Flexshares Iboxx 3 Year Etf Market Value
| TDTT Etf | USD 23.79 0.04 0.17% |
| Symbol | FlexShares |
The market value of FlexShares iBoxx 3 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 IBoxx's value that differs from its market value or its book value, called intrinsic value, which is FlexShares IBoxx'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 IBoxx's market value can be influenced by many factors that don't directly affect FlexShares IBoxx'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 IBoxx's value and its price as these two are different measures arrived at by different means. Investors typically determine if FlexShares IBoxx is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, FlexShares IBoxx'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 IBoxx '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 IBoxx'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 IBoxx.
| 10/26/2024 |
| 11/25/2024 |
If you would invest 0.00 in FlexShares IBoxx on October 26, 2024 and sell it all today you would earn a total of 0.00 from holding FlexShares iBoxx 3 Year or generate 0.0% return on investment in FlexShares IBoxx over 30 days. FlexShares IBoxx is related to or competes with Schwab TIPS, Vanguard Short, IShares Floating, IShares 0, and IShares Short. The underlying index reflects the performance of a selection of inflation protected public obligations of the U.S More
FlexShares IBoxx 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 IBoxx'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 iBoxx 3 Year upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.189 | |||
| Information Ratio | (0.80) | |||
| Maximum Drawdown | 0.9238 | |||
| Value At Risk | (0.21) | |||
| Potential Upside | 0.2518 |
FlexShares IBoxx Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for FlexShares IBoxx's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as FlexShares IBoxx's standard deviation. In reality, there are many statistical measures that can use FlexShares IBoxx historical prices to predict the future FlexShares IBoxx's volatility.| Risk Adjusted Performance | 0.0021 | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.03) | |||
| Sortino Ratio | (0.65) | |||
| Treynor Ratio | (0.04) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of FlexShares IBoxx'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 iBoxx 3 Backtested Returns
Currently, FlexShares iBoxx 3 Year is very steady. FlexShares iBoxx 3 secures Sharpe Ratio (or Efficiency) of 0.0317, which denotes the etf had a 0.0317% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for FlexShares iBoxx 3 Year, which you can use to evaluate the volatility of the entity. Please confirm FlexShares IBoxx's Mean Deviation of 0.1111, downside deviation of 0.189, and Coefficient Of Variation of 1808.11 to check if the risk estimate we provide is consistent with the expected return of 0.0047%. The etf shows a Beta (market volatility) of 0.035, which means not very significant fluctuations relative to the market. As returns on the market increase, FlexShares IBoxx's returns are expected to increase less than the market. However, during the bear market, the loss of holding FlexShares IBoxx is expected to be smaller as well.
Auto-correlation | 0.29 |
Poor predictability
FlexShares iBoxx 3 Year has poor predictability. Overlapping area represents the amount of predictability between FlexShares IBoxx 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 FlexShares iBoxx 3 price movement. The serial correlation of 0.29 indicates that nearly 29.0% of current FlexShares IBoxx price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.29 | |
| Spearman Rank Test | 0.65 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
FlexShares iBoxx 3 lagged returns against current returns
Autocorrelation, which is FlexShares IBoxx 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 IBoxx's etf expected returns. We can calculate the autocorrelation of FlexShares IBoxx returns to help us make a trade decision. For example, suppose you find that FlexShares IBoxx 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 IBoxx 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 IBoxx etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if FlexShares IBoxx etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in FlexShares IBoxx etf over time.
Current vs Lagged Prices |
| Timeline |
FlexShares IBoxx Lagged Returns
When evaluating FlexShares IBoxx's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of FlexShares IBoxx etf have on its future price. FlexShares IBoxx 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 IBoxx autocorrelation shows the relationship between FlexShares IBoxx etf current value and its past values and can show if there is a momentum factor associated with investing in FlexShares iBoxx 3 Year.
Regressed Prices |
| Timeline |
Thematic Opportunities
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Check out FlexShares IBoxx Correlation, FlexShares IBoxx Volatility and FlexShares IBoxx Alpha and Beta module to complement your research on FlexShares IBoxx. You can also try the Equity Valuation module to check real value of public entities based on technical and fundamental data.
FlexShares IBoxx 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.