Three Year Return

The Three Year Return Fundamental Analysis lookup allows you to check this and other indicators for any equity instrument. You can also select from a set of available indicators by clicking on the link to the right. Please note, this module does not cover all equities due to inconsistencies in global equity categorizations. Please continue to Equity Screeners to view more equity screening tools.
  
Although Three Year Fund Return indicator can give a sense of overall fund mid-term potential, it is recommended to compare fund performances against other similar funds, ETFs, or market benchmarks for the same 3 year interval.

Three Year Return

 = 

(Mean of Monthly Returns - 1)

X

100%

Tree Year Return shows the total annualized return generated from holding a fund or ETFs for the last three years. The return measure includes capital appreciation, losses, dividends paid, and all capital gains distributions. This return indicator is considered by many investors to be solid measures of fund mid-term performance.

Three Year Return In A Nutshell

Focusing on the three year return, this data point will tell you how the company has done over a long period of time, taking into account almost every aspect of the business. The shorter the time frame, you may be missing events or data points that the longer terms can show, which is why if you are investing, you want to look at the longer returns.

When looking into new investments or reviewing your current holdings, the main item you are looking at is return. You ultimately want to know what the stock or product will return to you. In the short term or if you trade, return is not necessarily as important because you are capturing the day to day movements of the company. However, looking at the long term, you want to know how the equity has performed, and that is when you will want to look at the one year and three year return.

Closer Look at Three Year Return

Here are a few examples of why you should utilize the three year returns when researching your next investment. First, you want to know how the company does during business cycles. Of course three years may not encompass a full business cycle, but you may get insights as to where the company excels and where it pulls back. That is important because it can lead you a buying opportunity if the stock pulls back slightly. Secondly, the longer time frame will allow you to look at seasonality of the company. An example would be anyone in the retail sector, which typically moves into the black during the holiday season. This will give you comfort when the company may be slow during one quarter, because you know its busy season is in the other quarter.

 

If there is a down fall to looking at the longer time frame, it would be that you may be missing the here and now in the data. You may not see an upcoming project or an acquisition in the makings that can grow the company and ultimately the stock price. When looking at this you should also take into account how the company is going to be going forward, but the potential will not be fixed into the current three year return. You could go a step further and set a projected target price based on the current information, giving you a projected return for a year or two out.

 

If you get stuck, reach out to an investing community and they can help to clarify the information at hand, giving you better light on the situation. Research is key and always necessary to formulate the best opinion. If you are a long term investor, utilize the three year return as that will paint a picture of what the company has done and how it reacts in certain situations.

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Pair Trading with Investor Education

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 Investor Education 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 Investor Education will appreciate offsetting losses from the drop in the long position's value.
The ability to find closely correlated positions to Vornado Realty could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Vornado Realty 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 Vornado Realty - 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 Vornado Realty Trust to buy it.
The correlation of Vornado Realty 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 Vornado Realty moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Vornado Realty 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 Vornado Realty 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 Investing Opportunities to better understand how to build diversified portfolios. Also, note that the market value of any private could be closely tied with the direction of predictive economic indicators such as signals in estimate.
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