Energy Income Etf Retained Earnings
ENI-UN Etf | CAD 1.70 0.01 0.58% |
Energy Income fundamentals help investors to digest information that contributes to Energy Income's financial success or failures. It also enables traders to predict the movement of Energy Etf. The fundamental analysis module provides a way to measure Energy Income'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 Energy Income etf.
Energy |
Energy Income ETF Retained Earnings Analysis
Energy Income's Retained Earnings is a balance sheet account that refers to the portion of company income that is retained by the firm. In other words, it is a part of earnings that is not paid out as dividends or otherwise distributed to owners. Retained Earnings are calculated by adding net income to last period retained earnings and subtracting any dividends paid to owners.
More About Retained Earnings | All Equity Analysis
Retained Earnings | = | Beginning RE + Income | - | Dividends |
Retained Earnings shows how the firm utilizes its profits over time. In simple terms, investors can think of retained earnings as the amount of profit the company has reinvested in the business since its inceptions. However the methodology to make a decision over how much profit to retain is different between companies in different industries. For example, growing industries tend to retain more of their earnings than more matured industries as they need more assets investment to sustain their growth.
Competition |
Based on the latest financial disclosure, Energy Income has a Retained Earnings of 0.0. This indicator is about the same for the Financial Services average (which is currently at 0.0) family and about the same as Asset Management (which currently averages 0.0) category. This indicator is about the same for all Canada etfs average (which is currently at 0.0).
Energy Retained Earnings Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Energy Income's direct or indirect competition against its Retained Earnings to detect undervalued stocks with similar characteristics or determine the etfs which would be a good addition to a portfolio. Peer analysis of Energy Income could also be used in its relative valuation, which is a method of valuing Energy Income by comparing valuation metrics of similar companies.Energy Income is currently under evaluation in retained earnings as compared to similar ETFs.
Energy Fundamentals
Return On Equity | -21.27 | |||
Return On Asset | -13.11 | |||
Operating Margin | 130.01 % | |||
Current Valuation | (1.81 M) | |||
Shares Outstanding | 4.22 M | |||
Number Of Shares Shorted | 2 | |||
Price To Earning | 13.48 X | |||
Price To Book | 0.77 X | |||
Price To Sales | (4.26) X | |||
Revenue | (1.54 M) | |||
Gross Profit | (1.54 M) | |||
Net Income | (2 M) | |||
Cash And Equivalents | 7.87 M | |||
Cash Per Share | 2.04 X | |||
Current Ratio | 48.95 X | |||
Book Value Per Share | 2.01 X | |||
Cash Flow From Operations | 1.16 M | |||
Short Ratio | 1.32 X | |||
Earnings Per Share | (0.48) X | |||
Beta | 0.83 | |||
Market Capitalization | 6.55 M | |||
Five Year Return | 5.92 % | |||
Last Dividend Paid | 0.12 |
About Energy Income Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Energy Income's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Energy Income using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Energy Income 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 Energy Income
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 Energy Income 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 Energy Income will appreciate offsetting losses from the drop in the long position's value.Moving together with Energy Etf
Moving against Energy Etf
0.79 | TCLB | TD Canadian Long | PairCorr |
0.55 | ZAG | BMO Aggregate Bond | PairCorr |
0.55 | XBB | iShares Canadian Universe | PairCorr |
The ability to find closely correlated positions to Energy Income could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Energy Income 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 Energy Income - 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 Energy Income to buy it.
The correlation of Energy Income 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 Energy Income moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Energy Income 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 Energy Income 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.Other Information on Investing in Energy Etf
Energy Income financial ratios help investors to determine whether Energy Etf is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Energy with respect to the benefits of owning Energy Income security.