Jpmorgan vs Swan Comparison
Jpmorgan vs Swan comparative analysis provides an insight into diversification possibilities from combining Jpmorgan and Swan into the same portfolio. You can use this module to analyze the comparative aspects of Jpmorgan and Swan across most of their technical and fundamental indicators. Please use the input box below to enter a few concurrent symbols you would like to analyze. With this comparative module, you can estimate the relative strength of Jpmorgan against Swan. Check out your portfolio center.
The Macroaxis Comparable Analysis module helps investors to evaluate stocks by comparing them to other traded companies based on similar metrics to determine their enterprise value. The basic idea behind this approach is that Jpmorgan Hedged and Swan Defined should bear some resemblance to each other or to other equities in a similar class. Swan Defined
Correlation Matrix
Typically, diversification allows investors to combine positions across different asset classes to reduce overall portfolio risk. Correlation between positions in your portfolio represents the degree of relationship between the price movements of corresponding instruments. A correlation of about +1.0 implies that the prices move in tandem. A correlation of -1.0 means that prices move in opposite directions. A correlation of close to zero suggests that the price movements of assets are uncorrelated.
Please specify at least 3 valid symbols having historical data to build a meaningful correlation cloud. You can use symbol search above to locate your securities.
Competitive Analysis
| Better Than Average | Worse Than Peers | View Performance Chart |
| JHEQX | SDFCX | |
| 0.91 33.35 | 0.23 8.67 | Market Volatility (90 Days Market Risk) |
| Market Performance (90 Days Performance) | ||
| Odds of Financial Distress (Probability Of Bankruptcy) | ||
| Current Valuation (Equity Enterprise Value) | ||
| Buy or Sell Advice (Average Analysts Consensus) | ||
Trade Advice (90 Days Macroaxis Advice) | ||
| Net Asset | ||
| Minimum Initial Investment | ||
| Price To Book | ||
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| Last Dividend Paid | ||
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| Annual Yield | ||
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| Daily Balance Of Power | ||
| Day Typical Price | ||
| Period Momentum Indicator | ||
| Rate Of Daily Change | ||
| Day Median Price | ||
| Price Action Indicator | ||
| Coefficient Of Variation | ||
| Mean Deviation | ||
| Jensen Alpha | ||
| Total Risk Alpha | ||
| Sortino Ratio | ||
| Downside Variance | ||
| Standard Deviation | ||
| Kurtosis | ||
| Potential Upside | ||
| Treynor Ratio | ||
| Maximum Drawdown | ||
| Variance | ||
| Market Risk Adjusted Performance | ||
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| Skewness | ||
| Semi Deviation | ||
| Information Ratio | ||
| Value At Risk | ||
| Expected Short fall | ||
| Downside Deviation | ||
| Semi Variance |
Market Neutrality
One of the main advantages of trading using market-neutral strategies is that every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses.
Please note, the success of pairs trading depends heavily on the modeling and forecasting of the spread time series. However, in general, pair trading minimizes risk from directional movements in the market unless the strategy's equities are perfectly correlated. For example, if an entire industry or sector drops because of unexpected headlines, the first equity's short position will appreciate offsetting losses from the drop in the long position's value.
Five steps to successful analysis of competition
Competitive analysis is the process of researching and evaluating the competitive landscape of a business entity. It provides an understanding of the company's strengths, weaknesses, opportunities, and threats (SWOT) in relation to its competition. The competition analysis typically involves several steps, including:- Identifying the key players in the market: This involves identifying the major competitors across the sector or industry, both direct and indirect, as well as new entrants and disruptive technologies.
- Assessing the strengths and weaknesses of each competitor: This involves evaluating each competitor's strengths and weaknesses in areas such as product offerings, market share, brand recognition, financial performance, and distribution channels.
- Understanding the competitive environment: This involves evaluating the regulatory environment, economic conditions, and other factors that may impact the competitive landscape.
- Identifying opportunities and threats: This involves using the information gathered during the analysis to identify opportunities and threats and developing a strategy to address them.
- Evaluating the competitive landscape: This involves understanding the competitive dynamics of the market, such as pricing, marketing, and distribution strategies, as well as analyzing the competitive advantage of each competitor.
Trending Themes
If you are a self-driven investor, you will appreciate our idea-generating investing themes. Our themes help you align your investments inspirations with your core values and are essential building blocks of your portfolios. A typical investing theme is an unweighted collection of up to 20 funds, stocks, ETFs, or cryptocurrencies that are programmatically selected from a pull of equities with common characteristics such as industry and growth potential, volatility, or market segment. | Warren Buffett Holdings Invested over 40 shares | |
 | Dividend Beast Invested over 50 shares | |
 | Driverless Cars Invested over 200 shares | |
 | Automobiles and Trucks Invested over 50 shares | |
 | Macroaxis Index Invested few shares | |
 | FinTech Invested over 40 shares | |
 | Investor Favorites Invested few shares | |
 | Impulse Invested few shares | |
 | Investing Invested few shares | |
 | Trump Equities Invested few shares | |
Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Equity Valuation module to check real value of public entities based on technical and fundamental data.
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