BERZ, EUM, and SOXS represent three distinct inverse exchange-traded products that allow investors to seek daily returns opposite to targeted equity benchmarks. These funds do not compete within the same narrow sector but instead provide tiered risk exposures across technology innovation, emerging markets, and semiconductors. Their relevance stems from ongoing market volatility, sector rotations, and investor demand for tactical hedging tools amid shifting macroeconomic conditions. Each employs daily reset mechanisms that differentiate performance over multi-day periods from simple inverse multiples of benchmark returns.
BERZ seeks daily investment results, before fees and expenses, of 300% of the inverse of the Solactive FANG Innovation Index. The index tracks 15 large-capitalization U.S. technology stocks, including eight fixed core components (Alphabet, Amazon, Apple, Meta, Microsoft, Netflix, NVIDIA, and Tesla) plus seven additional selections based on market capitalization and liquidity criteria. The fund holds no underlying securities and is structured as an exchange-traded note (ETN) issued by Bank of Montreal. It maintains approximately 15 holdings in the tracked index, applies equal weighting, and rebalances monthly with quarterly reconstitution. The expense ratio stands at 0.95%. As a leveraged inverse ETN, BERZ resets daily and carries issuer credit risk in addition to market exposure.
EUM seeks daily investment results, before fees and expenses, that correspond to the inverse (-1x) of the daily performance of the MSCI Emerging Markets Index. The benchmark covers approximately 85% of the free float-adjusted market capitalization across emerging market countries, encompassing thousands of securities across multiple sectors and geographies. The fund employs derivatives and does not hold the underlying index constituents directly. It operates as an open-ended exchange-traded fund (ETF) with a net expense ratio of 0.95%. EUM provides broader diversification than sector-specific products and resets exposure daily, making it suitable for short-term hedging of emerging market equity declines.
SOXS seeks daily investment results, before fees and expenses, of 300% of the inverse of the NYSE Semiconductor Index. The index is a rules-based, modified float-adjusted market capitalization-weighted benchmark tracking the 30 largest U.S.-listed semiconductor companies. The fund achieves its target through swaps, futures, and other derivatives rather than direct short positions in individual stocks. It functions as an exchange-traded fund (ETF) with a 1.00% expense ratio. SOXS resets daily and exhibits high volatility due to the concentrated semiconductor theme and triple leverage, rendering it appropriate only for sophisticated, short-term tactical applications.
Technology innovation, emerging markets, and semiconductors face overlapping yet distinct pressures from global supply chain dynamics, geopolitical tensions, interest rate environments, and capital expenditure cycles in artificial intelligence and electronics. Regulatory developments in export controls and trade policies influence semiconductor and technology flows, while emerging market performance remains sensitive to currency fluctuations, commodity prices, and growth differentials versus developed economies. These macro drivers affect the underlying benchmarks of all three ETFs, creating environments where inverse products may see varying demand for hedging or directional positioning during periods of sector or regional stress.
In recent market cycles, the triple-leveraged products BERZ and SOXS have demonstrated greater sensitivity to daily movements in their concentrated benchmarks, resulting in amplified volatility and potential for larger drawdowns during adverse short-term trends compared with the single-inverse EUM. BERZ's focus on a narrow group of large technology names introduces concentration risk distinct from SOXS's semiconductor emphasis or EUM's multi-country emerging market exposure. Performance divergences arise primarily from leverage magnitude, index composition breadth, and daily compounding mechanics rather than long-term directional forecasts. Investors typically position these ETFs for brief tactical overlays rather than core allocations.
Tickeron’s AI Screener is an AI-powered stock and ETF discovery tool that helps traders and investors filter the market based on technical patterns, fundamentals, trends, volatility, and AI-driven signals. Users can scan thousands of stocks and ETFs using customizable filters such as industry, market capitalization, technical indicators, price patterns, and performance metrics. The screener helps identify trade ideas, trending stocks, breakout candidates, and market opportunities more efficiently than manual screening.
Based on observable structural characteristics, EUM presents a comparatively balanced risk-adjusted profile through its single-inverse leverage, broader geographic diversification, and ETF structure without ETN credit considerations. BERZ and SOXS offer higher-magnitude daily moves suited to narrow tactical views but carry elevated volatility and concentration. Tickeron’s AI would currently assign probabilistic preference to EUM for scenarios emphasizing stability and diversification over maximum leverage intensity.
The information on this webpage is provided for general informational and educational purposes only and is not intended as investment advice, a recommendation to purchase or sell any security, or an offer or solicitation related to investments. It does not consider your personal financial situation, goals, or risk profile, and all investing carries inherent risks, including the possibility of losing your entire investment. For more details, please review our full disclaimer.
| BERZ | EUM | SOXS | |
| Gain YTD | -68.536 | -20.315 | -92.511 |
| Net Assets | 6.39M | 13.3M | 1.76B |
| Total Expense Ratio | 0.95 | 0.95 | 1.00 |
| Turnover | N/A | 0.00 | 0.00 |
| Yield | 0.00 | 4.24 | 46.24 |
| Fund Existence | 5 years | 19 years | 17 years |
| BERZ | EUM | SOXS | |
|---|---|---|---|
| RSI ODDS (%) | N/A | N/A | N/A |
| Stochastic ODDS (%) | 3 days ago 90% | 3 days ago 82% | 3 days ago 89% |
| Momentum ODDS (%) | 3 days ago 90% | 3 days ago 75% | 3 days ago 90% |
| MACD ODDS (%) | 3 days ago 88% | 3 days ago 77% | 3 days ago 90% |
| TrendWeek ODDS (%) | 3 days ago 90% | 3 days ago 80% | 3 days ago 90% |
| TrendMonth ODDS (%) | 3 days ago 90% | 3 days ago 81% | 3 days ago 90% |
| Advances ODDS (%) | 6 days ago 89% | 6 days ago 82% | 28 days ago 88% |
| Declines ODDS (%) | 3 days ago 90% | 3 days ago 83% | 3 days ago 90% |
| BollingerBands ODDS (%) | 3 days ago 88% | 3 days ago 90% | 3 days ago 90% |
| Aroon ODDS (%) | 3 days ago 90% | 3 days ago 81% | 3 days ago 90% |
A.I.dvisor tells us that BERZ and INTC have been poorly correlated (+14% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that BERZ and INTC's prices will move in lockstep.
| Ticker / NAME | Correlation To BERZ | 1D Price Change % | ||
|---|---|---|---|---|
| BERZ | 100% | -2.35% | ||
| INTC - BERZ | 14% Poorly correlated | -0.18% | ||
| AMD - BERZ | 8% Poorly correlated | +2.70% | ||
| NFLX - BERZ | 7% Poorly correlated | -4.67% | ||
| MU - BERZ | 6% Poorly correlated | +3.92% | ||
| TSLA - BERZ | 3% Poorly correlated | -0.53% | ||
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