Correlation Between Old Point and Chemung Financial
Can any of the company-specific risk be diversified away by investing in both Old Point and Chemung 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 Old Point and Chemung Financial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Old Point Financial and Chemung Financial Corp, you can compare the effects of market volatilities on Old Point and Chemung 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 Old Point with a short position of Chemung Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Old Point and Chemung Financial.
Diversification Opportunities for Old Point and Chemung Financial
0.39 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Old and Chemung is 0.39. Overlapping area represents the amount of risk that can be diversified away by holding Old Point Financial and Chemung Financial Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Chemung Financial Corp and Old Point 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 Old Point Financial are associated (or correlated) with Chemung Financial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Chemung Financial Corp has no effect on the direction of Old Point i.e., Old Point and Chemung Financial go up and down completely randomly.
Pair Corralation between Old Point and Chemung Financial
Given the investment horizon of 90 days Old Point Financial is expected to generate 1.98 times more return on investment than Chemung Financial. However, Old Point is 1.98 times more volatile than Chemung Financial Corp. It trades about 0.15 of its potential returns per unit of risk. Chemung Financial Corp is currently generating about -0.69 per unit of risk. If you would invest 2,400 in Old Point Financial on October 12, 2024 and sell it today you would earn a total of 172.00 from holding Old Point Financial or generate 7.17% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Old Point Financial vs. Chemung Financial Corp
Performance |
Timeline |
Old Point Financial |
Chemung Financial Corp |
Old Point and Chemung Financial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Old Point and Chemung Financial
The main advantage of trading using opposite Old Point and Chemung Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Old Point position performs unexpectedly, Chemung 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 Chemung Financial will offset losses from the drop in Chemung Financial's long position.Old Point vs. First Community | Old Point vs. Oak Valley Bancorp | Old Point vs. Chemung Financial Corp | Old Point vs. Home Bancorp |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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