Correlation Between NYSE Composite and Hersha Hospitality
Can any of the company-specific risk be diversified away by investing in both NYSE Composite and Hersha Hospitality 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 Hersha Hospitality into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between NYSE Composite and Hersha Hospitality Trust, you can compare the effects of market volatilities on NYSE Composite and Hersha Hospitality 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 Hersha Hospitality. Check out your portfolio center. Please also check ongoing floating volatility patterns of NYSE Composite and Hersha Hospitality.
Diversification Opportunities for NYSE Composite and Hersha Hospitality
0.16 | Correlation Coefficient |
Average diversification
The 3 months correlation between NYSE and Hersha is 0.16. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and Hersha Hospitality Trust in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hersha Hospitality Trust 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 Hersha Hospitality. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hersha Hospitality Trust has no effect on the direction of NYSE Composite i.e., NYSE Composite and Hersha Hospitality go up and down completely randomly.
Pair Corralation between NYSE Composite and Hersha Hospitality
Assuming the 90 days trading horizon NYSE Composite is expected to generate 0.34 times more return on investment than Hersha Hospitality. However, NYSE Composite is 2.96 times less risky than Hersha Hospitality. It trades about 0.08 of its potential returns per unit of risk. Hersha Hospitality Trust is currently generating about -0.11 per unit of risk. If you would invest 1,546,867 in NYSE Composite on August 31, 2024 and sell it today you would earn a total of 474,115 from holding NYSE Composite or generate 30.65% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 31.11% |
Values | Daily Returns |
NYSE Composite vs. Hersha Hospitality Trust
Performance |
Timeline |
NYSE Composite and Hersha Hospitality Volatility Contrast
Predicted Return Density |
Returns |
NYSE Composite
Pair trading matchups for NYSE Composite
Hersha Hospitality Trust
Pair trading matchups for Hersha Hospitality
Pair Trading with NYSE Composite and Hersha Hospitality
The main advantage of trading using opposite NYSE Composite and Hersha Hospitality positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NYSE Composite position performs unexpectedly, Hersha Hospitality 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 Hersha Hospitality will offset losses from the drop in Hersha Hospitality's long position.NYSE Composite vs. Nextplat Corp | NYSE Composite vs. Qualys Inc | NYSE Composite vs. Cadence Design Systems | NYSE Composite vs. Asure Software |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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