Correlation Between NYSE Composite and Ponce Financial
Can any of the company-specific risk be diversified away by investing in both NYSE Composite and Ponce Financial 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 Ponce Financial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between NYSE Composite and Ponce Financial Group, you can compare the effects of market volatilities on NYSE Composite and Ponce Financial 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 Ponce Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of NYSE Composite and Ponce Financial.
Diversification Opportunities for NYSE Composite and Ponce Financial
0.32 | Correlation Coefficient |
Weak diversification
The 3 months correlation between NYSE and Ponce is 0.32. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and Ponce Financial Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ponce Financial Group 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 Ponce Financial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ponce Financial Group has no effect on the direction of NYSE Composite i.e., NYSE Composite and Ponce Financial go up and down completely randomly.
Pair Corralation between NYSE Composite and Ponce Financial
Assuming the 90 days trading horizon NYSE Composite is expected to generate 2.87 times less return on investment than Ponce Financial. But when comparing it to its historical volatility, NYSE Composite is 2.7 times less risky than Ponce Financial. It trades about 0.09 of its potential returns per unit of risk. Ponce Financial Group is currently generating about 0.1 of returns per unit of risk over similar time horizon. If you would invest 884.00 in Ponce Financial Group on October 9, 2024 and sell it today you would earn a total of 420.00 from holding Ponce Financial Group or generate 47.51% 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. Ponce Financial Group
Performance |
Timeline |
NYSE Composite and Ponce Financial Volatility Contrast
Predicted Return Density |
Returns |
NYSE Composite
Pair trading matchups for NYSE Composite
Ponce Financial Group
Pair trading matchups for Ponce Financial
Pair Trading with NYSE Composite and Ponce Financial
The main advantage of trading using opposite NYSE Composite and Ponce Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NYSE Composite position performs unexpectedly, Ponce Financial 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 Ponce Financial will offset losses from the drop in Ponce Financial's long position.NYSE Composite vs. Zumiez Inc | NYSE Composite vs. Dennys Corp | NYSE Composite vs. Boyd Gaming | NYSE Composite vs. Triumph Apparel |
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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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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