Elasticity dynamics between VIX futures and ETPs: a quantile regression analysis of intraday and closing market behavior

Purpose The authors investigate the elasticity between VIX exchange traded products (ETPs)–including ETNs (VXX, XIV and TVIX) and ETFs (VIXY, SVXY and UVXY)–and VIX Futures. Design/methodology/approach This study applies quantile regression to uncover nonlinear elasticity dynamics in the daily price interactions between ETPs and Futures. Findings Employing decile regressions on the S&P 500 VIX Short-Term Total Return Index (SPVXSTR), the authors find that elasticity of VIX Futures to ETP prices is lower at market close but higher intraday, potentially due to liquidity differences, with peaks at the distribution’s extremes at close. VXX exhibits significantly higher elasticity than VIXY, likely due to its dominant, unhedged note structure, while XIV and SVXY show similar elasticity, and TVIX’s elasticity is half that of UVXY, reflecting its reduced leverage. These findings suggest that intraday liquidity amplifies futures responsiveness, with implications for hedging strategies during volatile closes and portfolio construction favoring dominant instruments such as VXX. Originality/value The linear relations between VIX ETPs and VIX Futures are well documented in the literature using mean-regression approaches, here estimated elasticities are assumed constant across the distribution of VIX Futures and ETPs. This study extends the analysis by employing quantile regression to capture quantile-specific elasticities, allowing for a more nuanced examination of inverse and leveraged products, where elasticity dynamics remain largely unexplored.

Authors

Institutions

Publication Details

Journal
Journal of Accounting Literature
Published
2025-11-21
DOI
https://doi.org/10.1108/jal-06-2025-0317
Primary Topic
Financial Markets and Investment Strategies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Elasticity dynamics between VIX futures and ETPs: a quantile regression analysis of intraday and closing market behavior

Michael O’Neill, Gulasekaran Rajaguru
Journal of Accounting Literature
Financial Markets and Investment Strategies
article

Elasticity dynamics between VIX futures and ETPs: a quantile regression analysis of intraday and closing market behavior

Michael O’Neill, Gulasekaran Rajaguru
article en

Abstract

Purpose The authors investigate the elasticity between VIX exchange traded products (ETPs)–including ETNs (VXX, XIV and TVIX) and ETFs (VIXY, SVXY and UVXY)–and VIX Futures. Design/methodology/approach This study applies quantile regression to uncover nonlinear elasticity dynamics in the daily price interactions between ETPs and Futures. Findings Employing decile regressions on the S&P 500 VIX Short-Term Total Return Index (SPVXSTR), the authors find that elasticity of VIX Futures to ETP prices is lower at market close but higher intraday, potentially due to liquidity differences, with peaks at the distribution’s extremes at close. VXX exhibits significantly higher elasticity than VIXY, likely due to its dominant, unhedged note structure, while XIV and SVXY show similar elasticity, and TVIX’s elasticity is half that of UVXY, reflecting its reduced leverage. These findings suggest that intraday liquidity amplifies futures responsiveness, with implications for hedging strategies during volatile closes and portfolio construction favoring dominant instruments such as VXX. Originality/value The linear relations between VIX ETPs and VIX Futures are well documented in the literature using mean-regression approaches, here estimated elasticities are assumed constant across the distribution of VIX Futures and ETPs. This study extends the analysis by employing quantile regression to capture quantile-specific elasticities, allowing for a more nuanced examination of inverse and leveraged products, where elasticity dynamics remain largely unexplored.

Journal of Accounting LiteratureVol. 47(5)
Bond University (AU), EP Analytics (United States) (US)
Openalex Percentile: Top 54%
Financial Markets and Investment Strategies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.