Correlation Between Old Point and First Savings
Can any of the company-specific risk be diversified away by investing in both Old Point and First Savings 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 First Savings 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 First Savings Financial, you can compare the effects of market volatilities on Old Point and First Savings 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 First Savings. Check out your portfolio center. Please also check ongoing floating volatility patterns of Old Point and First Savings.
Diversification Opportunities for Old Point and First Savings
-0.11 | Correlation Coefficient |
Good diversification
The 3 months correlation between Old and First is -0.11. Overlapping area represents the amount of risk that can be diversified away by holding Old Point Financial and First Savings Financial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on First Savings Financial 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 First Savings. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of First Savings Financial has no effect on the direction of Old Point i.e., Old Point and First Savings go up and down completely randomly.
Pair Corralation between Old Point and First Savings
Given the investment horizon of 90 days Old Point Financial is expected to generate 0.81 times more return on investment than First Savings. However, Old Point Financial is 1.24 times less risky than First Savings. It trades about 0.04 of its potential returns per unit of risk. First Savings Financial is currently generating about -0.08 per unit of risk. If you would invest 3,928 in Old Point Financial on May 3, 2025 and sell it today you would earn a total of 87.00 from holding Old Point Financial or generate 2.21% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 98.39% |
Values | Daily Returns |
Old Point Financial vs. First Savings Financial
Performance |
Timeline |
Old Point Financial |
First Savings Financial |
Old Point and First Savings Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Old Point and First Savings
The main advantage of trading using opposite Old Point and First Savings positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Old Point position performs unexpectedly, First Savings 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 First Savings will offset losses from the drop in First Savings' long position.Old Point vs. National Bankshares | Old Point vs. Home Federal Bancorp | Old Point vs. Ohio Valley Banc | Old Point vs. Peoples Bancorp of |
First Savings vs. First Capital | First Savings vs. Home Federal Bancorp | First Savings vs. FS Bancorp | First Savings vs. Eagle Bancorp Montana |
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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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