Correlation Between Swiss Helvetia and Simt Mid
Can any of the company-specific risk be diversified away by investing in both Swiss Helvetia and Simt Mid 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 Swiss Helvetia and Simt Mid into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Swiss Helvetia Closed and Simt Mid Cap, you can compare the effects of market volatilities on Swiss Helvetia and Simt Mid 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 Swiss Helvetia with a short position of Simt Mid. Check out your portfolio center. Please also check ongoing floating volatility patterns of Swiss Helvetia and Simt Mid.
Diversification Opportunities for Swiss Helvetia and Simt Mid
0.48 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Swiss and Simt is 0.48. Overlapping area represents the amount of risk that can be diversified away by holding Swiss Helvetia Closed and Simt Mid Cap in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Simt Mid Cap and Swiss Helvetia 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 Swiss Helvetia Closed are associated (or correlated) with Simt Mid. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Simt Mid Cap has no effect on the direction of Swiss Helvetia i.e., Swiss Helvetia and Simt Mid go up and down completely randomly.
Pair Corralation between Swiss Helvetia and Simt Mid
Considering the 90-day investment horizon Swiss Helvetia Closed is expected to under-perform the Simt Mid. But the fund apears to be less risky and, when comparing its historical volatility, Swiss Helvetia Closed is 1.33 times less risky than Simt Mid. The fund trades about -0.08 of its potential returns per unit of risk. The Simt Mid Cap is currently generating about -0.04 of returns per unit of risk over similar time horizon. If you would invest 3,221 in Simt Mid Cap on August 22, 2025 and sell it today you would lose (74.00) from holding Simt Mid Cap or give up 2.3% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 98.44% |
| Values | Daily Returns |
Swiss Helvetia Closed vs. Simt Mid Cap
Performance |
| Timeline |
| Swiss Helvetia Closed |
| Simt Mid Cap |
Swiss Helvetia and Simt Mid Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Swiss Helvetia and Simt Mid
The main advantage of trading using opposite Swiss Helvetia and Simt Mid positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Swiss Helvetia position performs unexpectedly, Simt Mid 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 Simt Mid will offset losses from the drop in Simt Mid's long position.| Swiss Helvetia vs. Hennessy Bp Midstream | Swiss Helvetia vs. Amg Frontier Small | Swiss Helvetia vs. Ariel Focus Fund | Swiss Helvetia vs. Consumer Services Ultrasector |
| Simt Mid vs. Simt Mid Cap | Simt Mid vs. Simt Mid Cap | Simt Mid vs. Amg River Road | Simt Mid vs. Hennessy Bp Midstream |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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