Correlation Between Sit Small and Loomis Sayles
Can any of the company-specific risk be diversified away by investing in both Sit Small 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 Sit Small and Loomis Sayles into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sit Small Cap and Loomis Sayles Inflation, you can compare the effects of market volatilities on Sit Small 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 Sit Small with a short position of Loomis Sayles. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sit Small and Loomis Sayles.
Diversification Opportunities for Sit Small and Loomis Sayles
-0.57 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Sit and Loomis is -0.57. Overlapping area represents the amount of risk that can be diversified away by holding Sit Small Cap and Loomis Sayles Inflation in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Loomis Sayles Inflation and Sit Small 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 Sit Small Cap 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 Inflation has no effect on the direction of Sit Small i.e., Sit Small and Loomis Sayles go up and down completely randomly.
Pair Corralation between Sit Small and Loomis Sayles
Assuming the 90 days horizon Sit Small Cap is expected to generate 3.63 times more return on investment than Loomis Sayles. However, Sit Small is 3.63 times more volatile than Loomis Sayles Inflation. It trades about 0.15 of its potential returns per unit of risk. Loomis Sayles Inflation is currently generating about -0.06 per unit of risk. If you would invest 1,670 in Sit Small Cap on September 12, 2024 and sell it today you would earn a total of 159.00 from holding Sit Small Cap or generate 9.52% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Sit Small Cap vs. Loomis Sayles Inflation
Performance |
Timeline |
Sit Small Cap |
Loomis Sayles Inflation |
Sit Small and Loomis Sayles Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sit Small and Loomis Sayles
The main advantage of trading using opposite Sit Small and Loomis Sayles positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sit Small 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.Sit Small vs. Loomis Sayles Inflation | Sit Small vs. Arrow Managed Futures | Sit Small vs. Schwab Treasury Inflation | Sit Small vs. Short Duration Inflation |
Loomis Sayles vs. Western Asset Inflation | Loomis Sayles vs. Altegris Futures Evolution | Loomis Sayles vs. American Funds Inflation | Loomis Sayles vs. Fidelity Sai Inflationfocused |
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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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