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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