Year To Date Return

The Year To Date 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.
  
Year-To-Date typically refers to a period starting from the beginning of the current year and continuing up to the present day. Investors should becareful when comparing YTD ratios if not much of the year has occurred as research shows that YTD measures are more sensitive to early periods than late.

YTD Return

 = 

(Mean of Monthly Returns - 1)

X

100%

Year to Date Return (YTD) is the total return generated from holding a security from the beginning of the current fiscal year. In other words, YTD Return represents the capital appreciation of your investments from the start of the current fiscal year.

Year To Date Return In A Nutshell

A more reliable light to use this in is with fundamental analysis because that will shed light on the reasons for the returns being the way they are. You can take a look at items such as earnings per share or revenue to gauge why the year to date return is what it is. Now if you apply this to a technical chart, you may not get the same results. Yes, you can look at historical data and movements, but it doesn’t explain why those movements occurred.

When looking at equities and other return metrics, a popular one many glance as is year to date returns, which is exactly what is says. Year to date returns is quick measurement that you can compare against others across the board. This data point in itself provides value, but it should not be relied upon because it does not tell the whole story. The year to date returns could be slowed or lower for reasons such as acquisition costs hit, which for the short term appears bad but the long term it appears great.

Closer Look at Year To Date Return

Overall, this is a useful tool to begin you search and see what is out there, but it may not be the best decision to put a lot of weight into it. Let it be a filter to identify what is worth you time and go from there. Fundamental analysis with this tool would work the best, giving you the most well rounded answer. If you get stuck and need some help with anything, reach out to an investing and trading community and ask for opinions, that way you can see how it is actually being applied in the finance world.

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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 Microsoft could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Microsoft 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 Microsoft - 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 Microsoft to buy it.
The correlation of Microsoft 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 Microsoft moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Microsoft 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 Microsoft 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.
You can also try the Piotroski F Score module to get Piotroski F Score based on the binary analysis strategy of nine different fundamentals.

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