Correlation Between Ab Small and California Municipal
Can any of the company-specific risk be diversified away by investing in both Ab Small and California Municipal 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 Ab Small and California Municipal into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ab Small Cap and California Municipal Portfolio, you can compare the effects of market volatilities on Ab Small and California Municipal 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 Ab Small with a short position of California Municipal. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ab Small and California Municipal.
Diversification Opportunities for Ab Small and California Municipal
-0.38 | Correlation Coefficient |
Very good diversification
The 3 months correlation between SCYVX and California is -0.38. Overlapping area represents the amount of risk that can be diversified away by holding Ab Small Cap and California Municipal Portfolio in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on California Municipal and Ab Small 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 Ab Small Cap are associated (or correlated) with California Municipal. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of California Municipal has no effect on the direction of Ab Small i.e., Ab Small and California Municipal go up and down completely randomly.
Pair Corralation between Ab Small and California Municipal
Assuming the 90 days horizon Ab Small Cap is expected to generate 7.74 times more return on investment than California Municipal. However, Ab Small is 7.74 times more volatile than California Municipal Portfolio. It trades about 0.12 of its potential returns per unit of risk. California Municipal Portfolio is currently generating about 0.05 per unit of risk. If you would invest 1,491 in Ab Small Cap on September 2, 2024 and sell it today you would earn a total of 149.00 from holding Ab Small Cap or generate 9.99% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Ab Small Cap vs. California Municipal Portfolio
Performance |
Timeline |
Ab Small Cap |
California Municipal |
Ab Small and California Municipal Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ab Small and California Municipal
The main advantage of trading using opposite Ab Small and California Municipal positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ab Small position performs unexpectedly, California Municipal 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 California Municipal will offset losses from the drop in California Municipal's long position.Ab Small vs. American Funds Conservative | Ab Small vs. Jhancock Diversified Macro | Ab Small vs. Aqr Diversified Arbitrage | Ab Small vs. Calvert Conservative Allocation |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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