Correlation Between Financial Industries and Regional Bank
Can any of the company-specific risk be diversified away by investing in both Financial Industries and Regional 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 Financial Industries and Regional Bank into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Financial Industries Fund and Regional Bank Fund, you can compare the effects of market volatilities on Financial Industries and Regional 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 Financial Industries with a short position of Regional Bank. Check out your portfolio center. Please also check ongoing floating volatility patterns of Financial Industries and Regional Bank.
Diversification Opportunities for Financial Industries and Regional Bank
0.96 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Financial and Regional is 0.96. Overlapping area represents the amount of risk that can be diversified away by holding Financial Industries Fund and Regional Bank Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Regional Bank and Financial Industries 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 Financial Industries Fund are associated (or correlated) with Regional Bank. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Regional Bank has no effect on the direction of Financial Industries i.e., Financial Industries and Regional Bank go up and down completely randomly.
Pair Corralation between Financial Industries and Regional Bank
Assuming the 90 days horizon Financial Industries is expected to generate 1.25 times less return on investment than Regional Bank. But when comparing it to its historical volatility, Financial Industries Fund is 1.54 times less risky than Regional Bank. It trades about 0.19 of its potential returns per unit of risk. Regional Bank Fund is currently generating about 0.15 of returns per unit of risk over similar time horizon. If you would invest 2,756 in Regional Bank Fund on September 12, 2024 and sell it today you would earn a total of 548.00 from holding Regional Bank Fund or generate 19.88% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Financial Industries Fund vs. Regional Bank Fund
Performance |
Timeline |
Financial Industries |
Regional Bank |
Financial Industries and Regional Bank Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Financial Industries and Regional Bank
The main advantage of trading using opposite Financial Industries and Regional Bank positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Financial Industries position performs unexpectedly, Regional 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 Regional Bank will offset losses from the drop in Regional Bank's long position.Financial Industries vs. Vanguard Financials Index | Financial Industries vs. Regional Bank Fund | Financial Industries vs. Regional Bank Fund | Financial Industries vs. T Rowe Price |
Regional Bank vs. Metropolitan West High | Regional Bank vs. Morningstar Aggressive Growth | Regional Bank vs. Lgm Risk Managed | Regional Bank vs. Siit High Yield |
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 Pair Correlation module to compare performance and examine fundamental relationship between any two equity instruments.
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