Strats Sm Trust Stock Earnings Per Share
| GJR Stock | USD 24.85 0.10 0.40% |
Strats SM Trust fundamentals help investors to digest information that contributes to Strats SM's financial success or failures. It also enables traders to predict the movement of Strats Stock. The fundamental analysis module provides a way to measure Strats SM'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 Strats SM stock.
Strats |
Strats SM Trust Company Earnings Per Share Analysis
Strats SM's Earnings per Share (EPS) denotes the portion of a company's earnings that is allocated to each share of common stock. To calculate Earnings per Share investors will need to take a company's net income, subtract any dividends for preferred stock, and divide it by the number of average outstanding shares. EPS is usually presented in two different ways: basic and diluted. Fully diluted Earnings per Share takes into account effects of warrants, options, and convertible securities and is generally viewed by analysts as a more accurate measure.
Earnings per Share is one of the most critical measures of the firm's current share price and is used by investors to determine the overall company profitability, especially when compared to the EPS of similar companies.
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According to the company disclosure, Strats SM Trust has an Earnings Per Share of 0.0 times. This is 100.0% lower than that of the Capital Markets sector and about the same as Financials (which currently averages 0.0) industry. The earnings per share for all United States stocks is 100.0% higher than that of the company.
Strats Earnings Per Share Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Strats SM's direct or indirect competition against its Earnings Per Share to detect undervalued stocks with similar characteristics or determine the stocks which would be a good addition to a portfolio. Peer analysis of Strats SM could also be used in its relative valuation, which is a method of valuing Strats SM by comparing valuation metrics of similar companies.Strats SM is currently under evaluation in earnings per share category among its peers.
Strats Fundamentals
| Annual Yield | 0.03 % | ||||
| Last Dividend Paid | 0.018 |
About Strats SM Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Strats SM Trust's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Strats SM using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Strats SM Trust based on its fundamental data. In general, a quantitative approach, as applied to this company, 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 Strats SM
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 Strats SM 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 Strats SM will appreciate offsetting losses from the drop in the long position's value.Moving against Strats Stock
The ability to find closely correlated positions to Strats SM could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Strats SM 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 Strats SM - 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 Strats SM Trust to buy it.
The correlation of Strats SM 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 Strats SM moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Strats SM Trust 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 Strats SM 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.Additional Tools for Strats Stock Analysis
When running Strats SM's price analysis, check to measure Strats SM's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Strats SM is operating at the current time. Most of Strats SM's value examination focuses on studying past and present price action to predict the probability of Strats SM's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Strats SM's price. Additionally, you may evaluate how the addition of Strats SM to your portfolios can decrease your overall portfolio volatility.