Flexshares Credit Scored Corporate Etf Market Value

SKOR Etf  USD 46.93  0.06  0.13%   
FlexShares Credit's market value is the price at which a share of FlexShares Credit trades on a public exchange. It measures the collective expectations of FlexShares Credit Scored Corporate investors about its performance. FlexShares Credit is selling at 46.93 as of the 23rd of April 2024; that is 0.13% increase since the beginning of the trading day. The etf's lowest day price was 46.84.
With this module, you can estimate the performance of a buy and hold strategy of FlexShares Credit Scored Corporate and determine expected loss or profit from investing in FlexShares Credit over a given investment horizon. Check out FlexShares Credit Correlation, FlexShares Credit Volatility and FlexShares Credit Alpha and Beta module to complement your research on FlexShares Credit.
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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.
0.00
01/24/2024
No Change 0.00  0.0 
In 3 months and 1 day
04/23/2024
0.00
If you would invest  0.00  in FlexShares Credit on January 24, 2024 and sell it all today you would earn a total of 0.00 from holding FlexShares Credit Scored Corporate or generate 0.0% return on investment in FlexShares Credit over 90 days. FlexShares Credit is related to or competes with IShares IBonds, IShares IBonds, and IShares 25. The underlying index reflects the performance of a broad universe of intermediate maturity, US-dollar denominated invest... 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 Corporate upside and downside potential and time the market with a certain degree of confidence.

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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of FlexShares Credit'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.
Hype
Prediction
LowEstimatedHigh
46.6646.9347.20
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Intrinsic
Valuation
LowRealHigh
46.7347.0047.27
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as FlexShares Credit. Your research has to be compared to or analyzed against FlexShares Credit's peers to derive any actionable benefits. When done correctly, FlexShares Credit's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in FlexShares Credit.

FlexShares Credit Backtested Returns

FlexShares Credit secures Sharpe Ratio (or Efficiency) of -0.0231, which denotes the etf had a -0.0231% return per unit of risk over the last 3 months. FlexShares Credit Scored Corporate exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm FlexShares Credit's Mean Deviation of 0.1918, standard deviation of 0.2604, and Variance of 0.0678 to check the risk estimate we provide. The etf shows a Beta (market volatility) of 0.21, 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

    
  -0.02  

Very weak reverse predictability

FlexShares Credit Scored Corporate has very weak reverse predictability. Overlapping area represents the amount of predictability between FlexShares Credit time series from 24th of January 2024 to 9th of March 2024 and 9th of March 2024 to 23rd of April 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 -0.02 indicates that only 2.0% of current FlexShares Credit price fluctuation can be explain by its past prices.
Correlation Coefficient-0.02
Spearman Rank Test0.22
Residual Average0.0
Price Variance0.07

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 Corporate.
   Regressed Prices   
       Timeline  

Currently Active Assets on Macroaxis

When determining whether FlexShares Credit is a strong investment it is important to analyze FlexShares Credit's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact FlexShares Credit's future performance. For an informed investment choice regarding FlexShares Etf, refer to the following important reports:
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 Portfolio Analyzer module to portfolio analysis module that provides access to portfolio diagnostics and optimization engine.
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.
A focus of FlexShares Credit technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of FlexShares Credit trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...