Macquarie Etf Trust Etf Market Value
PWER Etf | 29.59 0.14 0.48% |
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.
01/31/2024 |
| 11/26/2024 |
If you would invest 0.00 in Macquarie ETF on January 31, 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 300 days. Macquarie ETF is related to or competes with IShares Dividend, Martin Currie, VictoryShares THB, Mast Global, AdvisorShares Gerber, Amplify ETF, and Tidal ETF. 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 | 1.59 | |||
Information Ratio | (0.03) | |||
Maximum Drawdown | 5.39 | |||
Value At Risk | (2.48) | |||
Potential Upside | 1.84 |
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 | 0.0611 | |||
Jensen Alpha | 0.0932 | |||
Total Risk Alpha | (0.11) | |||
Sortino Ratio | (0.02) | |||
Treynor Ratio | (1.34) |
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 Trust Backtested Returns
Currently, Macquarie ETF Trust is very steady. Macquarie ETF Trust has Sharpe Ratio of 0.0747, which conveys that the entity had a 0.0747% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Macquarie ETF, which you can use to evaluate the volatility of the etf. Please verify Macquarie ETF's Mean Deviation of 0.9292, downside deviation of 1.59, and Risk Adjusted Performance of 0.0611 to check out if the risk estimate we provide is consistent with the expected return of 0.0956%. The etf secures a Beta (Market Risk) of -0.0639, which conveys not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Macquarie ETF are expected to decrease at a much lower rate. During the bear market, Macquarie ETF is likely to outperform the market.
Auto-correlation | 0.29 |
Poor predictability
Macquarie ETF Trust has poor predictability. Overlapping area represents the amount of predictability between Macquarie ETF time series from 31st of January 2024 to 29th of June 2024 and 29th of June 2024 to 26th 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 0.29 indicates that nearly 29.0% of current Macquarie ETF price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.29 | |
Spearman Rank Test | 0.45 | |
Residual Average | 0.0 | |
Price Variance | 0.8 |
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 |
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
0.68 | XLE | Energy Select Sector | PairCorr |
0.71 | VDE | Vanguard Energy Index | PairCorr |
0.67 | XOP | SPDR SP Oil | PairCorr |
0.62 | OIH | VanEck Oil Services | PairCorr |
0.7 | 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 Alpha and Beta module to complement your research on Macquarie ETF. You can also try the Bollinger Bands module to use Bollinger Bands indicator to analyze target price for a given investing horizon.
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.