Correlation Between Ultra Short and California Bond
Can any of the company-specific risk be diversified away by investing in both Ultra Short and California Bond 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 Ultra Short and California Bond into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ultra Short Term Fixed and California Bond Fund, you can compare the effects of market volatilities on Ultra Short and California Bond 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 Ultra Short with a short position of California Bond. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ultra Short and California Bond.
Diversification Opportunities for Ultra Short and California Bond
-0.21 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Ultra and California is -0.21. Overlapping area represents the amount of risk that can be diversified away by holding Ultra Short Term Fixed and California Bond Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on California Bond and Ultra Short 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 Ultra Short Term Fixed are associated (or correlated) with California Bond. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of California Bond has no effect on the direction of Ultra Short i.e., Ultra Short and California Bond go up and down completely randomly.
Pair Corralation between Ultra Short and California Bond
Assuming the 90 days horizon Ultra Short Term Fixed is expected to generate 0.12 times more return on investment than California Bond. However, Ultra Short Term Fixed is 8.06 times less risky than California Bond. It trades about 0.52 of its potential returns per unit of risk. California Bond Fund is currently generating about -0.03 per unit of risk. If you would invest 964.00 in Ultra Short Term Fixed on October 22, 2024 and sell it today you would earn a total of 13.00 from holding Ultra Short Term Fixed or generate 1.35% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Ultra Short Term Fixed vs. California Bond Fund
Performance |
Timeline |
Ultra Short Term |
California Bond |
Ultra Short and California Bond Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ultra Short and California Bond
The main advantage of trading using opposite Ultra Short and California Bond positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ultra Short position performs unexpectedly, California Bond 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 Bond will offset losses from the drop in California Bond's long position.Ultra Short vs. Barings Emerging Markets | Ultra Short vs. Ab All Market | Ultra Short vs. Franklin Emerging Market | Ultra Short vs. Ashmore Emerging Markets |
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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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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