Correlation Between NYSE Composite and ST Bancorp
Can any of the company-specific risk be diversified away by investing in both NYSE Composite and ST Bancorp 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 ST Bancorp into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between NYSE Composite and ST Bancorp, you can compare the effects of market volatilities on NYSE Composite and ST Bancorp 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 ST Bancorp. Check out your portfolio center. Please also check ongoing floating volatility patterns of NYSE Composite and ST Bancorp.
Diversification Opportunities for NYSE Composite and ST Bancorp
0.67 | Correlation Coefficient |
Poor diversification
The 3 months correlation between NYSE and STBA is 0.67. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and ST Bancorp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ST Bancorp 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 ST Bancorp. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ST Bancorp has no effect on the direction of NYSE Composite i.e., NYSE Composite and ST Bancorp go up and down completely randomly.
Pair Corralation between NYSE Composite and ST Bancorp
Assuming the 90 days trading horizon NYSE Composite is expected to generate 0.3 times more return on investment than ST Bancorp. However, NYSE Composite is 3.31 times less risky than ST Bancorp. It trades about 0.09 of its potential returns per unit of risk. ST Bancorp is currently generating about -0.03 per unit of risk. If you would invest 1,901,742 in NYSE Composite on November 2, 2024 and sell it today you would earn a total of 114,880 from holding NYSE Composite or generate 6.04% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
NYSE Composite vs. ST Bancorp
Performance |
| Timeline |
NYSE Composite and ST Bancorp Volatility Contrast
Predicted Return Density |
| Returns |
NYSE Composite
Pair trading matchups for NYSE Composite
ST Bancorp
Pair trading matchups for ST Bancorp
Pair Trading with NYSE Composite and ST Bancorp
The main advantage of trading using opposite NYSE Composite and ST Bancorp positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NYSE Composite position performs unexpectedly, ST Bancorp 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 ST Bancorp will offset losses from the drop in ST Bancorp's long position.| NYSE Composite vs. Western Copper and | NYSE Composite vs. Chemours Co | NYSE Composite vs. IPG Photonics | NYSE Composite vs. Morgan Advanced Materials |
| ST Bancorp vs. CrossFirst Bankshares | ST Bancorp vs. Enterprise Financial Services | ST Bancorp vs. The First Bancshares, | ST Bancorp vs. First Bancorp |
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 Money Managers module to screen money managers from public funds and ETFs managed around the world.
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