Correlation Between NYSE Composite and Hartford Small
Can any of the company-specific risk be diversified away by investing in both NYSE Composite and Hartford 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 Hartford 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 Hartford Small Cap, you can compare the effects of market volatilities on NYSE Composite and Hartford 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 Hartford Small. Check out your portfolio center. Please also check ongoing floating volatility patterns of NYSE Composite and Hartford Small.
Diversification Opportunities for NYSE Composite and Hartford Small
0.39 | Correlation Coefficient |
Weak diversification
The 3 months correlation between NYSE and Hartford is 0.39. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and Hartford Small Cap in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hartford 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 Hartford Small. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hartford Small Cap has no effect on the direction of NYSE Composite i.e., NYSE Composite and Hartford Small go up and down completely randomly.
Pair Corralation between NYSE Composite and Hartford Small
Assuming the 90 days trading horizon NYSE Composite is expected to generate 0.58 times more return on investment than Hartford Small. However, NYSE Composite is 1.73 times less risky than Hartford Small. It trades about 0.02 of its potential returns per unit of risk. Hartford Small Cap is currently generating about -0.14 per unit of risk. If you would invest 1,907,793 in NYSE Composite on December 30, 2024 and sell it today you would earn a total of 19,237 from holding NYSE Composite or generate 1.01% 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. Hartford Small Cap
Performance |
Timeline |
NYSE Composite and Hartford Small Volatility Contrast
Predicted Return Density |
Returns |
NYSE Composite
Pair trading matchups for NYSE Composite
Hartford Small Cap
Pair trading matchups for Hartford Small
Pair Trading with NYSE Composite and Hartford Small
The main advantage of trading using opposite NYSE Composite and Hartford Small positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NYSE Composite position performs unexpectedly, Hartford 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 Hartford Small will offset losses from the drop in Hartford Small's long position.NYSE Composite vs. Corby Spirit and | NYSE Composite vs. Church Dwight | NYSE Composite vs. Nascent Wine | NYSE Composite vs. Crocs Inc |
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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 Pair Correlation module to compare performance and examine fundamental relationship between any two equity instruments.
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