Correlation Between Village Bank and Ottawa Savings
Can any of the company-specific risk be diversified away by investing in both Village Bank and Ottawa 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 Village Bank and Ottawa Savings into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Village Bank and and Ottawa Savings Bancorp, you can compare the effects of market volatilities on Village Bank and Ottawa 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 Village Bank with a short position of Ottawa Savings. Check out your portfolio center. Please also check ongoing floating volatility patterns of Village Bank and Ottawa Savings.
Diversification Opportunities for Village Bank and Ottawa Savings
-0.46 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Village and Ottawa is -0.46. Overlapping area represents the amount of risk that can be diversified away by holding Village Bank and and Ottawa Savings Bancorp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ottawa Savings Bancorp and Village Bank 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 Village Bank and are associated (or correlated) with Ottawa Savings. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ottawa Savings Bancorp has no effect on the direction of Village Bank i.e., Village Bank and Ottawa Savings go up and down completely randomly.
Pair Corralation between Village Bank and Ottawa Savings
If you would invest 7,702 in Village Bank and on September 25, 2024 and sell it today you would earn a total of 108.00 from holding Village Bank and or generate 1.4% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 10.0% |
Values | Daily Returns |
Village Bank and vs. Ottawa Savings Bancorp
Performance |
Timeline |
Village Bank |
Ottawa Savings Bancorp |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
Village Bank and Ottawa Savings Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Village Bank and Ottawa Savings
The main advantage of trading using opposite Village Bank and Ottawa Savings positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Village Bank position performs unexpectedly, Ottawa 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 Ottawa Savings will offset losses from the drop in Ottawa Savings' long position.The idea behind Village Bank and and Ottawa Savings Bancorp pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.Ottawa Savings vs. Lake Shore Bancorp | Ottawa Savings vs. IF Bancorp | Ottawa Savings vs. Home Federal 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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