Correlation Between Commodities Strategy and Sit Tax
Can any of the company-specific risk be diversified away by investing in both Commodities Strategy and Sit Tax 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 Commodities Strategy and Sit Tax into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Commodities Strategy Fund and Sit Tax Free Income, you can compare the effects of market volatilities on Commodities Strategy and Sit Tax 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 Commodities Strategy with a short position of Sit Tax. Check out your portfolio center. Please also check ongoing floating volatility patterns of Commodities Strategy and Sit Tax.
Diversification Opportunities for Commodities Strategy and Sit Tax
0.8 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Commodities and Sit is 0.8. Overlapping area represents the amount of risk that can be diversified away by holding Commodities Strategy Fund and Sit Tax Free Income in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sit Tax Free and Commodities Strategy 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 Commodities Strategy Fund are associated (or correlated) with Sit Tax. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sit Tax Free has no effect on the direction of Commodities Strategy i.e., Commodities Strategy and Sit Tax go up and down completely randomly.
Pair Corralation between Commodities Strategy and Sit Tax
Assuming the 90 days horizon Commodities Strategy Fund is expected to under-perform the Sit Tax. In addition to that, Commodities Strategy is 2.14 times more volatile than Sit Tax Free Income. It trades about -0.02 of its total potential returns per unit of risk. Sit Tax Free Income is currently generating about -0.01 per unit of volatility. If you would invest 857.00 in Sit Tax Free Income on February 5, 2025 and sell it today you would lose (9.00) from holding Sit Tax Free Income or give up 1.05% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Commodities Strategy Fund vs. Sit Tax Free Income
Performance |
Timeline |
Commodities Strategy |
Sit Tax Free |
Commodities Strategy and Sit Tax Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Commodities Strategy and Sit Tax
The main advantage of trading using opposite Commodities Strategy and Sit Tax positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Commodities Strategy position performs unexpectedly, Sit Tax 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 Sit Tax will offset losses from the drop in Sit Tax's long position.Commodities Strategy vs. Basic Materials Fund | Commodities Strategy vs. Energy Services Fund | Commodities Strategy vs. Energy Fund Investor | Commodities Strategy vs. Real Estate Fund |
Sit Tax vs. Sit Minnesota Tax Free | Sit Tax vs. Sit U S | Sit Tax vs. High Yield Municipal Fund | Sit Tax vs. T Rowe Price |
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 Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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