Identifying Supply and Demand Shocks Using Dynamic Principal Component Analysis
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61384399%3A31110%2F24%3A00060607" target="_blank" >RIV/61384399:31110/24:00060607 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-031-62998-3_1" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-031-62998-3_1</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-031-62998-3_1" target="_blank" >10.1007/978-3-031-62998-3_1</a>
Alternative languages
Result language
angličtina
Original language name
Identifying Supply and Demand Shocks Using Dynamic Principal Component Analysis
Original language description
Main topics of the document: dynamic principal component analysis; supply and demand shocks
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
50206 - Finance
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Financial Markets and Corporate Reporting under Geopolitical Risks: 2022 & 2023 Annual Conference on Finance and Accounting (ACFA)
ISBN
978-3-031-62997-6
ISSN
2198-7246
e-ISSN
2198-7254
Number of pages
16
Pages from-to
1-16
Publisher name
Springer Nature Switzerland AG
Place of publication
Cham
Event location
Praha
Event date
May 1, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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