Macquarie Etf Trust Etf Market Value
| LRGG Etf | 27.14 0.16 0.59% |
| 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.
Understanding that Macquarie ETF's value differs from its trading price is crucial, as each reflects different aspects of the company. Evaluating whether Macquarie ETF represents a sound investment requires analyzing earnings trends, revenue growth, technical signals, industry dynamics, and expert forecasts. 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.
| 12/02/2025 |
| 03/02/2026 |
If you would invest 0.00 in Macquarie ETF on December 2, 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 First Trust, Morgan Stanley, Allianzim Large, NestYield Total, VanEck LongFlat, SPDR SP, and Collaborative Investment. Macquarie ETF is entity of United States 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.
| Information Ratio | (0.20) | |||
| Maximum Drawdown | 4.76 | |||
| Value At Risk | (1.71) | |||
| Potential Upside | 1.04 |
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 | (0.07) | |||
| Jensen Alpha | (0.16) | |||
| Total Risk Alpha | (0.20) | |||
| Treynor Ratio | (0.14) |
Macquarie ETF March 2, 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 | (0.07) | |||
| Market Risk Adjusted Performance | (0.13) | |||
| Mean Deviation | 0.6549 | |||
| Coefficient Of Variation | (1,020) | |||
| Standard Deviation | 0.917 | |||
| Variance | 0.8409 | |||
| Information Ratio | (0.20) | |||
| Jensen Alpha | (0.16) | |||
| Total Risk Alpha | (0.20) | |||
| Treynor Ratio | (0.14) | |||
| Maximum Drawdown | 4.76 | |||
| Value At Risk | (1.71) | |||
| Potential Upside | 1.04 | |||
| Skewness | (1.29) | |||
| Kurtosis | 3.31 |
Macquarie ETF Trust Backtested Returns
Macquarie ETF Trust has Sharpe Ratio of -0.14, which conveys that the entity had a -0.14 % return per unit of risk over the last 3 months. Macquarie ETF exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please verify Macquarie ETF's Standard Deviation of 0.917, risk adjusted performance of (0.07), and Mean Deviation of 0.6549 to check out the risk estimate we provide. The etf secures a Beta (Market Risk) of 0.72, which conveys possible diversification benefits within a given portfolio. As returns on the market increase, Macquarie ETF's returns are expected to increase less than the market. However, during the bear market, the loss of holding Macquarie ETF is expected to be smaller as well.
Auto-correlation | -0.51 |
Good reverse predictability
Macquarie ETF Trust has good reverse predictability. Overlapping area represents the amount of predictability between Macquarie ETF time series from 2nd of December 2025 to 16th of January 2026 and 16th of January 2026 to 2nd of March 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 -0.51 indicates that about 51.0% of current Macquarie ETF price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.51 | |
| Spearman Rank Test | -0.66 | |
| Residual Average | 0.0 | |
| Price Variance | 0.97 |
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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 ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.
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.