Lietf Trading Behavior During U.S. – China Trade War

Abstract This paper examines the trading behavior of investors in Leveraged and Inverse Exchange-Traded Funds (LIETFs) during the early phase of the U.S.–China tariff trade war, from January to November 2018. Using panel data models, we analyze LIETF reactions to 17 trade-war news events identified by China Briefing. The study focuses on the 12 most liquid LIETFs tracking the S&P 500 and Nasdaq-100 indices, with trade and quote data obtained from Reuters DataScope Select. Our first objective is to test whether LIETF investors’ trading activity changes significantly around trade-war announcements, and our results provide strong support for this hypothesis. To further explore trading dynamics, we construct two measures of abnormal activity—the abnormal buy–sell ratio and the abnormal order imbalance—and test whether LIETF investors can predict subsequent market movements. We find little evidence of such predictive ability. Finally, we assess short-term momentum behavior: while investors display trend-chasing in intraday intervals of less than 30 minutes, they tend to bet on reversals of the underlying indices over longer intervals. Overall, this study contributes to understanding how investors in leveraged products respond to geopolitical shocks. Given the growing asset base of U.S.-listed LIETFs and the regulatory importance of investor behavior during periods of heightened uncertainty, our findings are relevant to academics, practitioners, and market supervisors.

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Publication Details

Journal
Economics
Published
2025-12-01
DOI
https://doi.org/10.2478/eoik-2025-0100
Primary Topic
COVID-19 Pandemic Impacts
Type
article
Field-Weighted Citation Impact
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article

Lietf Trading Behavior During U.S. – China Trade War

Petko S. Kalev, Alexander Lee
Economics
COVID-19 Pandemic Impacts
article

Lietf Trading Behavior During U.S. – China Trade War

Petko S. Kalev, Alexander Lee
article en

Abstract

Abstract This paper examines the trading behavior of investors in Leveraged and Inverse Exchange-Traded Funds (LIETFs) during the early phase of the U.S.–China tariff trade war, from January to November 2018. Using panel data models, we analyze LIETF reactions to 17 trade-war news events identified by China Briefing. The study focuses on the 12 most liquid LIETFs tracking the S&P 500 and Nasdaq-100 indices, with trade and quote data obtained from Reuters DataScope Select. Our first objective is to test whether LIETF investors’ trading activity changes significantly around trade-war announcements, and our results provide strong support for this hypothesis. To further explore trading dynamics, we construct two measures of abnormal activity—the abnormal buy–sell ratio and the abnormal order imbalance—and test whether LIETF investors can predict subsequent market movements. We find little evidence of such predictive ability. Finally, we assess short-term momentum behavior: while investors display trend-chasing in intraday intervals of less than 30 minutes, they tend to bet on reversals of the underlying indices over longer intervals. Overall, this study contributes to understanding how investors in leveraged products respond to geopolitical shocks. Given the growing asset base of U.S.-listed LIETFs and the regulatory importance of investor behavior during periods of heightened uncertainty, our findings are relevant to academics, practitioners, and market supervisors.

EconomicsVol. 13(4)
University of National and World Economy (BG), Rosetta Stone (United States) (US)
Openalex Percentile: Top 54%
COVID-19 Pandemic Impacts
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