Advantages of ESG Indexes Compared to Traditional Ones in Predicting Stock Prices
Identifikátory výsledku
Kód výsledku v 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>
Výsledek na webu
<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>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Advantages of ESG Indexes Compared to Traditional Ones in Predicting Stock Prices
Popis výsledku v původním jazyce
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.
Název v anglickém jazyce
Advantages of ESG Indexes Compared to Traditional Ones in Predicting Stock Prices
Popis výsledku anglicky
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.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
50202 - Applied Economics, Econometrics
Návaznosti výsledku
Projekt
—
Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2025
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Corporate Social Responsibility and Environmental Management
ISSN
1535-3958
e-ISSN
1535-3958
Svazek periodika
32
Číslo periodika v rámci svazku
3
Stát vydavatele periodika
CZ - Česká republika
Počet stran výsledku
15
Strana od-do
3545-3559
Kód UT WoS článku
001412857200001
EID výsledku v databázi Scopus
2-s2.0-85216762882