Correlation Between Loomis Sayles and Baillie Gifford

Specify exactly 2 symbols:
Can any of the company-specific risk be diversified away by investing in both Loomis Sayles and Baillie Gifford 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 Loomis Sayles and Baillie Gifford into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Loomis Sayles Inflation and Baillie Gifford Emerging, you can compare the effects of market volatilities on Loomis Sayles and Baillie Gifford 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 Loomis Sayles with a short position of Baillie Gifford. Check out your portfolio center. Please also check ongoing floating volatility patterns of Loomis Sayles and Baillie Gifford.

Diversification Opportunities for Loomis Sayles and Baillie Gifford

0.24
  Correlation Coefficient

Modest diversification

The 3 months correlation between Loomis and Baillie is 0.24. Overlapping area represents the amount of risk that can be diversified away by holding Loomis Sayles Inflation and Baillie Gifford Emerging in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Baillie Gifford Emerging and Loomis Sayles 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 Loomis Sayles Inflation are associated (or correlated) with Baillie Gifford. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Baillie Gifford Emerging has no effect on the direction of Loomis Sayles i.e., Loomis Sayles and Baillie Gifford go up and down completely randomly.

Pair Corralation between Loomis Sayles and Baillie Gifford

Assuming the 90 days horizon Loomis Sayles is expected to generate 2.49 times less return on investment than Baillie Gifford. But when comparing it to its historical volatility, Loomis Sayles Inflation is 2.85 times less risky than Baillie Gifford. It trades about 0.04 of its potential returns per unit of risk. Baillie Gifford Emerging is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest  1,821  in Baillie Gifford Emerging on September 1, 2024 and sell it today you would earn a total of  226.00  from holding Baillie Gifford Emerging or generate 12.41% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthVery Weak
Accuracy99.73%
ValuesDaily Returns

Loomis Sayles Inflation  vs.  Baillie Gifford Emerging

 Performance 
       Timeline  
Loomis Sayles Inflation 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days Loomis Sayles Inflation 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.
Baillie Gifford Emerging 

Risk-Adjusted Performance

1 of 100

 
Weak
 
Strong
Weak
Compared to the overall equity markets, risk-adjusted returns on investments in Baillie Gifford Emerging are ranked lower than 1 (%) of all funds and portfolios of funds over the last 90 days. In spite of fairly strong technical indicators, Baillie Gifford is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.

Loomis Sayles and Baillie Gifford Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Loomis Sayles and Baillie Gifford

The main advantage of trading using opposite Loomis Sayles and Baillie Gifford positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Loomis Sayles position performs unexpectedly, Baillie Gifford 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 Baillie Gifford will offset losses from the drop in Baillie Gifford's long position.
The idea behind Loomis Sayles Inflation and Baillie Gifford Emerging 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 Top Crypto Exchanges module to search and analyze digital assets across top global cryptocurrency exchanges.

Other Complementary Tools

Portfolio Rebalancing
Analyze risk-adjusted returns against different time horizons to find asset-allocation targets
Alpha Finder
Use alpha and beta coefficients to find investment opportunities after accounting for the risk
Crypto Correlations
Use cryptocurrency correlation module to diversify your cryptocurrency portfolio across multiple coins
Equity Analysis
Research over 250,000 global equities including funds, stocks and ETFs to find investment opportunities
Watchlist Optimization
Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm