Green Plains Partners Stock EBITDA

Green Plains Partners fundamentals help investors to digest information that contributes to Green Plains' financial success or failures. It also enables traders to predict the movement of Green Stock. The fundamental analysis module provides a way to measure Green Plains' 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 Green Plains stock.
  
This module does not cover all equities due to inconsistencies in global equity categorizations. Continue to Equity Screeners to view more equity screening tools.

Green Plains Partners Company EBITDA Analysis

Green Plains' EBITDA stands for earnings before interest, taxes, depreciation, and amortization. It is a measure of a company operating cash flow based on data from the company income statement and is a very good way to compare companies within industries or across different sectors. However, unlike Operating Cash Flow, EBITDA does not include the effects of changes in working capital.

EBITDA

 = 

Revenue

-

Basic Expenses

More About EBITDA | All Equity Analysis

Current Green Plains EBITDA

    
  49.73 M  
Most of Green Plains' fundamental indicators, such as EBITDA, are part of a valuation analysis module that helps investors searching for stocks that are currently trading at higher or lower prices than their real value. If the real value is higher than the market price, Green Plains Partners is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
In a nutshell, EBITDA is calculated by adding back each of the excluded items to the post-tax profit, and can be used to compare companies with very different capital structures.
Competition

According to the company disclosure, Green Plains Partners reported earnings before interest,tax, depreciation and amortization of 49.73 M. This is 99.17% lower than that of the Oil, Gas & Consumable Fuels sector and 97.84% lower than that of the Energy industry. The ebitda for all United States stocks is 98.72% higher than that of the company.

Green EBITDA Peer Comparison

Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Green Plains' direct or indirect competition against its EBITDA to detect undervalued stocks with similar characteristics or determine the stocks which would be a good addition to a portfolio. Peer analysis of Green Plains could also be used in its relative valuation, which is a method of valuing Green Plains by comparing valuation metrics of similar companies.
Green Plains is currently under evaluation in ebitda category among its peers.

Green Fundamentals

Pair Trading with Green Plains

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 Green Plains 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 Green Plains will appreciate offsetting losses from the drop in the long position's value.
The ability to find closely correlated positions to Xylem could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Xylem 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 Xylem - 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 Xylem Inc to buy it.
The correlation of Xylem 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 Xylem moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Xylem Inc 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 Xylem 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.
Pair CorrelationCorrelation Matching
Check out Risk vs Return Analysis to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in american community survey.
You can also try the Bollinger Bands module to use Bollinger Bands indicator to analyze target price for a given investing horizon.

Other Consideration for investing in Green Stock

If you are still planning to invest in Green Plains Partners check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the Green Plains' history and understand the potential risks before investing.
Performance Analysis
Check effects of mean-variance optimization against your current asset allocation
My Watchlist Analysis
Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like
Crypto Correlations
Use cryptocurrency correlation module to diversify your cryptocurrency portfolio across multiple coins
Watchlist Optimization
Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm
Volatility Analysis
Get historical volatility and risk analysis based on latest market data
Money Flow Index
Determine momentum by analyzing Money Flow Index and other technical indicators
Commodity Channel
Use Commodity Channel Index to analyze current equity momentum
Money Managers
Screen money managers from public funds and ETFs managed around the world
Portfolio Backtesting
Avoid under-diversification and over-optimization by backtesting your portfolios