Baron vs Fidelity Comparison
Baron vs Fidelity comparative analysis provides an insight into diversification possibilities from combining Baron and Fidelity into the same portfolio. You can use this module to analyze the comparative aspects of Baron and Fidelity 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 Baron against Fidelity. 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 Baron Small and Fidelity Advisor should bear some resemblance to each other or to other equities in a similar class. Fidelity Advisor
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 |
| BSCUX | FZABX | |
| 1.16 33.37 | 0.08 25.58 | 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 | ||
| Price To Book | ||
| Five Year Return | ||
| One Year Return | ||
| Last Dividend Paid | ||
| Price To Earning | ||
| Price To Sales | ||
| Cash Position Weight | ||
| Equity Positions Weight | ||
| Three Year Return | ||
| Annual Yield | ||
| Year To Date Return | ||
| Ten Year Return | ||
| Day Typical Price | ||
| Daily Balance Of Power | ||
| Period Momentum Indicator | ||
| Rate Of Daily Change | ||
| Day Median Price | ||
| Price Action Indicator | ||
| Relative Strength Index | ||
| Coefficient Of Variation | ||
| Mean Deviation | ||
| Jensen Alpha | ||
| Total Risk Alpha | ||
| Standard Deviation | ||
| Kurtosis | ||
| Potential Upside | ||
| Treynor Ratio | ||
| Maximum Drawdown | ||
| Variance | ||
| Market Risk Adjusted Performance | ||
| Risk Adjusted Performance | ||
| Skewness | ||
| Information Ratio | ||
| Value At Risk |
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. | Banking Sold over 500 shares | |
 | Computers Invested over 500 shares | |
 | Real Estate Sold over 100 shares | |
 | Macroaxis Index Invested over 400 shares | |
 | Blockchain Invested over 500 shares | |
 | Medical Equipment Sold over 100 shares | |
 | Climate Change Sold over 100K shares | |
 | Cars Invested over 100K 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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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