Correlation Between Franklin Strategic and Loomis Sayles

Specify exactly 2 symbols:
Can any of the company-specific risk be diversified away by investing in both Franklin Strategic and Loomis Sayles at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining Franklin Strategic and Loomis Sayles into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Franklin Strategic Income and Loomis Sayles Strategic, you can compare the effects of market volatilities on Franklin Strategic and Loomis Sayles and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in Franklin Strategic with a short position of Loomis Sayles. Check out your portfolio center. Please also check ongoing floating volatility patterns of Franklin Strategic and Loomis Sayles.

Diversification Opportunities for Franklin Strategic and Loomis Sayles

0.82
  Correlation Coefficient

Very poor diversification

The 3 months correlation between Franklin and Loomis is 0.82. Overlapping area represents the amount of risk that can be diversified away by holding Franklin Strategic Income and Loomis Sayles Strategic in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Loomis Sayles Strategic and Franklin Strategic is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on Franklin Strategic Income are associated (or correlated) with Loomis Sayles. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Loomis Sayles Strategic has no effect on the direction of Franklin Strategic i.e., Franklin Strategic and Loomis Sayles go up and down completely randomly.

Pair Corralation between Franklin Strategic and Loomis Sayles

Assuming the 90 days horizon Franklin Strategic Income is expected to generate 0.69 times more return on investment than Loomis Sayles. However, Franklin Strategic Income is 1.45 times less risky than Loomis Sayles. It trades about 0.02 of its potential returns per unit of risk. Loomis Sayles Strategic is currently generating about 0.01 per unit of risk. If you would invest  789.00  in Franklin Strategic Income on January 19, 2024 and sell it today you would earn a total of  23.00  from holding Franklin Strategic Income or generate 2.92% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthStrong
Accuracy100.0%
ValuesDaily Returns

Franklin Strategic Income  vs.  Loomis Sayles Strategic

 Performance 
       Timeline  
Franklin Strategic 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days Franklin Strategic Income has generated negative risk-adjusted returns adding no value to fund investors. In spite of fairly strong fundamental indicators, Franklin Strategic is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.
Loomis Sayles Strategic 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days Loomis Sayles Strategic has generated negative risk-adjusted returns adding no value to fund investors. In spite of fairly strong basic indicators, Loomis Sayles is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.

Franklin Strategic and Loomis Sayles Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Franklin Strategic and Loomis Sayles

The main advantage of trading using opposite Franklin Strategic and Loomis Sayles positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Franklin Strategic position performs unexpectedly, Loomis Sayles 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 Loomis Sayles will offset losses from the drop in Loomis Sayles' long position.
The idea behind Franklin Strategic Income and Loomis Sayles Strategic pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.
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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.

Other Complementary Tools

Fundamentals Comparison
Compare fundamentals across multiple equities to find investing opportunities
Share Portfolio
Track or share privately all of your investments from the convenience of any device
Economic Indicators
Top statistical indicators that provide insights into how an economy is performing
Equity Analysis
Research over 250,000 global equities including funds, stocks and ETFs to find investment opportunities
Pair Correlation
Compare performance and examine fundamental relationship between any two equity instruments
Idea Analyzer
Analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas
Portfolio Comparator
Compare the composition, asset allocations and performance of any two portfolios in your account
Portfolio Backtesting
Avoid under-diversification and over-optimization by backtesting your portfolios