Correlation Between NSTS Bancorp and Oconee Federal
Can any of the company-specific risk be diversified away by investing in both NSTS Bancorp and Oconee Federal 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 NSTS Bancorp and Oconee Federal into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between NSTS Bancorp and Oconee Federal Financial, you can compare the effects of market volatilities on NSTS Bancorp and Oconee Federal 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 NSTS Bancorp with a short position of Oconee Federal. Check out your portfolio center. Please also check ongoing floating volatility patterns of NSTS Bancorp and Oconee Federal.
Diversification Opportunities for NSTS Bancorp and Oconee Federal
-0.82 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between NSTS and Oconee is -0.82. Overlapping area represents the amount of risk that can be diversified away by holding NSTS Bancorp and Oconee Federal Financial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Oconee Federal Financial and NSTS Bancorp 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 NSTS Bancorp are associated (or correlated) with Oconee Federal. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Oconee Federal Financial has no effect on the direction of NSTS Bancorp i.e., NSTS Bancorp and Oconee Federal go up and down completely randomly.
Pair Corralation between NSTS Bancorp and Oconee Federal
Given the investment horizon of 90 days NSTS Bancorp is expected to generate 0.48 times more return on investment than Oconee Federal. However, NSTS Bancorp is 2.09 times less risky than Oconee Federal. It trades about 0.03 of its potential returns per unit of risk. Oconee Federal Financial is currently generating about -0.12 per unit of risk. If you would invest 1,020 in NSTS Bancorp on September 28, 2024 and sell it today you would earn a total of 159.00 from holding NSTS Bancorp or generate 15.59% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 27.42% |
Values | Daily Returns |
NSTS Bancorp vs. Oconee Federal Financial
Performance |
Timeline |
NSTS Bancorp |
Oconee Federal Financial |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
NSTS Bancorp and Oconee Federal Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with NSTS Bancorp and Oconee Federal
The main advantage of trading using opposite NSTS Bancorp and Oconee Federal positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NSTS Bancorp position performs unexpectedly, Oconee Federal 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 Oconee Federal will offset losses from the drop in Oconee Federal's long position.NSTS Bancorp vs. Home Federal Bancorp | NSTS Bancorp vs. Magyar Bancorp | NSTS Bancorp vs. Community West Bancshares |
Oconee Federal vs. Home Federal Bancorp | Oconee Federal vs. Community West Bancshares | Oconee Federal vs. Magyar 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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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