Flexshares Real Assets Etf Market Value
| ASET Etf | USD 32.36 0.23 0.72% |
| Symbol | FlexShares |
The market value of FlexShares Real Assets is measured differently than its book value, which is the value of FlexShares that is recorded on the company's balance sheet. Investors also form their own opinion of FlexShares Real's value that differs from its market value or its book value, called intrinsic value, which is FlexShares Real'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 FlexShares Real's market value can be influenced by many factors that don't directly affect FlexShares Real'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 FlexShares Real's value and its price as these two are different measures arrived at by different means. Investors typically determine if FlexShares Real is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, FlexShares Real'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.
FlexShares Real '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 FlexShares Real'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 FlexShares Real.
| 12/09/2022 |
| 11/28/2024 |
If you would invest 0.00 in FlexShares Real on December 9, 2022 and sell it all today you would earn a total of 0.00 from holding FlexShares Real Assets or generate 0.0% return on investment in FlexShares Real over 720 days. FlexShares Real is related to or competes with Mackenzie Canadian, Mackenzie Large, BMO MSCI, BMO Long, and BMO Short. Under normal circumstances, the fund will invest at least 80 percent of its total assets in the securities of the underl... More
FlexShares Real 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 FlexShares Real'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 FlexShares Real Assets upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.6339 | |||
| Information Ratio | (0.20) | |||
| Maximum Drawdown | 2.39 | |||
| Value At Risk | (1.01) | |||
| Potential Upside | 0.7798 |
FlexShares Real Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for FlexShares Real's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as FlexShares Real's standard deviation. In reality, there are many statistical measures that can use FlexShares Real historical prices to predict the future FlexShares Real's volatility.| Risk Adjusted Performance | 0.0165 | |||
| Jensen Alpha | (0.04) | |||
| Total Risk Alpha | (0.09) | |||
| Sortino Ratio | (0.18) | |||
| Treynor Ratio | 0.014 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of FlexShares Real'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.
FlexShares Real Assets Backtested Returns
Currently, FlexShares Real Assets is very steady. FlexShares Real Assets secures Sharpe Ratio (or Efficiency) of 0.0435, which denotes the etf had a 0.0435% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for FlexShares Real Assets, which you can use to evaluate the volatility of the entity. Please confirm FlexShares Real's Mean Deviation of 0.4686, downside deviation of 0.6339, and Coefficient Of Variation of 3837.71 to check if the risk estimate we provide is consistent with the expected return of 0.0254%. The etf shows a Beta (market volatility) of 0.35, which means possible diversification benefits within a given portfolio. As returns on the market increase, FlexShares Real's returns are expected to increase less than the market. However, during the bear market, the loss of holding FlexShares Real is expected to be smaller as well.
Auto-correlation | -0.65 |
Very good reverse predictability
FlexShares Real Assets has very good reverse predictability. Overlapping area represents the amount of predictability between FlexShares Real time series from 9th of December 2022 to 4th of December 2023 and 4th of December 2023 to 28th 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 FlexShares Real Assets price movement. The serial correlation of -0.65 indicates that roughly 65.0% of current FlexShares Real price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.65 | |
| Spearman Rank Test | -0.47 | |
| Residual Average | 0.0 | |
| Price Variance | 1.18 |
FlexShares Real Assets lagged returns against current returns
Autocorrelation, which is FlexShares Real 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 FlexShares Real's etf expected returns. We can calculate the autocorrelation of FlexShares Real returns to help us make a trade decision. For example, suppose you find that FlexShares Real 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 |
FlexShares Real 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 FlexShares Real etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if FlexShares Real etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in FlexShares Real etf over time.
Current vs Lagged Prices |
| Timeline |
FlexShares Real Lagged Returns
When evaluating FlexShares Real's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of FlexShares Real etf have on its future price. FlexShares Real 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, FlexShares Real autocorrelation shows the relationship between FlexShares Real etf current value and its past values and can show if there is a momentum factor associated with investing in FlexShares Real Assets.
Regressed Prices |
| Timeline |
Thematic Opportunities
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Check out FlexShares Real Correlation, FlexShares Real Volatility and FlexShares Real Alpha and Beta module to complement your research on FlexShares Real. You can also try the Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
FlexShares Real 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.