Compare Maryland to Virginia, Franklin, Franklin, Franklin, Franklin, Franklin

Comparing Maryland to Virginia, Franklin, Franklin, Franklin, Franklin, Franklin can provide valuable insights into potential diversification opportunities when combining these positions into a portfolio. By using this module, you can analyze the advantages of specified entities, assessing both technical and fundamental indicators across various peers. Please use the input box below to enter the symbols for specific investments you'd like to analyze. Check out your portfolio center.
Specify up to 10 symbols:

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.
MDXBX
TFBVX
FORIX
FKTNX
FAZIX
FAZRX
FNCZX
MDXBX
0.990.870.640.860.00.0
MDXBX
TFBVX
0.990.870.640.860.00.0
TFBVX
FORIX
0.870.870.750.980.00.0
FORIX
FKTNX
0.640.640.750.740.00.0
FKTNX
FAZIX
0.860.860.980.740.00.0
FAZIX
FAZRX
0.00.00.00.00.00.0
FAZRX
FNCZX
0.00.00.00.00.00.0
FNCZX
MDXBX
TFBVX
FORIX
FKTNX
FAZIX
FAZRX
FNCZX
Click cells to compare fundamentals   Check Volatility   Backtest Portfolio
High positive correlations   
TFBVXMDXBX
FAZIXFORIX
FORIXMDXBX
FORIXTFBVX
FAZIXMDXBX
FAZIXTFBVX
  
High negative correlations   
FNCZXFAZRX
FNCZXFAZIX
FAZRXFAZIX
FNCZXFKTNX
FAZRXFKTNX
FNCZXFORIX

Risk-Adjusted Indicators

There is a big difference between a company's stock performing well and the company itself doing well as a business compared to the competition. There are so many exceptions to the norm that investors cannot definitively determine what's good or bad unless they analyze multiple risk-adjusted performance indicators across the competitive landscape. These indicators are quantitative in nature and help investors forecast volatility and risk-adjusted expected returns across various positions.

Competitive Analysis

    
 Better Than Average     
    
 Worse Than Peers    View Performance Chart
MDXBXTFBVXFORIXFKTNXFAZIXFAZRXFNCZX
 0.20 
 10.06 
Maryland
 0.18 
 11.21 
Virginia
 0.19 
 10.66 
Franklin
 0.19 
 10.53 
Franklin
 0.20 
 9.94 
Franklin
 0.10 
 9.80 
Franklin
 0.00 
 10.52 
Franklin
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)
Not Available
Not Available
Not Available
Not Available
Not Available
Not Available
Not Available
Trade Advice
(90 Days Macroaxis Advice)
Cash Position Weight
Three Year Return
Net Asset
Annual Yield
Minimum Initial Investment
Five Year Return
Year To Date Return
One Year Return
Last Dividend Paid
Bond Positions Weight
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
Sortino Ratio
Downside Variance
Standard Deviation
Kurtosis
Potential Upside
Treynor Ratio
Maximum Drawdown
Variance
Market Risk Adjusted Performance
Risk Adjusted Performance
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.
Competitive analysis is an essential tool for businesses to stay ahead of the competition and can be used to inform decision-making and strategy development. By understanding the competitive landscape and staying informed about the activities of competitors, a company can make more informed decisions and improve its overall performance.

Generate Optimal Portfolios

The classical approach to portfolio optimization is known as Modern Portfolio Theory (MPT). It involves categorizing the investment universe based on risk (standard deviation) and return, and then choosing the mix of investments that achieves the desired risk-versus-return tradeoff. Portfolio optimization can also be thought of as a risk-management strategy as every type of equity has a distinct return and risk characteristics as well as different systemic risks, which describes how they respond to the market at large. Macroaxis enables investors to optimize portfolios that have a mix of equities (such as stocks, funds, or ETFs) and cryptocurrencies (such as Bitcoin, Ethereum or Monero)
Fix your portfolio
By capturing your risk tolerance and investment horizon Macroaxis technology of instant portfolio optimization will compute exactly how much risk is acceptable for your desired return expectations
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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 Crypto Correlations module to use cryptocurrency correlation module to diversify your cryptocurrency portfolio across multiple coins.

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