Correlation Between Financial Industries and Municipal Total
Can any of the company-specific risk be diversified away by investing in both Financial Industries and Municipal Total 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 Municipal Total 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 Municipal Total Return, you can compare the effects of market volatilities on Financial Industries and Municipal Total 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 Municipal Total. Check out your portfolio center. Please also check ongoing floating volatility patterns of Financial Industries and Municipal Total.
Diversification Opportunities for Financial Industries and Municipal Total
0.46 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Financial and Municipal is 0.46. Overlapping area represents the amount of risk that can be diversified away by holding Financial Industries Fund and Municipal Total Return in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Municipal Total Return 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 Municipal Total. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Municipal Total Return has no effect on the direction of Financial Industries i.e., Financial Industries and Municipal Total go up and down completely randomly.
Pair Corralation between Financial Industries and Municipal Total
Assuming the 90 days horizon Financial Industries Fund is expected to under-perform the Municipal Total. In addition to that, Financial Industries is 8.58 times more volatile than Municipal Total Return. It trades about -0.31 of its total potential returns per unit of risk. Municipal Total Return is currently generating about -0.36 per unit of volatility. If you would invest 1,031 in Municipal Total Return on October 10, 2024 and sell it today you would lose (17.00) from holding Municipal Total Return or give up 1.65% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Financial Industries Fund vs. Municipal Total Return
Performance |
Timeline |
Financial Industries |
Municipal Total Return |
Financial Industries and Municipal Total Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Financial Industries and Municipal Total
The main advantage of trading using opposite Financial Industries and Municipal Total positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Financial Industries position performs unexpectedly, Municipal Total 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 Municipal Total will offset losses from the drop in Municipal Total's long position.Financial Industries vs. Dreyfus Government Cash | Financial Industries vs. American Funds Government | Financial Industries vs. Voya Government Money | Financial Industries vs. Inverse Government Long |
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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 Pair Correlation module to compare performance and examine fundamental relationship between any two equity instruments.
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