Flexshares Credit Scored Long Etf Market Value
| LKOR Etf | USD 43.08 0.31 0.71% |
| Symbol | FlexShares |
The market value of FlexShares Credit 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 Credit's value that differs from its market value or its book value, called intrinsic value, which is FlexShares Credit'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 Credit's market value can be influenced by many factors that don't directly affect FlexShares Credit'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 Credit's value and its price as these two are different measures arrived at by different means. Investors typically determine if FlexShares Credit is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, FlexShares Credit'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 Credit '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 Credit'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 Credit.
| 11/15/2024 |
| 12/15/2024 |
If you would invest 0.00 in FlexShares Credit on November 15, 2024 and sell it all today you would earn a total of 0.00 from holding FlexShares Credit Scored Long or generate 0.0% return on investment in FlexShares Credit over 30 days. FlexShares Credit is related to or competes with SPDR Barclays, FlexShares Credit, FlexShares Disciplined, FlexShares Quality, and First Trust. The underlying index reflects the performance of a broad universe of longer term maturity, US-dollar denominated investm... More
FlexShares Credit 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 Credit'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 Credit Scored Long upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.25) | |||
| Maximum Drawdown | 3.01 | |||
| Value At Risk | (1.08) | |||
| Potential Upside | 0.9393 |
FlexShares Credit Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for FlexShares Credit's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as FlexShares Credit's standard deviation. In reality, there are many statistical measures that can use FlexShares Credit historical prices to predict the future FlexShares Credit's volatility.| Risk Adjusted Performance | (0.07) | |||
| Jensen Alpha | (0.08) | |||
| Total Risk Alpha | (0.15) | |||
| Treynor Ratio | (1.09) |
FlexShares Credit Backtested Returns
FlexShares Credit secures Sharpe Ratio (or Efficiency) of -0.13, which denotes the etf had a -0.13% return per unit of risk over the last 3 months. FlexShares Credit Scored Long exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm FlexShares Credit's Mean Deviation of 0.486, variance of 0.4307, and Standard Deviation of 0.6563 to check the risk estimate we provide. The etf shows a Beta (market volatility) of 0.0671, which means not very significant fluctuations relative to the market. As returns on the market increase, FlexShares Credit's returns are expected to increase less than the market. However, during the bear market, the loss of holding FlexShares Credit is expected to be smaller as well.
Auto-correlation | -0.9 |
Excellent reverse predictability
FlexShares Credit Scored Long has excellent reverse predictability. Overlapping area represents the amount of predictability between FlexShares Credit time series from 15th of November 2024 to 30th of November 2024 and 30th of November 2024 to 15th of December 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 Credit price movement. The serial correlation of -0.9 indicates that approximately 90.0% of current FlexShares Credit price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.9 | |
| Spearman Rank Test | -0.45 | |
| Residual Average | 0.0 | |
| Price Variance | 0.21 |
FlexShares Credit lagged returns against current returns
Autocorrelation, which is FlexShares Credit 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 Credit's etf expected returns. We can calculate the autocorrelation of FlexShares Credit returns to help us make a trade decision. For example, suppose you find that FlexShares Credit 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 Credit 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 Credit etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if FlexShares Credit etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in FlexShares Credit etf over time.
Current vs Lagged Prices |
| Timeline |
FlexShares Credit Lagged Returns
When evaluating FlexShares Credit's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of FlexShares Credit etf have on its future price. FlexShares Credit 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 Credit autocorrelation shows the relationship between FlexShares Credit etf current value and its past values and can show if there is a momentum factor associated with investing in FlexShares Credit Scored Long.
Regressed Prices |
| Timeline |
Pair Trading with FlexShares Credit
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 FlexShares Credit 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 FlexShares Credit will appreciate offsetting losses from the drop in the long position's value.Moving together with FlexShares Etf
| 0.99 | BLV | Vanguard Long Term | PairCorr |
| 0.97 | BAB | Invesco Taxable Municipal | PairCorr |
| 1.0 | IGLB | iShares 10 Year | PairCorr |
| 1.0 | SPLB | SPDR Barclays Long | PairCorr |
| 0.98 | FFIU | Fieldstone UVA Uncon | PairCorr |
Moving against FlexShares Etf
| 0.84 | NVDX | T Rex 2X | PairCorr |
| 0.83 | NVDL | GraniteShares 15x Long | PairCorr |
| 0.83 | NVDU | Direxion Daily NVDA | PairCorr |
| 0.72 | USD | ProShares Ultra Semi Buyout Trend | PairCorr |
| 0.47 | FNGU | MicroSectors FANG Index | PairCorr |
The ability to find closely correlated positions to FlexShares Credit could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace FlexShares Credit 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 FlexShares Credit - 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 FlexShares Credit Scored Long to buy it.
The correlation of FlexShares Credit 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 FlexShares Credit moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if FlexShares Credit 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 FlexShares Credit 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 FlexShares Credit Correlation, FlexShares Credit Volatility and FlexShares Credit Alpha and Beta module to complement your research on FlexShares Credit. You can also try the Funds Screener module to find actively-traded funds from around the world traded on over 30 global exchanges.
FlexShares Credit 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.