Correlation Between Loomis Sayles and Highland Longshort
Can any of the company-specific risk be diversified away by investing in both Loomis Sayles and Highland Longshort 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 Highland Longshort 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 Highland Longshort Healthcare, you can compare the effects of market volatilities on Loomis Sayles and Highland Longshort 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 Highland Longshort. Check out your portfolio center. Please also check ongoing floating volatility patterns of Loomis Sayles and Highland Longshort.
Diversification Opportunities for Loomis Sayles and Highland Longshort
-0.7 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Loomis and Highland is -0.7. Overlapping area represents the amount of risk that can be diversified away by holding Loomis Sayles Inflation and Highland Longshort Healthcare in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Highland Longshort 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 Highland Longshort. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Highland Longshort has no effect on the direction of Loomis Sayles i.e., Loomis Sayles and Highland Longshort go up and down completely randomly.
Pair Corralation between Loomis Sayles and Highland Longshort
Assuming the 90 days horizon Loomis Sayles Inflation is expected to under-perform the Highland Longshort. In addition to that, Loomis Sayles is 1.35 times more volatile than Highland Longshort Healthcare. It trades about -0.19 of its total potential returns per unit of risk. Highland Longshort Healthcare is currently generating about 0.05 per unit of volatility. If you would invest 1,627 in Highland Longshort Healthcare on September 22, 2024 and sell it today you would earn a total of 10.00 from holding Highland Longshort Healthcare or generate 0.61% 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. Highland Longshort Healthcare
Performance |
Timeline |
Loomis Sayles Inflation |
Highland Longshort |
Loomis Sayles and Highland Longshort Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Loomis Sayles and Highland Longshort
The main advantage of trading using opposite Loomis Sayles and Highland Longshort positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Loomis Sayles position performs unexpectedly, Highland Longshort 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 Highland Longshort will offset losses from the drop in Highland Longshort's long position.Loomis Sayles vs. Loomis Sayles Bond | Loomis Sayles vs. Loomis Sayles Bond | Loomis Sayles vs. Loomis Sayles Bond | Loomis Sayles vs. Loomis Sayles Small |
Highland Longshort vs. Highland Small Cap Equity | Highland Longshort vs. Highland Small Cap Equity | Highland Longshort vs. Highland Small Cap Equity |
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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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