Correlation Between Regional Bank and Multi-index 2015
Can any of the company-specific risk be diversified away by investing in both Regional Bank and Multi-index 2015 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 Multi-index 2015 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 Multi Index 2015 Lifetime, you can compare the effects of market volatilities on Regional Bank and Multi-index 2015 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 Multi-index 2015. Check out your portfolio center. Please also check ongoing floating volatility patterns of Regional Bank and Multi-index 2015.
Diversification Opportunities for Regional Bank and Multi-index 2015
0.46 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Regional and Multi-index is 0.46. Overlapping area represents the amount of risk that can be diversified away by holding Regional Bank Fund and Multi Index 2015 Lifetime in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Multi Index 2015 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 Multi-index 2015. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Multi Index 2015 has no effect on the direction of Regional Bank i.e., Regional Bank and Multi-index 2015 go up and down completely randomly.
Pair Corralation between Regional Bank and Multi-index 2015
Assuming the 90 days horizon Regional Bank Fund is expected to generate 4.72 times more return on investment than Multi-index 2015. However, Regional Bank is 4.72 times more volatile than Multi Index 2015 Lifetime. It trades about 0.19 of its potential returns per unit of risk. Multi Index 2015 Lifetime is currently generating about 0.3 per unit of risk. If you would invest 2,559 in Regional Bank Fund on April 25, 2025 and sell it today you would earn a total of 422.00 from holding Regional Bank Fund or generate 16.49% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Regional Bank Fund vs. Multi Index 2015 Lifetime
Performance |
Timeline |
Regional Bank |
Multi Index 2015 |
Regional Bank and Multi-index 2015 Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Regional Bank and Multi-index 2015
The main advantage of trading using opposite Regional Bank and Multi-index 2015 positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Regional Bank position performs unexpectedly, Multi-index 2015 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 Multi-index 2015 will offset losses from the drop in Multi-index 2015's long position.Regional Bank vs. Advent Claymore Convertible | Regional Bank vs. Rationalpier 88 Convertible | Regional Bank vs. Columbia Convertible Securities | Regional Bank vs. Calamos Dynamic Convertible |
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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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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