Macquarie Etf Trust Etf Market Value
| PWER Etf | 39.81 0.57 1.45% |
| Symbol | Macquarie |
Investors evaluate Macquarie ETF Trust using market value (trading price) and book value (balance sheet equity), each telling a different story. Calculating Macquarie ETF's intrinsic value—the estimated true worth—helps identify when the stock trades at a discount or premium to fair value. Market participants employ diverse analytical approaches to determine fair value and identify buying opportunities when prices dip below calculated worth. External factors like market trends, sector rotation, and investor psychology can cause Macquarie ETF's market price to deviate significantly from intrinsic value.
It's important to distinguish between Macquarie ETF's intrinsic value and market price, which are calculated using different methodologies. Investment decisions regarding Macquarie ETF should consider multiple factors including financial performance, growth metrics, competitive position, and professional analysis. Conversely, Macquarie ETF's market price signifies the transaction level at which participants voluntarily complete trades.
Macquarie ETF 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Macquarie ETF's etf what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Macquarie ETF.
| 10/31/2025 |
| 01/29/2026 |
If you would invest 0.00 in Macquarie ETF on October 31, 2025 and sell it all today you would earn a total of 0.00 from holding Macquarie ETF Trust or generate 0.0% return on investment in Macquarie ETF over 90 days. Macquarie ETF is related to or competes with ProShares Ultra, Global X, Harbor ETF, JPMorgan Fundamental, Invesco Exchange, ProShares Ultra, and Bank of Montreal. PowerOne, Inc. engages in the design, manufacture, sale, and service of power supply solutions for the renewable energy , servers, storage and networking, telecommunications, industrials, and network power systems industries worldwide. More
Macquarie ETF Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Macquarie ETF's etf current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Macquarie ETF Trust upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.25 | |||
| Information Ratio | 0.206 | |||
| Maximum Drawdown | 4.48 | |||
| Value At Risk | (1.99) | |||
| Potential Upside | 2.09 |
Macquarie ETF Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Macquarie ETF's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Macquarie ETF's standard deviation. In reality, there are many statistical measures that can use Macquarie ETF historical prices to predict the future Macquarie ETF's volatility.| Risk Adjusted Performance | 0.1901 | |||
| Jensen Alpha | 0.2564 | |||
| Total Risk Alpha | 0.2166 | |||
| Sortino Ratio | 0.202 | |||
| Treynor Ratio | 0.3345 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Macquarie ETF's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Macquarie ETF January 29, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.1901 | |||
| Market Risk Adjusted Performance | 0.3445 | |||
| Mean Deviation | 0.9596 | |||
| Semi Deviation | 0.8415 | |||
| Downside Deviation | 1.25 | |||
| Coefficient Of Variation | 390.25 | |||
| Standard Deviation | 1.22 | |||
| Variance | 1.49 | |||
| Information Ratio | 0.206 | |||
| Jensen Alpha | 0.2564 | |||
| Total Risk Alpha | 0.2166 | |||
| Sortino Ratio | 0.202 | |||
| Treynor Ratio | 0.3345 | |||
| Maximum Drawdown | 4.48 | |||
| Value At Risk | (1.99) | |||
| Potential Upside | 2.09 | |||
| Downside Variance | 1.55 | |||
| Semi Variance | 0.7081 | |||
| Expected Short fall | (1.08) | |||
| Skewness | (0.31) | |||
| Kurtosis | (0.14) |
Macquarie ETF Trust Backtested Returns
Macquarie ETF appears to be very steady, given 3 months investment horizon. Macquarie ETF Trust has Sharpe Ratio of 0.26, which conveys that the entity had a 0.26 % return per unit of risk over the last 3 months. We have found thirty technical indicators for Macquarie ETF, which you can use to evaluate the volatility of the etf. Please exercise Macquarie ETF's Risk Adjusted Performance of 0.1901, mean deviation of 0.9596, and Downside Deviation of 1.25 to check out if our risk estimates are consistent with your expectations. The etf secures a Beta (Market Risk) of 0.91, which conveys possible diversification benefits within a given portfolio. Macquarie ETF returns are very sensitive to returns on the market. As the market goes up or down, Macquarie ETF is expected to follow.
Auto-correlation | 0.78 |
Good predictability
Macquarie ETF Trust has good predictability. Overlapping area represents the amount of predictability between Macquarie ETF time series from 31st of October 2025 to 15th of December 2025 and 15th of December 2025 to 29th of January 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Macquarie ETF Trust price movement. The serial correlation of 0.78 indicates that around 78.0% of current Macquarie ETF price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.78 | |
| Spearman Rank Test | 0.74 | |
| Residual Average | 0.0 | |
| Price Variance | 2.89 |
Pair Trading with Macquarie ETF
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Macquarie ETF position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Macquarie ETF will appreciate offsetting losses from the drop in the long position's value.Moving together with Macquarie Etf
| 0.9 | XLE | Energy Select Sector Aggressive Push | PairCorr |
| 0.9 | VDE | Vanguard Energy Index | PairCorr |
| 0.94 | OIH | VanEck Oil Services | PairCorr |
| 0.9 | IYE | iShares Energy ETF | PairCorr |
The ability to find closely correlated positions to Macquarie ETF could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Macquarie ETF when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Macquarie ETF - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Macquarie ETF Trust to buy it.
The correlation of Macquarie ETF is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Macquarie ETF moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Macquarie ETF Trust moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Macquarie ETF can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out Macquarie ETF Correlation, Macquarie ETF Volatility and Macquarie ETF Performance module to complement your research on Macquarie ETF. You can also try the Share Portfolio module to track or share privately all of your investments from the convenience of any device.
Macquarie ETF technical etf analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, etf market cycles, or different charting patterns.