Correlation Between Loomis Sayles and Heartland Value
Can any of the company-specific risk be diversified away by investing in both Loomis Sayles and Heartland Value 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 Heartland Value 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 Heartland Value Plus, you can compare the effects of market volatilities on Loomis Sayles and Heartland Value 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 Heartland Value. Check out your portfolio center. Please also check ongoing floating volatility patterns of Loomis Sayles and Heartland Value.
Diversification Opportunities for Loomis Sayles and Heartland Value
0.4 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Loomis and Heartland is 0.4. Overlapping area represents the amount of risk that can be diversified away by holding Loomis Sayles Inflation and Heartland Value Plus in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Heartland Value Plus 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 Heartland Value. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Heartland Value Plus has no effect on the direction of Loomis Sayles i.e., Loomis Sayles and Heartland Value go up and down completely randomly.
Pair Corralation between Loomis Sayles and Heartland Value
Assuming the 90 days horizon Loomis Sayles Inflation is expected to generate 0.18 times more return on investment than Heartland Value. However, Loomis Sayles Inflation is 5.5 times less risky than Heartland Value. It trades about -0.55 of its potential returns per unit of risk. Heartland Value Plus is currently generating about -0.39 per unit of risk. If you would invest 969.00 in Loomis Sayles Inflation on October 10, 2024 and sell it today you would lose (25.00) from holding Loomis Sayles Inflation or give up 2.58% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Loomis Sayles Inflation vs. Heartland Value Plus
Performance |
Timeline |
Loomis Sayles Inflation |
Heartland Value Plus |
Loomis Sayles and Heartland Value Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Loomis Sayles and Heartland Value
The main advantage of trading using opposite Loomis Sayles and Heartland Value positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Loomis Sayles position performs unexpectedly, Heartland Value 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 Heartland Value will offset losses from the drop in Heartland Value's long position.Loomis Sayles vs. 1919 Financial Services | Loomis Sayles vs. Angel Oak Financial | Loomis Sayles vs. Vanguard Financials Index | Loomis Sayles vs. Transamerica Financial Life |
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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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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