Leveraged ETF Rebalancing and Market Volatility in a Double Auction

Summary

This paper uses an agent-based simulation of a continuous double auction to study how leveraged ETF rebalancing trades affect the underlying market, such as a market for Nikkei 225 futures. The question is whether different trading approaches can limit the volatility increase associated with rebalancing. The work compares strategies within a proposed trading model and examines resulting price formation.

The reported finding is that increasing the minimum number of orders used in a rebalancing trade reduces its impact on underlying market prices. This suggests that dividing or spreading rebalancing activity may moderate its market effect, though the excerpt does not explain the precise execution rules. The evidence comes from simulation rather than observed live trading, and no quantitative volatility results, calibration details, or broader market conditions are provided. The finding should therefore be treated as model-based evidence, not a general guarantee about ETF rebalancing.

Key ideas

• An agent-based continuous double auction simulation examines leveraged ETF rebalancing effects.
• The study compares trading strategies intended to limit rebalancing-related volatility increases.
• Using a larger minimum number of orders is reported to reduce effects on underlying price formation.
• The excerpt provides simulation findings but not calibration details or live-market evidence.

Tags

# Trading Strategies of a Leveraged ETF in a Continuous Double Auction Market Using an Agent-Based Simulation


# Trading Strategies of a Leveraged ETF in a Continuous Double Auction Market Using an Agent-Based Simulation









A leveraged ETF is a fund aimed at achieving a rate of return several times greater than that of the underlying asset such as Nikkei 225 futures. Recently, it has been suggested that rebalancing trades of a leveraged ETF may destabilize the financial markets. An empirical study using an agent-based simulation indicated that a rebalancing trade strategy could affect the price formation of an underlying asset market. However, no leveraged ETF trading method for suppressing the increase in volatility as much as possible has yet been proposed. In this paper, we compare different strategies of trading for a proposed trading model and report the results of our investigation regarding how best to suppress an increase in market volatility. As a result, it was found that as the minimum number of orders in a rebalancing trade increases, the impact on the market price formation decreases.

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