Green Plains Partners Stock Price To Book

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 Price To Book Analysis

Green Plains' Price to Book (P/B) ratio is used to relate a company book value to its current market price. A high P/B ratio indicates that investors expect executives to generate more returns on their investments from a given set of assets. Book value is the accounting value of assets minus liabilities.

P/B

 = 

MV Per Share

BV Per Share

More About Price To Book | All Equity Analysis

Current Green Plains Price To Book

    
  151.70 X  
Most of Green Plains' fundamental indicators, such as Price To Book, 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.
Price to Book ratio is mostly used in financial services industries where assets and liabilities are typically represented by dollars. Although low Price to Book ratio generally implies that the firm is undervalued, it is often a good indicator that the company may be in financial or managerial distress and should be investigated more carefully.
Competition

Based on the latest financial disclosure, Green Plains Partners has a Price To Book of 151 times. This is much higher than that of the Oil, Gas & Consumable Fuels sector and notably higher than that of the Energy industry. The price to book for all United States stocks is notably lower than that of the firm.

Green Price To Book 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 Price To Book 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 price to book 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 Ecolab could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Ecolab 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 Ecolab - 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 Ecolab Inc to buy it.
The correlation of Ecolab 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 Ecolab moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Ecolab 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 Ecolab 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 Portfolio Manager module to state of the art Portfolio Manager to monitor and improve performance of your invested capital.

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.
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