Jpmorgan Etf One Year Return
JPMorgan fundamentals help investors to digest information that contributes to JPMorgan's financial success or failures. It also enables traders to predict the movement of JPMorgan Etf. The fundamental analysis module provides a way to measure JPMorgan'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 JPMorgan etf.
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JPMorgan ETF One Year Return Analysis
JPMorgan's One Year Return is the annualized return generated from holding a security for exactly 12 months. The measure is considered to be good short-term measures of fund performance. In other words, it represents the capital appreciation of fund investments over the last year. However when the market is volatile such as in recent years, One Year Return measure can be misleading.
More About One Year Return | All Equity Analysis
One Year Return | = | (Mean of Monthly Returns - 1) | X | 100% |
Current JPMorgan One Year Return | 7.22 % |
Most of JPMorgan's fundamental indicators, such as One 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, JPMorgan is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
Although One Year Fund Return indicator can give a sense of overall fund short-term potential, it is recommended to look at mid and long term return measure before selecting a particular fund or ETF. The great way to validate fund short-term performance is to compare it with other similar funds or ETFs for the same 12 months interval.
CompetitionBased on the recorded statements, JPMorgan has an One Year Return of 7.22%. This is much higher than that of the JPMorgan Chase Financial Company LLC family and significantly higher than that of the Energy Limited Partnership category. The one year return for all United States etfs is notably lower than that of the firm.
JPMorgan One Year Return Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses JPMorgan's direct or indirect competition against its One 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 JPMorgan could also be used in its relative valuation, which is a method of valuing JPMorgan by comparing valuation metrics of similar companies.JPMorgan is currently under evaluation in one year return as compared to similar ETFs.
JPMorgan Fundamentals
Number Of Employees | 537 | |||
Total Asset | 916.69 K | |||
One Year Return | 7.22 % | |||
Net Asset | 916.69 K | |||
Last Dividend Paid | 0.32 |
Pair Trading with JPMorgan
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 JPMorgan 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 JPMorgan 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 Your Equity Center to better understand how to build diversified portfolios. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in bureau of economic analysis. You can also try the Idea Analyzer module to analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas.
Other Tools for JPMorgan Etf
When running JPMorgan's price analysis, check to measure JPMorgan'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 JPMorgan is operating at the current time. Most of JPMorgan's value examination focuses on studying past and present price action to predict the probability of JPMorgan's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move JPMorgan's price. Additionally, you may evaluate how the addition of JPMorgan to your portfolios can decrease your overall portfolio volatility.
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