Macquarie Etf Trust Etf Market Value
| BILD Etf | 26.04 0.18 0.70% |
| Symbol | Macquarie |
The market value of Macquarie ETF Trust is measured differently than its book value, which is the value of Macquarie that is recorded on the company's balance sheet. Investors also form their own opinion of Macquarie ETF's value that differs from its market value or its book value, called intrinsic value, which is Macquarie ETF's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Macquarie ETF's market value can be influenced by many factors that don't directly affect Macquarie ETF's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Macquarie ETF's value and its price as these two are different measures arrived at by different means. Investors typically determine if Macquarie ETF is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Macquarie ETF's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
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.
| 10/26/2024 |
| 11/25/2024 |
If you would invest 0.00 in Macquarie ETF on October 26, 2024 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 30 days. Macquarie ETF is related to or competes with Global X, and SPDR SP. 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 | (0.18) | |||
| Maximum Drawdown | 4.21 | |||
| Value At Risk | (1.30) | |||
| Potential Upside | 1.09 |
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 | (0.01) | |||
| Jensen Alpha | (0.04) | |||
| Total Risk Alpha | (0.15) | |||
| Treynor Ratio | (0.20) |
Macquarie ETF Trust Backtested Returns
Macquarie ETF Trust has Sharpe Ratio of -0.0613, which conveys that the entity had a -0.0613% return per unit of risk over the last 3 months. Macquarie ETF exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please verify Macquarie ETF's Mean Deviation of 0.6137, risk adjusted performance of (0.01), and Standard Deviation of 0.7879 to check out the risk estimate we provide. The etf secures a Beta (Market Risk) of 0.12, which conveys not very significant fluctuations relative to the market. 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 | -0.42 |
Modest reverse predictability
Macquarie ETF Trust has modest reverse predictability. Overlapping area represents the amount of predictability between Macquarie ETF time series from 26th of October 2024 to 10th of November 2024 and 10th of November 2024 to 25th of November 2024. 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 -0.42 indicates that just about 42.0% of current Macquarie ETF price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.42 | |
| Spearman Rank Test | -0.53 | |
| Residual Average | 0.0 | |
| Price Variance | 0.06 |
Macquarie ETF Trust lagged returns against current returns
Autocorrelation, which is Macquarie ETF etf's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Macquarie ETF's etf expected returns. We can calculate the autocorrelation of Macquarie ETF returns to help us make a trade decision. For example, suppose you find that Macquarie ETF has exhibited high autocorrelation historically, and you observe that the etf is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
Macquarie ETF regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Macquarie ETF etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Macquarie ETF etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Macquarie ETF etf over time.
Current vs Lagged Prices |
| Timeline |
Macquarie ETF Lagged Returns
When evaluating Macquarie ETF's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Macquarie ETF etf have on its future price. Macquarie ETF autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Macquarie ETF autocorrelation shows the relationship between Macquarie ETF etf current value and its past values and can show if there is a momentum factor associated with investing in Macquarie ETF Trust.
Regressed Prices |
| Timeline |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.When determining whether Macquarie ETF Trust offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Macquarie ETF's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Macquarie Etf Trust Etf. Outlined below are crucial reports that will aid in making a well-informed decision on Macquarie Etf Trust Etf:Check out Macquarie ETF Correlation, Macquarie ETF Volatility and Macquarie ETF Alpha and Beta module to complement your research on Macquarie ETF. You can also try the Idea Analyzer module to analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas.
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.