Flexshares Morningstar Market Etf Market Value
| TILT Etf | USD 248.69 1.84 0.73% |
| Symbol | FlexShares |
The market value of FlexShares Morningstar 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 Morningstar's value that differs from its market value or its book value, called intrinsic value, which is FlexShares Morningstar'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 Morningstar's market value can be influenced by many factors that don't directly affect FlexShares Morningstar'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 Morningstar's value and its price as these two are different measures arrived at by different means. Investors typically determine if FlexShares Morningstar is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, FlexShares Morningstar'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 Morningstar '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 Morningstar'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 Morningstar.
| 12/04/2025 |
| 01/03/2026 |
If you would invest 0.00 in FlexShares Morningstar on December 4, 2025 and sell it all today you would earn a total of 0.00 from holding FlexShares Morningstar Market or generate 0.0% return on investment in FlexShares Morningstar over 30 days. FlexShares Morningstar is related to or competes with FlexShares Quality, WisdomTree SmallCap, Nuveen ESG, Virtus InfraCap, WisdomTree Europe, First Trust, and First Trust. The index is designed to reflect the performance of a selection of companies that, in aggregate, possess greater exposur... More
FlexShares Morningstar 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 Morningstar'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 Morningstar Market upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.9585 | |||
| Information Ratio | (0.01) | |||
| Maximum Drawdown | 3.38 | |||
| Value At Risk | (1.21) | |||
| Potential Upside | 1.43 |
FlexShares Morningstar Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for FlexShares Morningstar's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as FlexShares Morningstar's standard deviation. In reality, there are many statistical measures that can use FlexShares Morningstar historical prices to predict the future FlexShares Morningstar's volatility.| Risk Adjusted Performance | 0.0473 | |||
| Jensen Alpha | 0.034 | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | (0.01) | |||
| Treynor Ratio | 0.2547 |
FlexShares Morningstar Backtested Returns
Currently, FlexShares Morningstar Market is very steady. FlexShares Morningstar secures Sharpe Ratio (or Efficiency) of 0.0428, which denotes the etf had a 0.0428 % return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for FlexShares Morningstar Market, which you can use to evaluate the volatility of the entity. Please confirm FlexShares Morningstar's Coefficient Of Variation of 1547.58, downside deviation of 0.9585, and Mean Deviation of 0.6239 to check if the risk estimate we provide is consistent with the expected return of 0.0365%. The etf shows a Beta (market volatility) of 0.17, which means not very significant fluctuations relative to the market. As returns on the market increase, FlexShares Morningstar's returns are expected to increase less than the market. However, during the bear market, the loss of holding FlexShares Morningstar is expected to be smaller as well.
Auto-correlation | 0.35 |
Below average predictability
FlexShares Morningstar Market has below average predictability. Overlapping area represents the amount of predictability between FlexShares Morningstar time series from 4th of December 2025 to 19th of December 2025 and 19th of December 2025 to 3rd 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 FlexShares Morningstar price movement. The serial correlation of 0.35 indicates that nearly 35.0% of current FlexShares Morningstar price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.35 | |
| Spearman Rank Test | 0.68 | |
| Residual Average | 0.0 | |
| Price Variance | 1.36 |
FlexShares Morningstar lagged returns against current returns
Autocorrelation, which is FlexShares Morningstar 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 Morningstar's etf expected returns. We can calculate the autocorrelation of FlexShares Morningstar returns to help us make a trade decision. For example, suppose you find that FlexShares Morningstar 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 |
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FlexShares Morningstar 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 Morningstar etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if FlexShares Morningstar etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in FlexShares Morningstar etf over time.
Current vs Lagged Prices |
| Timeline |
FlexShares Morningstar Lagged Returns
When evaluating FlexShares Morningstar's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of FlexShares Morningstar etf have on its future price. FlexShares Morningstar 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 Morningstar autocorrelation shows the relationship between FlexShares Morningstar etf current value and its past values and can show if there is a momentum factor associated with investing in FlexShares Morningstar Market.
Regressed Prices |
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Thematic Opportunities
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Check out FlexShares Morningstar Correlation, FlexShares Morningstar Volatility and FlexShares Morningstar Alpha and Beta module to complement your research on FlexShares Morningstar. You can also try the Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
FlexShares Morningstar 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.