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Directional predictability and volatility spillover effect from stock market indexes to Bitcoin: evidence from developed and emerging markets

Omri Imen

2023The Journal of Risk Finance16 citationsDOI

Abstract

Purpose This paper aims to quantify the volatility spillover impact and the directional predictability from stock market indexes to Bitcoin. Design/methodology/approach Daily data of 15 developed and 15 emerging stock markets are used for the period March 2017–December 2021.; The author uses vector autoregressive (VAR) model, Granger causality test and impulse response function (IRF) to estimate the results of the study. Findings Empirical results show a significant unidirectional volatility spillover impact from emerging markets to Bitcoin and only six stock markets are powerful predictors of Bitcoin return in the short term. Additionally, there is no a difference between developed and developing markets regarding the directional predictability however there is difference in the reaction of Bitcoin return to shocks in the emerging markets compared to developed ones. Originality/value The paper proposes different econometric techniques from prior research and presents a comparative analysis between developed and emerging markets.

Topics & Concepts

Emerging marketsPredictabilityEconomicsVolatility (finance)EconometricsSpillover effectStock (firearms)Financial economicsStock marketGranger causalityVector autoregressionMonetary economicsMacroeconomicsStatisticsMechanical engineeringBiologyPaleontologyEngineeringMathematicsHorseBlockchain Technology Applications and SecurityMarket Dynamics and VolatilityComplex Systems and Time Series Analysis
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