Correlation Between NYSE Composite and Keeley Small-mid
Can any of the company-specific risk be diversified away by investing in both NYSE Composite and Keeley Small-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 NYSE Composite and Keeley Small-mid into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between NYSE Composite and Keeley Small Mid Cap, you can compare the effects of market volatilities on NYSE Composite and Keeley Small-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 NYSE Composite with a short position of Keeley Small-mid. Check out your portfolio center. Please also check ongoing floating volatility patterns of NYSE Composite and Keeley Small-mid.
Diversification Opportunities for NYSE Composite and Keeley Small-mid
0.17 | Correlation Coefficient |
Average diversification
The 3 months correlation between NYSE and Keeley is 0.17. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and Keeley Small Mid Cap in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Keeley Small Mid 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 Keeley Small-mid. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Keeley Small Mid has no effect on the direction of NYSE Composite i.e., NYSE Composite and Keeley Small-mid go up and down completely randomly.
Pair Corralation between NYSE Composite and Keeley Small-mid
Assuming the 90 days trading horizon NYSE Composite is expected to generate 0.62 times more return on investment than Keeley Small-mid. However, NYSE Composite is 1.62 times less risky than Keeley Small-mid. It trades about -0.05 of its potential returns per unit of risk. Keeley Small Mid Cap is currently generating about -0.21 per unit of risk. If you would invest 1,998,000 in NYSE Composite on November 27, 2024 and sell it today you would lose (12,080) from holding NYSE Composite or give up 0.6% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
NYSE Composite vs. Keeley Small Mid Cap
Performance |
Timeline |
NYSE Composite and Keeley Small-mid Volatility Contrast
Predicted Return Density |
Returns |
NYSE Composite
Pair trading matchups for NYSE Composite
Keeley Small Mid Cap
Pair trading matchups for Keeley Small-mid
Pair Trading with NYSE Composite and Keeley Small-mid
The main advantage of trading using opposite NYSE Composite and Keeley Small-mid positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NYSE Composite position performs unexpectedly, Keeley Small-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 Keeley Small-mid will offset losses from the drop in Keeley Small-mid's long position.NYSE Composite vs. Unum Group | NYSE Composite vs. Palomar Holdings | NYSE Composite vs. Fidelity National Financial | NYSE Composite vs. ZW Data Action |
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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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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