Jpmorgan Etf Total Asset
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.
JPMorgan |
JPMorgan ETF Total Asset Analysis
JPMorgan's Total Asset is everything that a business owns. It is the sum of current and long-term assets owned by a firm at a given time. These assets are listed on a balance sheet and typically valued based on their purchasing prices, not the current market value.
Current JPMorgan Total Asset | 916.69 K |
Most of JPMorgan's fundamental indicators, such as Total Asset, 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.
Total Asset is typically divided on the balance sheet on current asset and long-term asset. Long-term is the value of company property and other capital assets that are expected to be useable for more than one year. Long term assets are reported net of depreciation. On the other hand current assets are assets that are expected to be sold or converted to cash as part of normal business operation.
CompetitionBased on the latest financial disclosure, JPMorgan has a Total Asset of 916.69 K. 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 total asset for all United States etfs is notably lower than that of the firm.
JPMorgan Total Asset 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 Total Asset 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 regarded third largest ETF in total asset 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 Urban Outfitters could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Urban Outfitters 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 Urban Outfitters - 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 Urban Outfitters to buy it.
The correlation of Urban Outfitters 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 Urban Outfitters moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Urban Outfitters 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 Urban Outfitters 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 Positions Ratings module to determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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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