVID-19 pandemic hold-up problem natural gas transit country gas wars Sustainable Development Goals (SDGs) sustainable entrepreneurship family firm managerial overconfidence financial strategy electric cars Asia ASEAN tax incentives development forecasts 3-0365-3667-1 3-0365-3668-X Korol, Tomasz oth |
| language |
English |
| format |
eBook |
| author2 |
Korol, Tomasz |
| author_facet |
Korol, Tomasz |
| author2_variant |
t k tk |
| author2_role |
Sonstige |
| title |
Challenge and Research Trends of Forecasting Financial Energy |
| spellingShingle |
Challenge and Research Trends of Forecasting Financial Energy |
| title_full |
Challenge and Research Trends of Forecasting Financial Energy |
| title_fullStr |
Challenge and Research Trends of Forecasting Financial Energy |
| title_full_unstemmed |
Challenge and Research Trends of Forecasting Financial Energy |
| title_auth |
Challenge and Research Trends of Forecasting Financial Energy |
| title_new |
Challenge and Research Trends of Forecasting Financial Energy |
| title_sort |
challenge and research trends of forecasting financial energy |
| publisher |
MDPI - Multidisciplinary Digital Publishing Institute |
| publishDate |
2022 |
| physical |
1 electronic resource (130 p.) |
| isbn |
3-0365-3667-1 3-0365-3668-X |
| illustrated |
Not Illustrated |
| work_keys_str_mv |
AT koroltomasz challengeandresearchtrendsofforecastingfinancialenergy |
| status_str |
n |
| ids_txt_mv |
(CKB)5680000000037614 (oapen)https://directory.doabooks.org/handle/20.500.12854/81018 (EXLCZ)995680000000037614 |
| carrierType_str_mv |
cr |
| is_hierarchy_title |
Challenge and Research Trends of Forecasting Financial Energy |
| author2_original_writing_str_mv |
noLinkedField |
| _version_ |
1796648820290879488 |
| fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>03174nam-a2200745z--4500</leader><controlfield tag="001">993545051604498</controlfield><controlfield tag="005">20231214133530.0</controlfield><controlfield tag="006">m o d </controlfield><controlfield tag="007">cr|mn|---annan</controlfield><controlfield tag="008">202205s2022 xx |||||o ||| 0|eng d</controlfield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(CKB)5680000000037614</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(oapen)https://directory.doabooks.org/handle/20.500.12854/81018</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(EXLCZ)995680000000037614</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Korol, Tomasz</subfield><subfield code="4">edt</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Challenge and Research Trends of Forecasting Financial Energy</subfield></datafield><datafield tag="260" ind1=" " ind2=" "><subfield code="a">Basel</subfield><subfield code="b">MDPI - Multidisciplinary Digital Publishing Institute</subfield><subfield code="c">2022</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 electronic resource (130 p.)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">computer</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">online resource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">The measurement of economic entities' financial strength is one of the significant challenges of modern economic and financial research. With increased financial globalization, faster economic changes, and a new dimension of increased financial risk in the context of the COVID-19 pandemic crisis due to its biological nature and broad scope, affecting the whole world simultaneously, the issue of forecasting financial energy is gaining much more importance currently. This Special Issue entitled „Challenge and Research Trends of Forecasting Financial Energy” is devoted to the broad research area of forecasting financial energy of economic units such as enterprises, households, local governments, etc. Conceptualizing the term of financial energy, we aim to capture a wide spectrum of predicting and evaluating the financial standing, including various aspects of corporate finance, personal finance, and public finance.</subfield></datafield><datafield tag="546" ind1=" " ind2=" "><subfield code="a">English</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Development economics & emerging economies</subfield><subfield code="2">bicssc</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">economics of family</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">personal finance</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">financial energy</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">forecasting</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">bankruptcy of households</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">financial health</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">consumer finance</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">consequences of COVID-19</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">farms</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">factors determining the propensity to use external capital</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">logistic regression</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">classification and regression trees (CRT)</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Central Pomerania</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Poland</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">COVID-19</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">pandemic</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">company’s performance</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">crude oil</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">energy markets</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">technical trading rules</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">predictability</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">data snooping</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">market efficiency</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">COVID-19 pandemic</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">hold-up problem</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">natural gas</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">transit country</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">gas wars</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Sustainable Development Goals (SDGs)</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">sustainable entrepreneurship</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">family firm</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">managerial overconfidence</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">financial strategy</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">electric cars</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Asia</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">ASEAN</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">tax incentives</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">development forecasts</subfield></datafield><datafield tag="776" ind1=" " ind2=" "><subfield code="z">3-0365-3667-1</subfield></datafield><datafield tag="776" ind1=" " ind2=" "><subfield code="z">3-0365-3668-X</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Korol, Tomasz</subfield><subfield code="4">oth</subfield></datafield><datafield tag="906" ind1=" " ind2=" "><subfield code="a">BOOK</subfield></datafield><datafield tag="ADM" ind1=" " ind2=" "><subfield code="b">2023-12-15 05:56:57 Europe/Vienna</subfield><subfield code="f">system</subfield><subfield code="c">marc21</subfield><subfield code="a">2022-05-14 21:41:54 Europe/Vienna</subfield><subfield code="g">false</subfield></datafield><datafield tag="AVE" ind1=" " ind2=" "><subfield code="i">DOAB Directory of Open Access Books</subfield><subfield code="P">DOAB Directory of Open Access Books</subfield><subfield code="x">https://eu02.alma.exlibrisgroup.com/view/uresolver/43ACC_OEAW/openurl?u.ignore_date_coverage=true&portfolio_pid=5337818040004498&Force_direct=true</subfield><subfield code="Z">5337818040004498</subfield><subfield code="b">Available</subfield><subfield code="8">5337818040004498</subfield></datafield></record></collection> |