Dirt Etf Three Year Return
DIRT fundamentals help investors to digest information that contributes to DIRT's financial success or failures. It also enables traders to predict the movement of DIRT Etf. The fundamental analysis module provides a way to measure DIRT's 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 DIRT etf.
DIRT |
DIRT ETF Three Year Return Analysis
DIRT's 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.
More About Three Year Return | All Equity Analysis
Three Year Return | = | (Mean of Monthly Returns - 1) | X | 100% |
Current DIRT Three Year Return | (4.36) % |
Most of DIRT's fundamental indicators, such as Three Year Return, 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, DIRT is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
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.
CompetitionBased on the latest financial disclosure, DIRT has a Three Year Return of -4.36%. This is much lower than that of the Barclays Capital family and significantly lower than that of the Agriculture category. The three year return for all United States etfs is notably higher than that of the company.
DIRT Three Year Return Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses DIRT's direct or indirect competition against its Three Year Return to detect undervalued stocks with similar characteristics or determine the etfs which would be a good addition to a portfolio. Peer analysis of DIRT could also be used in its relative valuation, which is a method of valuing DIRT by comparing valuation metrics of similar companies.DIRT is currently under evaluation in three year return as compared to similar ETFs.
DIRT Fundamentals
| Number Of Employees | 177 | |||
| Total Asset | 1.22 M | |||
| One Year Return | (1.67) % | |||
| Three Year Return | (4.36) % | |||
| Five Year Return | (8.28) % | |||
| Net Asset | 1.22 M |
Pair Trading with DIRT
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 DIRT 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 DIRT 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.Check out Investing Opportunities to better understand how to build diversified portfolios. Also, note that the market value of any etf could be tightly coupled with the direction of predictive economic indicators such as signals in metropolitan statistical area. You can also try the Portfolio Holdings module to check your current holdings and cash postion to detemine if your portfolio needs rebalancing.
Other Tools for DIRT Etf
When running DIRT's price analysis, check to measure DIRT'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 DIRT is operating at the current time. Most of DIRT's value examination focuses on studying past and present price action to predict the probability of DIRT's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move DIRT's price. Additionally, you may evaluate how the addition of DIRT to your portfolios can decrease your overall portfolio volatility.
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