Green Street Earnings Estimate
Green Street Earnings per Share Projection vs Actual
About Green Street Earnings Estimate
The earnings estimate module is a useful tool to check what professional financial analysts are assuming about the future of Green Street earnings. We show available consensus EPS estimates for the upcoming years and quarters. Investors can also examine how these consensus opinions have evolved historically. We show current Green Street estimates, future projections, as well as estimates 1, 2, and three years ago. Investors can search for a specific entity to conduct investment planning and build diversified portfolios. Please note, earnings estimates provided by Macroaxis are the average expectations of expert analysts that we track. If a given stock such as Green Street fails to match professional earnings estimates, it usually performs purely. Wall Street refers to that as a 'negative surprise.' If a company 'beats' future estimates, it's usually called an 'upside surprise.'
Please read more on our stock advisor page.Green Street Capital Corp. invests in environmental technology companies that require capital for expansion or are pursuing acquisition strategies. Green Street Capital Corp. was formerly known as Jaguar Mining Enterprises Inc. and changed its name to Green Street Capital Corp. in July 2010. Green Street operates under Asset Management classification in the United States and is traded on OTC Exchange. It employs 3 people.
Pair Trading with Green Street
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 Street 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 Street will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Green Street could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Green Street 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 Green Street - 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 Green Street Capital to buy it.
The correlation of Green Street 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 Green Street moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Green Street Capital 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 Green Street 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 Green Pink Sheet Analysis
When running Green Street's price analysis, check to measure Green Street'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 Green Street is operating at the current time. Most of Green Street's value examination focuses on studying past and present price action to predict the probability of Green Street's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Green Street's price. Additionally, you may evaluate how the addition of Green Street to your portfolios can decrease your overall portfolio volatility.