Correlation Between Regional Bank and Financial Services
Can any of the company-specific risk be diversified away by investing in both Regional Bank and Financial Services 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 Regional Bank and Financial Services into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Regional Bank Fund and Financial Services Portfolio, you can compare the effects of market volatilities on Regional Bank and Financial Services 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 Regional Bank with a short position of Financial Services. Check out your portfolio center. Please also check ongoing floating volatility patterns of Regional Bank and Financial Services.
Diversification Opportunities for Regional Bank and Financial Services
0.86 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Regional and Financial is 0.86. Overlapping area represents the amount of risk that can be diversified away by holding Regional Bank Fund and Financial Services Portfolio in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Financial Services and Regional 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 Regional Bank Fund are associated (or correlated) with Financial Services. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Financial Services has no effect on the direction of Regional Bank i.e., Regional Bank and Financial Services go up and down completely randomly.
Pair Corralation between Regional Bank and Financial Services
Assuming the 90 days horizon Regional Bank Fund is expected to under-perform the Financial Services. In addition to that, Regional Bank is 1.25 times more volatile than Financial Services Portfolio. It trades about -0.07 of its total potential returns per unit of risk. Financial Services Portfolio is currently generating about -0.01 per unit of volatility. If you would invest 1,181 in Financial Services Portfolio on December 30, 2024 and sell it today you would lose (11.00) from holding Financial Services Portfolio or give up 0.93% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Regional Bank Fund vs. Financial Services Portfolio
Performance |
Timeline |
Regional Bank |
Financial Services |
Regional Bank and Financial Services Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Regional Bank and Financial Services
The main advantage of trading using opposite Regional Bank and Financial Services positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Regional Bank position performs unexpectedly, Financial Services 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 Financial Services will offset losses from the drop in Financial Services' long position.Regional Bank vs. Scharf Global Opportunity | Regional Bank vs. Fznopx | Regional Bank vs. Ab Global Risk | Regional Bank vs. Versatile Bond Portfolio |
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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 Portfolio Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
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