Direxion Daily LMT Bear 1X ETF (LMTS) seeks to provide inverse daily performance of Lockheed Martin Corporation (LMT) stock, meaning it aims to move opposite to LMT's daily price movements. This single-stock inverse ETF targets one of the largest U.S. defense contractors specializing in aerospace, arms, defense, and advanced technologies.
How It Works
LMTS uses derivatives including swap agreements and futures contracts to achieve -1x the daily performance of Lockheed Martin stock. The fund rebalances daily to maintain its inverse exposure, resetting the leverage ratio each trading day. As an actively managed inverse ETF, it doesn't hold the underlying stock but instead uses financial instruments to create synthetic short exposure. Holdings consist primarily of cash collateral and derivative positions rather than equity securities.
Key Features
- Provides precise -1x daily inverse exposure to single defense stock without requiring margin account or short-selling capabilities
- Daily rebalancing ensures consistent inverse relationship but creates compounding effects unsuitable for multi-day holding periods
- Zero expense ratio makes it cost-effective for short-term tactical trades against Lockheed Martin's stock price movements
Risks
- This ETF can lose value if Lockheed Martin stock rises, with losses potentially exceeding gains due to daily compounding effects over multiple days
- Daily reset mechanism means holding longer than one day creates path-dependent returns that deviate significantly from simple inverse performance expectations
- Single-stock concentration risk means company-specific news, defense contract awards, or geopolitical events can cause extreme volatility in either direction
Who Should Own This
Designed exclusively for sophisticated day traders and tactical investors with high risk tolerance seeking short-term hedges or directional bets against Lockheed Martin. Maximum recommended holding period is one trading day. Suitable only as a small tactical allocation (1-3% maximum) for experienced investors who understand derivative mechanics and compounding risks.