ProfessorsProfessors of Uniwersytet w BialymstokuElżbieta Majewska

Elżbieta Majewska

Uniwersytet w Bialymstoku

H-index: 10

Europe-Poland

About Elżbieta Majewska

Elżbieta Majewska, With an exceptional h-index of 10 and a recent h-index of 7 (since 2020), a distinguished researcher at Uniwersytet w Bialymstoku, specializes in the field of ekonometria finansowa, finanse empiryczne, kryzysy finansowe, integracja rynków finansowych.

His recent articles reflect a diverse array of research interests and contributions to the field:

Extended Hellwig’s Method Utilizing Entropy-Based Weights and Mahalanobis Distance: Applications in Evaluating Sustainable Development in the Education Area

Ranking stock markets informational (in) efficiency during the COVID-19 pandemic

Approximate entropy and sample entropy algorithms in financial time series analyses

Regularity in Stock Market Indices within Turbulence Periods: The Sample Entropy Approach

Extracting Common Factors from Liquidity Measures with Principal Component Analysis on the Polish Stock Market

Assessing Commonality in Liquidity with Principal Component Analysis: The Case of the Warsaw Stock Exchange

Elżbieta Majewska Information

University	Uniwersytet w Bialymstoku
Position	___
Citations(all)	291
Citations(since 2020)	131
Cited By	200
hIndex(all)	10
hIndex(since 2020)	7
i10Index(all)	13
i10Index(since 2020)	4
Email	Access Email
University Profile Page	Uniwersytet w Bialymstoku
Google Scholar	View Google Scholar Profile

Elżbieta Majewska Skills & Research Interests

ekonometria finansowa

finanse empiryczne

kryzysy finansowe

integracja rynków finansowych

Top articles of Elżbieta Majewska

Title	Journal	Author(s)	Publication Date
Extended Hellwig’s Method Utilizing Entropy-Based Weights and Mahalanobis Distance: Applications in Evaluating Sustainable Development in the Education Area	Entropy	Ewa Roszkowska Marzena Filipowicz-Chomko Anna Łyczkowska-Hanćkowiak Elżbieta Majewska	2024/2/25
Ranking stock markets informational (in) efficiency during the COVID-19 pandemic		Joanna Olbrys Elzbieta Majewska	2022/7/7
Approximate entropy and sample entropy algorithms in financial time series analyses	Procedia Computer Science	Joanna Olbrys Elzbieta Majewska	2022/1/1
Regularity in Stock Market Indices within Turbulence Periods: The Sample Entropy Approach	Entropy	Joanna Olbryś Elżbieta Majewska	2022
Extracting Common Factors from Liquidity Measures with Principal Component Analysis on the Polish Stock Market		Joanna Olbrys Elzbieta Majewska	2021
Assessing Commonality in Liquidity with Principal Component Analysis: The Case of the Warsaw Stock Exchange	Journal of Risk and Financial Management	Joanna Olbryś Elżbieta Majewska	2020/12/21