Correlation Between First Northwest and Old Point
Can any of the company-specific risk be diversified away by investing in both First Northwest and Old Point 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 First Northwest and Old Point into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between First Northwest Bancorp and Old Point Financial, you can compare the effects of market volatilities on First Northwest and Old Point 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 First Northwest with a short position of Old Point. Check out your portfolio center. Please also check ongoing floating volatility patterns of First Northwest and Old Point.
Diversification Opportunities for First Northwest and Old Point
0.33 | Correlation Coefficient |
Weak diversification
The 3 months correlation between First and Old is 0.33. Overlapping area represents the amount of risk that can be diversified away by holding First Northwest Bancorp and Old Point Financial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Old Point Financial and First Northwest 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 First Northwest Bancorp are associated (or correlated) with Old Point. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Old Point Financial has no effect on the direction of First Northwest i.e., First Northwest and Old Point go up and down completely randomly.
Pair Corralation between First Northwest and Old Point
Given the investment horizon of 90 days First Northwest Bancorp is expected to under-perform the Old Point. But the stock apears to be less risky and, when comparing its historical volatility, First Northwest Bancorp is 1.41 times less risky than Old Point. The stock trades about -0.05 of its potential returns per unit of risk. The Old Point Financial is currently generating about 0.39 of returns per unit of risk over similar time horizon. If you would invest 2,029 in Old Point Financial on September 21, 2024 and sell it today you would earn a total of 459.00 from holding Old Point Financial or generate 22.62% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
First Northwest Bancorp vs. Old Point Financial
Performance |
Timeline |
First Northwest Bancorp |
Old Point Financial |
First Northwest and Old Point Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with First Northwest and Old Point
The main advantage of trading using opposite First Northwest and Old Point positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if First Northwest position performs unexpectedly, Old Point 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 Old Point will offset losses from the drop in Old Point's long position.First Northwest vs. Home Federal Bancorp | First Northwest vs. First Financial Northwest | First Northwest vs. First Capital | First Northwest vs. Community West Bancshares |
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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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