Correlation Between Mid Penn and National Bank
Can any of the company-specific risk be diversified away by investing in both Mid Penn and National Bank 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 Mid Penn and National Bank into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Mid Penn Bancorp and National Bank Holdings, you can compare the effects of market volatilities on Mid Penn and National Bank 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 Mid Penn with a short position of National Bank. Check out your portfolio center. Please also check ongoing floating volatility patterns of Mid Penn and National Bank.
Diversification Opportunities for Mid Penn and National Bank
0.81 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Mid and National is 0.81. Overlapping area represents the amount of risk that can be diversified away by holding Mid Penn Bancorp and National Bank Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on National Bank Holdings and Mid Penn 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 Mid Penn Bancorp are associated (or correlated) with National Bank. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of National Bank Holdings has no effect on the direction of Mid Penn i.e., Mid Penn and National Bank go up and down completely randomly.
Pair Corralation between Mid Penn and National Bank
Considering the 90-day investment horizon Mid Penn Bancorp is expected to generate 1.05 times more return on investment than National Bank. However, Mid Penn is 1.05 times more volatile than National Bank Holdings. It trades about -0.13 of its potential returns per unit of risk. National Bank Holdings is currently generating about -0.15 per unit of risk. If you would invest 3,200 in Mid Penn Bancorp on November 30, 2024 and sell it today you would lose (360.00) from holding Mid Penn Bancorp or give up 11.25% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Mid Penn Bancorp vs. National Bank Holdings
Performance |
Timeline |
Mid Penn Bancorp |
National Bank Holdings |
Mid Penn and National Bank Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Mid Penn and National Bank
The main advantage of trading using opposite Mid Penn and National Bank positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Mid Penn position performs unexpectedly, National Bank 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 National Bank will offset losses from the drop in National Bank's long position.Mid Penn vs. Affinity Bancshares | Mid Penn vs. Home Federal Bancorp | Mid Penn vs. Franklin Financial Services | Mid Penn vs. ACNB Corporation |
National Bank vs. First Community | National Bank vs. Community West Bancshares | National Bank vs. First Financial Northwest | National Bank vs. First Northwest 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 Stock Screener module to find equities using a custom stock filter or screen asymmetry in trading patterns, price, volume, or investment outlook..
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