Ishares Jp Morgan Etf Beta
| SEML Etf | 34.02 0.11 0.32% |
iShares JP Morgan fundamentals help investors to digest information that contributes to IShares JP's financial success or failures. It also enables traders to predict the movement of IShares Etf. The fundamental analysis module provides a way to measure IShares JP'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 IShares JP etf.
IShares |
iShares JP Morgan ETF Beta Analysis
IShares JP's Beta is one of the most important measures of equity market volatility. Beta can be thought of as asset elasticity or sensitivity to market. In other words, it is a number that shows the relationship of an equity instrument to the financial market in which this instrument is traded. For example, if Beta of equity is 2, it is expected to significantly outperform market when the market is going up and significantly underperform when the market is going down. Similarly, Beta of 1 indicates that an asset and market will generate similar returns over time.
In a nutshell, Beta is a measure of individual stock risk relative to the overall volatility of the stock market. and is calculated based on very sound finance theory - Capital Assets Pricing Model (CAPM).However, since Beta is calculated based on historical price movements it may not predict how a firm's stock is going to perform in the future.
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In accordance with the recently published financial statements, iShares JP Morgan has a Beta of 0.0. This indicator is about the same for the average (which is currently at 0.0) family and about the same as Global Emerging Markets Bond - Local Currency (which currently averages 0.0) category. This indicator is about the same for all United Kingdom etfs average (which is currently at 0.0).
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IShares Fundamentals
| One Year Return | (1.00) % | |||
| Three Year Return | 0.90 % | |||
| Five Year Return | (1.60) % | |||
| Ten Year Return | 1.50 % |
About IShares JP Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze iShares JP Morgan's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of IShares JP using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of iShares JP Morgan based on its fundamental data. In general, a quantitative approach, as applied to this etf, focuses on analyzing financial statements comparatively, whereas a qaualitative method uses data that is important to a company's growth but cannot be measured and presented in a numerical way.
Please read more on our fundamental analysis page.
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Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.When determining whether iShares JP Morgan offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of IShares JP's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Ishares Jp Morgan Etf. Outlined below are crucial reports that will aid in making a well-informed decision on Ishares Jp Morgan Etf:Check out World Market Map to better understand how to build diversified portfolios, which includes a position in iShares JP Morgan. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in board of governors. You can also try the Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.