Correlation Between NYSE Composite and Sit Small
Can any of the company-specific risk be diversified away by investing in both NYSE Composite and Sit 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 NYSE Composite and Sit Small into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between NYSE Composite and Sit Small Cap, you can compare the effects of market volatilities on NYSE Composite and Sit 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 NYSE Composite with a short position of Sit Small. Check out your portfolio center. Please also check ongoing floating volatility patterns of NYSE Composite and Sit Small.
Diversification Opportunities for NYSE Composite and Sit Small
0.84 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between NYSE and Sit is 0.84. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and Sit Small Cap in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sit Small Cap and NYSE Composite 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 NYSE Composite are associated (or correlated) with Sit Small. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sit Small Cap has no effect on the direction of NYSE Composite i.e., NYSE Composite and Sit Small go up and down completely randomly.
Pair Corralation between NYSE Composite and Sit Small
Assuming the 90 days trading horizon NYSE Composite is expected to generate 1.72 times less return on investment than Sit Small. But when comparing it to its historical volatility, NYSE Composite is 1.4 times less risky than Sit Small. It trades about 0.08 of its potential returns per unit of risk. Sit Small Cap is currently generating about 0.1 of returns per unit of risk over similar time horizon. If you would invest 1,544 in Sit Small Cap on February 25, 2024 and sell it today you would earn a total of 84.00 from holding Sit Small Cap or generate 5.44% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 98.46% |
Values | Daily Returns |
NYSE Composite vs. Sit Small Cap
Performance |
Timeline |
NYSE Composite and Sit Small Volatility Contrast
Predicted Return Density |
Returns |
NYSE Composite
Pair trading matchups for NYSE Composite
Sit Small Cap
Pair trading matchups for Sit Small
Pair Trading with NYSE Composite and Sit Small
The main advantage of trading using opposite NYSE Composite and Sit Small positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NYSE Composite position performs unexpectedly, Sit 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 Sit Small will offset losses from the drop in Sit Small's long position.NYSE Composite vs. Calliditas Therapeutics | NYSE Composite vs. SunLink Health Systems | NYSE Composite vs. Neogen | NYSE Composite vs. Teleflex Incorporated |
Sit Small vs. Sit Small Cap | Sit Small vs. Sit Global Dividend | Sit Small vs. Sit Global Dividend | Sit Small vs. Sit Small Cap |
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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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