Correlation Between California Bond and Predex Funds
Can any of the company-specific risk be diversified away by investing in both California Bond and Predex Funds 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 California Bond and Predex Funds into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between California Bond Fund and Predex Funds, you can compare the effects of market volatilities on California Bond and Predex Funds 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 California Bond with a short position of Predex Funds. Check out your portfolio center. Please also check ongoing floating volatility patterns of California Bond and Predex Funds.
Diversification Opportunities for California Bond and Predex Funds
0.0 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between California and Predex is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding California Bond Fund and Predex Funds in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Predex Funds and California Bond 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 California Bond Fund are associated (or correlated) with Predex Funds. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Predex Funds has no effect on the direction of California Bond i.e., California Bond and Predex Funds go up and down completely randomly.
Pair Corralation between California Bond and Predex Funds
Assuming the 90 days horizon California Bond Fund is expected to generate 2.17 times more return on investment than Predex Funds. However, California Bond is 2.17 times more volatile than Predex Funds. It trades about 0.12 of its potential returns per unit of risk. Predex Funds is currently generating about -0.25 per unit of risk. If you would invest 946.00 in California Bond Fund on October 6, 2024 and sell it today you would earn a total of 89.00 from holding California Bond Fund or generate 9.41% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Flat |
Strength | Insignificant |
Accuracy | 99.03% |
Values | Daily Returns |
California Bond Fund vs. Predex Funds
Performance |
Timeline |
California Bond |
Predex Funds |
California Bond and Predex Funds Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with California Bond and Predex Funds
The main advantage of trading using opposite California Bond and Predex Funds positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if California Bond position performs unexpectedly, Predex Funds 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 Predex Funds will offset losses from the drop in Predex Funds' long position.California Bond vs. Income Fund Income | California Bond vs. Usaa Nasdaq 100 | California Bond vs. Victory Diversified Stock | California Bond vs. Intermediate Term Bond Fund |
Predex Funds vs. Evaluator Conservative Rms | Predex Funds vs. American Funds Conservative | Predex Funds vs. Massmutual Premier Diversified | Predex Funds vs. Massmutual Select Diversified |
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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