Correlation Between NYSE Composite and Siit Emerging
Can any of the company-specific risk be diversified away by investing in both NYSE Composite and Siit Emerging 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 Siit Emerging into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between NYSE Composite and Siit Emerging Markets, you can compare the effects of market volatilities on NYSE Composite and Siit Emerging 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 Siit Emerging. Check out your portfolio center. Please also check ongoing floating volatility patterns of NYSE Composite and Siit Emerging.
Diversification Opportunities for NYSE Composite and Siit Emerging
0.35 | Correlation Coefficient |
Weak diversification
The 3 months correlation between NYSE and Siit is 0.35. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and Siit Emerging Markets in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Siit Emerging Markets 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 Siit Emerging. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Siit Emerging Markets has no effect on the direction of NYSE Composite i.e., NYSE Composite and Siit Emerging go up and down completely randomly.
Pair Corralation between NYSE Composite and Siit Emerging
Assuming the 90 days trading horizon NYSE Composite is expected to generate 2.18 times less return on investment than Siit Emerging. But when comparing it to its historical volatility, NYSE Composite is 1.19 times less risky than Siit Emerging. It trades about 0.02 of its potential returns per unit of risk. Siit Emerging Markets is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest 929.00 in Siit Emerging Markets on December 29, 2024 and sell it today you would earn a total of 22.00 from holding Siit Emerging Markets or generate 2.37% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
NYSE Composite vs. Siit Emerging Markets
Performance |
Timeline |
NYSE Composite and Siit Emerging Volatility Contrast
Predicted Return Density |
Returns |
NYSE Composite
Pair trading matchups for NYSE Composite
Siit Emerging Markets
Pair trading matchups for Siit Emerging
Pair Trading with NYSE Composite and Siit Emerging
The main advantage of trading using opposite NYSE Composite and Siit Emerging positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NYSE Composite position performs unexpectedly, Siit Emerging 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 Siit Emerging will offset losses from the drop in Siit Emerging's long position.NYSE Composite vs. Cimpress NV | NYSE Composite vs. NorthWestern | NYSE Composite vs. BOS Better Online | NYSE Composite vs. California Water Service |
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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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
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