Correlation Between Chestnut Street and Simt Small
Can any of the company-specific risk be diversified away by investing in both Chestnut Street and Simt Small 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 Chestnut Street and Simt Small into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Chestnut Street Exchange and Simt Small Cap, you can compare the effects of market volatilities on Chestnut Street and Simt Small 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 Chestnut Street with a short position of Simt Small. Check out your portfolio center. Please also check ongoing floating volatility patterns of Chestnut Street and Simt Small.
Diversification Opportunities for Chestnut Street and Simt Small
0.95 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Chestnut and Simt is 0.95. Overlapping area represents the amount of risk that can be diversified away by holding Chestnut Street Exchange and Simt Small Cap in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Simt Small Cap and Chestnut Street 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 Chestnut Street Exchange are associated (or correlated) with Simt Small. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Simt Small Cap has no effect on the direction of Chestnut Street i.e., Chestnut Street and Simt Small go up and down completely randomly.
Pair Corralation between Chestnut Street and Simt Small
Assuming the 90 days horizon Chestnut Street is expected to generate 5.96 times less return on investment than Simt Small. But when comparing it to its historical volatility, Chestnut Street Exchange is 2.53 times less risky than Simt Small. It trades about 0.06 of its potential returns per unit of risk. Simt Small Cap is currently generating about 0.14 of returns per unit of risk over similar time horizon. If you would invest 3,903 in Simt Small Cap on September 17, 2024 and sell it today you would earn a total of 104.00 from holding Simt Small Cap or generate 2.66% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Chestnut Street Exchange vs. Simt Small Cap
Performance |
Timeline |
Chestnut Street Exchange |
Simt Small Cap |
Chestnut Street and Simt Small Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Chestnut Street and Simt Small
The main advantage of trading using opposite Chestnut Street and Simt Small positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Chestnut Street position performs unexpectedly, Simt Small 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 Small will offset losses from the drop in Simt Small's long position.Chestnut Street vs. Alliancebernstein Global High | Chestnut Street vs. Scharf Global Opportunity | Chestnut Street vs. Qs Global Equity | Chestnut Street vs. Legg Mason Global |
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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 Content Syndication module to quickly integrate customizable finance content to your own investment portal.
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