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Spillover and leverage effect in Smart Beta Exchange Traded Funds: Evidence from India

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Abstract

This study is unique in examining the spillover and leverage effect of Smart Beta Exchange Traded Funds (SB ETFs) and their underlying indices and Cap-Weighted (CW) indices. We find unidirectional return spillover from most SB ETFs to CW indices and bidirectional return spillover between SB ETFs and SB indices using VAR/VECM model. Besides, we find that information is transmitted faster from SB ETFs to the indices than from indices to SB ETFs. Interestingly, we observe that innovations in SB ETFs explain 97% of variance in SB indices and 81% of variance in CW indices. Hasbrouck’s information share of SB ETFs is highest (88%) followed by CW indices (5.6%). ARIMA-GARCH model shows that bidirectional volatility spillover exists between SB ETFs and the indices. ARIMA-EGARCH model provides evidence of leverage effect in SB ETFs, highlighting that volatility increases more after negative shocks than after positive shocks. Our study provides evidence of greater information transmission from SB ETFs to SB indices and to CW indices.

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Abbreviations

ACF:

Autocorrelation function

ADF:

Augmented Dickey Fuller

AIA:

Adaptive investment approach

AIC:

Akaike information criteria

AMC:

Asset management companies

AMFI:

Association of Mutual Funds in India

AMH:

Adaptive market hypothesis

ARCH:

Autoregressive conditional heteroscedasticity

ARCH LM:

Autoregressive conditional heteroscedasticity Lagrange multiplier

ARIMA:

Autoregressive integrated moving average

AUM:

Assets under management

BM CW index:

Benchmark cap-weighted index

BM SB index:

Benchmark smart beta index

CW:

Cap-weighted

CW ETFs:

Cap-weighted exchange traded funds

EGARCH:

Exponential generalised autoregressive conditional heteroscedasticity

ETFs:

Exchange traded funds

GARCH:

Generalised autoregressive conditional heteroscedasticity

HQ:

Hanann–Quinn

IR:

Information ratio

JA:

Jensen’s alpha

NAV:

Net asset value

NSE:

National stock exchange

PACF:

Partial autocorrelation function

RBI:

Reserve Bank of India

SB:

Smart beta

SB ETFs:

Smart beta exchange traded funds

SD:

Standard Deviation

SEBI:

Securities and Exchange Board of India

SIC:

Schwarz information criteria

TB:

Treasury bill

VAR:

Vector auto regression

VECM:

Vector error correction model

R e t :

Logarithmic return of the SB ETF at time t

R m t :

Logarithmic return of the underlying SB index at time t

R m 2 t :

Logarithmic return of the CW index associated with the respective SB index at time t

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Funding

This study was funded by the Ministry of Education (MoE), India.

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Contributions

All authors contributed to the study conception and design. The conceptualisation and methodology were performed by CV and MT the formal analysis and investigation as well as writing—original draft preparation was performed by CV; writing—review and editing was undertaken by MT; the funding acquisition and supervision was performed by MT. All authors read and approved the final manuscript.

Corresponding author

Correspondence to C. Vijaya.

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Conflict of interest

The authors have no relevant financial or non-financial interests to disclose. The authors have no competing interests to declare that are relevant to the content of this article. All authors certify that they have no affiliations with or involvement in any organisation or entity with any financial interest or non-financial interest in the subject matter or materials discussed in this manuscript. The authors have no financial or proprietary interests in any material discussed in this article.

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Vijaya, C., Thenmozhi, M. Spillover and leverage effect in Smart Beta Exchange Traded Funds: Evidence from India. Decision (2024). https://doi.org/10.1007/s40622-024-00376-1

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  • DOI: https://doi.org/10.1007/s40622-024-00376-1

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