Correlation Between Loomis Sayles and Blue Chip
Can any of the company-specific risk be diversified away by investing in both Loomis Sayles and Blue Chip 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 Blue Chip 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 Blue Chip Growth, you can compare the effects of market volatilities on Loomis Sayles and Blue Chip 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 Blue Chip. Check out your portfolio center. Please also check ongoing floating volatility patterns of Loomis Sayles and Blue Chip.
Diversification Opportunities for Loomis Sayles and Blue Chip
-0.62 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Loomis and Blue is -0.62. Overlapping area represents the amount of risk that can be diversified away by holding Loomis Sayles Inflation and Blue Chip Growth in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Blue Chip Growth 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 Blue Chip. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Blue Chip Growth has no effect on the direction of Loomis Sayles i.e., Loomis Sayles and Blue Chip go up and down completely randomly.
Pair Corralation between Loomis Sayles and Blue Chip
Assuming the 90 days horizon Loomis Sayles Inflation is expected to under-perform the Blue Chip. But the mutual fund apears to be less risky and, when comparing its historical volatility, Loomis Sayles Inflation is 3.67 times less risky than Blue Chip. The mutual fund trades about -0.05 of its potential returns per unit of risk. The Blue Chip Growth is currently generating about 0.19 of returns per unit of risk over similar time horizon. If you would invest 5,416 in Blue Chip Growth on September 13, 2024 and sell it today you would earn a total of 430.00 from holding Blue Chip Growth or generate 7.94% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Loomis Sayles Inflation vs. Blue Chip Growth
Performance |
| Timeline |
| Loomis Sayles Inflation |
| Blue Chip Growth |
Loomis Sayles and Blue Chip Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Loomis Sayles and Blue Chip
The main advantage of trading using opposite Loomis Sayles and Blue Chip positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Loomis Sayles position performs unexpectedly, Blue Chip 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 Blue Chip will offset losses from the drop in Blue Chip's long position.| Loomis Sayles vs. Smallcap Growth Fund | Loomis Sayles vs. Df Dent Small | Loomis Sayles vs. Lebenthal Lisanti Small | Loomis Sayles vs. Scout Small Cap |
| Blue Chip vs. Goldman Sachs Inflation | Blue Chip vs. Ab Bond Inflation | Blue Chip vs. Deutsche Global Inflation | Blue Chip vs. Loomis Sayles Inflation |
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 Price Ceiling Movement module to calculate and plot Price Ceiling Movement for different equity instruments.
Other Complementary Tools
| Positions Ratings Determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
| Portfolio Suggestion Get suggestions outside of your existing asset allocation including your own model portfolios | |
| Piotroski F Score Get Piotroski F Score based on the binary analysis strategy of nine different fundamentals | |
| Portfolio Diagnostics Use generated alerts and portfolio events aggregator to diagnose current holdings | |
| Headlines Timeline Stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity |