Flexshares Credit Scored Long Etf Price To Sales
| LKOR Etf | USD 43.08 0.00 0.00% |
FlexShares Credit Scored Long fundamentals help investors to digest information that contributes to FlexShares Credit's financial success or failures. It also enables traders to predict the movement of FlexShares Etf. The fundamental analysis module provides a way to measure FlexShares Credit's intrinsic value by examining its available economic and financial indicators, including the cash flow records, the balance sheet account changes, the income statement patterns, and various microeconomic indicators and financial ratios related to FlexShares Credit etf.
FlexShares |
FlexShares Credit Scored Long ETF Price To Sales Analysis
FlexShares Credit's Price to Sales ratio is typically used for valuing equity relative to its own past performance as well as to performance of other companies or market indexes. In most cases, the lower the ratio, the better it is for investors. However, it is advisable for investors to exercise caution when looking at price-to-sales ratios across different industries.
The most critical factor to remember is that the price of equity takes a firm's debt into account, whereas the sales indicators do not consider financial leverage. Generally speaking, Price to Sales ratio shows how much market values every dollar of the company's sales.
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Based on the latest financial disclosure, FlexShares Credit Scored Long has a Price To Sales of 0.0 times. This is 100.0% lower than that of the Flexshares Trust family and about the same as Long-Term Bond (which currently averages 0.0) category. The price to sales for all United States etfs is 100.0% higher than that of the company.
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Fund Asset Allocation for FlexShares Credit
The fund invests most of its assets under management in various types of exotic instruments, with the rest of asset invested in bonds.Asset allocation divides FlexShares Credit's investment portfolio among different asset categories to balance risk and reward by investing in a diversified mix of instruments that align with the investor's goals, risk tolerance, and time horizon. Mutual funds, which pool money from multiple investors to buy a diversified portfolio of securities, use asset allocation strategies to manage the risk and return of their portfolios.
Mutual funds allocate their assets by investing in a diversified portfolio of securities, such as stocks, bonds, cryptocurrencies and cash. The specific mix of these securities is determined by the fund's investment objective and strategy. For example, a stock mutual fund may invest primarily in equities, while a bond mutual fund may invest mainly in fixed-income securities. The fund's manager, responsible for making investment decisions, will buy and sell securities in the fund's portfolio as market conditions and the fund's objectives change.
FlexShares Fundamentals
| Number Of Employees | 391 | |||
| Beta | 2.1 | |||
| Total Asset | 36.39 M | |||
| One Year Return | 2.60 % | |||
| Three Year Return | (5.90) % | |||
| Five Year Return | (0.90) % | |||
| Net Asset | 36.39 M | |||
| Last Dividend Paid | 0.15 | |||
| Bond Positions Weight | 11.63 % |
About FlexShares Credit Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze FlexShares Credit Scored Long's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of FlexShares Credit using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of FlexShares Credit Scored Long based on its fundamental data. In general, a quantitative approach, as applied to this etf, focuses on analyzing financial statements comparatively, whereas a qaualitative method uses data that is important to a company's growth but cannot be measured and presented in a numerical way.
Please read more on our fundamental analysis page.
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 Piotroski F Score and FlexShares Credit Altman Z Score analysis. You can also try the Global Correlations module to find global opportunities by holding instruments from different markets.
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.