Correlation Between Provident Bancorp and Lake Shore
Can any of the company-specific risk be diversified away by investing in both Provident Bancorp and Lake Shore 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 Provident Bancorp and Lake Shore into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Provident Bancorp and Lake Shore Bancorp, you can compare the effects of market volatilities on Provident Bancorp and Lake Shore 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 Provident Bancorp with a short position of Lake Shore. Check out your portfolio center. Please also check ongoing floating volatility patterns of Provident Bancorp and Lake Shore.
Diversification Opportunities for Provident Bancorp and Lake Shore
0.34 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Provident and Lake is 0.34. Overlapping area represents the amount of risk that can be diversified away by holding Provident Bancorp and Lake Shore Bancorp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Lake Shore Bancorp and Provident 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 Provident Bancorp are associated (or correlated) with Lake Shore. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Lake Shore Bancorp has no effect on the direction of Provident Bancorp i.e., Provident Bancorp and Lake Shore go up and down completely randomly.
Pair Corralation between Provident Bancorp and Lake Shore
Given the investment horizon of 90 days Provident Bancorp is expected to generate 1.18 times more return on investment than Lake Shore. However, Provident Bancorp is 1.18 times more volatile than Lake Shore Bancorp. It trades about 0.05 of its potential returns per unit of risk. Lake Shore Bancorp is currently generating about 0.03 per unit of risk. If you would invest 750.00 in Provident Bancorp on September 3, 2024 and sell it today you would earn a total of 417.00 from holding Provident Bancorp or generate 55.6% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 96.77% |
Values | Daily Returns |
Provident Bancorp vs. Lake Shore Bancorp
Performance |
Timeline |
Provident Bancorp |
Lake Shore Bancorp |
Provident Bancorp and Lake Shore Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Provident Bancorp and Lake Shore
The main advantage of trading using opposite Provident Bancorp and Lake Shore positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Provident Bancorp position performs unexpectedly, Lake Shore 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 Lake Shore will offset losses from the drop in Lake Shore's long position.Provident Bancorp vs. Home Federal Bancorp | Provident Bancorp vs. Community West Bancshares | Provident Bancorp vs. First Financial Northwest | Provident Bancorp vs. First Northwest Bancorp |
Lake Shore vs. Home Federal Bancorp | Lake Shore vs. Magyar Bancorp | Lake Shore vs. Community West Bancshares |
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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