Etf Series Solutions Etf Z Score
Altman Z Score is one of the simplest fundamental models to determine how likely your company is to fail. The module uses available fundamental data of a given equity to approximate the Altman Z score. Altman Z Score is determined by evaluating five fundamental price points available from the company's current public disclosure documents. Check out Correlation Analysis to better understand how to build diversified portfolios. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in population.
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ETF Series Solutions ETF Z Score Analysis
ETF Series' Z-Score is a simple linear, multi-factor model that measures the financial health and economic stability of a company. The score is used to predict the probability of a firm going into bankruptcy within next 24 months or two fiscal years from the day stated on the accounting statements used to calculate it. The model uses five fundamental business ratios that are weighted according to algorithm of Professor Edward Altman who developed it in the late 1960s at New York University..
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To calculate a Z-Score, one would need to know a company's current working capital, its total assets and liabilities, and the amount of its latest earnings as well as earnings before interest and tax. Z-Scores can be used to compare the odds of bankruptcy of companies in a similar line of business or firms operating in the same industry. Companies with Z-Scores above 3.1 are generally considered to be stable and healthy with a low probability of bankruptcy. Scores that fall between 1.8 and 3.1 lie in a so-called 'grey area,' with scores of less than 1 indicating the highest probability of distress. Z Score is a used widely measure by financial auditors, accountants, money managers, loan processors, wealth advisers, and day traders. In the last 25 years, many financial models that utilize z-scores proved it to be successful as a predictor of corporate bankruptcy.
CompetitionBased on the company's disclosures, ETF Series Solutions has a Z Score of 0.0. This indicator is about the same for the APTUS ETFs average (which is currently at 0.0) family and about the same as Moderate Allocation (which currently averages 0.0) category. This indicator is about the same for all United States etfs average (which is currently at 0.0).
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Fund Asset Allocation for ETF Series
The fund invests most of its asset in various types of exotic instruments. .Asset allocation divides ETF Series' 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.
ETF Fundamentals
| Total Asset | 31.23 M | |||
| One Year Return | 28.10 % | |||
| Three Year Return | 8.30 % | |||
| Net Asset | 31.23 M | |||
| Equity Positions Weight | 0.12 % |
Pair Trading with ETF Series
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 ETF Series 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 ETF Series will appreciate offsetting losses from the drop in the long position's value.Moving together with ETF Etf
| 0.65 | AOR | iShares Core Growth | PairCorr |
| 0.87 | GDMA | Alpha Architect Gdsdn | PairCorr |
| 0.8 | TUG | STF Tactical Growth | PairCorr |
| 0.72 | RAAX | VanEck Inflation All | PairCorr |
| 0.73 | OCIO | ClearShares OCIO ETF | PairCorr |
Moving against ETF Etf
The ability to find closely correlated positions to Crown Castle could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Crown Castle 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 Crown Castle - 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 Crown Castle to buy it.
The correlation of Crown Castle 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 Crown Castle moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Crown Castle 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 Crown Castle 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 ETF Series Piotroski F Score and Portfolio Optimization analysis. You can also try the Price Ceiling Movement module to calculate and plot Price Ceiling Movement for different equity instruments.
The market value of ETF Series Solutions is measured differently than its book value, which is the value of ETF that is recorded on the company's balance sheet. Investors also form their own opinion of ETF Series' value that differs from its market value or its book value, called intrinsic value, which is ETF Series' 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 ETF Series' market value can be influenced by many factors that don't directly affect ETF Series' 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 ETF Series' value and its price as these two are different measures arrived at by different means. Investors typically determine if ETF Series is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, ETF Series' 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.