Advantages of ESG Indexes Compared to Traditional Ones in Predicting Stock Prices
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41110%2F25%3A106220" target="_blank" >RIV/60460709:41110/25:106220 - isvavai.cz</a>
Result on the web
<a href="https://onlinelibrary.wiley.com/doi/abs/10.1002/csr.3149?getft_integrator=clarivate&utm_source=clarivate&utm_source=clarivate" target="_blank" >https://onlinelibrary.wiley.com/doi/abs/10.1002/csr.3149?getft_integrator=clarivate&utm_source=clarivate&utm_source=clarivate</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1002/csr.3149" target="_blank" >10.1002/csr.3149</a>
Alternative languages
Result language
angličtina
Original language name
Advantages of ESG Indexes Compared to Traditional Ones in Predicting Stock Prices
Original language description
This paper investigates the predictability of traditional and ESG indices in the Ukrainian stock market, examining potential differences between models. The study tests two hypotheses: (H1) ESG indices exhibit lower predictability than traditional indices, and (H2) different forecasting models should be applied to ESG and conventional indices. Various forecasting models, including AR, ARIMA, ARCH, GARCH, TGARCH, Logit, and Probit regressions, are employed, along with additional tests, using daily data from the Ukrainian stock market (UX, PFTS, and WIG indices) spanning 2015-2022. The findings confirm both hypotheses for the case of returns, indicating less predictability for ESG indices and the need for distinct models. For volatility, there is limited evidence supporting Hypothesis 1, but Hypothesis 2 is confirmed. Possible factors explaining the results include higher information transparency, liquidity, and trading activity in ESG indices. The research has implications for academics and practitioners, emphasizing the importance of employing different models for forecasting ESG and traditional indices. It also highlights the preference for traditional indices in trading and speculative activities. The study suggests that a shift toward ESG indices represents a move toward more efficient markets.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
50202 - Applied Economics, Econometrics
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Corporate Social Responsibility and Environmental Management
ISSN
1535-3958
e-ISSN
1535-3958
Volume of the periodical
32
Issue of the periodical within the volume
3
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
15
Pages from-to
3545-3559
UT code for WoS article
001412857200001
EID of the result in the Scopus database
2-s2.0-85216762882