Correlation Between Cavanal Hill and Bond Fund
Can any of the company-specific risk be diversified away by investing in both Cavanal Hill and Bond Fund 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 Cavanal Hill and Bond Fund into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Cavanal Hill Hedged and Bond Fund Class, you can compare the effects of market volatilities on Cavanal Hill and Bond Fund 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 Cavanal Hill with a short position of Bond Fund. Check out your portfolio center. Please also check ongoing floating volatility patterns of Cavanal Hill and Bond Fund.
Diversification Opportunities for Cavanal Hill and Bond Fund
0.15 | Correlation Coefficient |
Average diversification
The 3 months correlation between Cavanal and Bond is 0.15. Overlapping area represents the amount of risk that can be diversified away by holding Cavanal Hill Hedged and Bond Fund Class in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bond Fund Class and Cavanal Hill 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 Cavanal Hill Hedged are associated (or correlated) with Bond Fund. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bond Fund Class has no effect on the direction of Cavanal Hill i.e., Cavanal Hill and Bond Fund go up and down completely randomly.
Pair Corralation between Cavanal Hill and Bond Fund
Assuming the 90 days horizon Cavanal Hill Hedged is expected to under-perform the Bond Fund. In addition to that, Cavanal Hill is 1.38 times more volatile than Bond Fund Class. It trades about -0.2 of its total potential returns per unit of risk. Bond Fund Class is currently generating about 0.3 per unit of volatility. If you would invest 838.00 in Bond Fund Class on December 5, 2024 and sell it today you would earn a total of 19.00 from holding Bond Fund Class or generate 2.27% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Cavanal Hill Hedged vs. Bond Fund Class
Performance |
Timeline |
Cavanal Hill Hedged |
Bond Fund Class |
Cavanal Hill and Bond Fund Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Cavanal Hill and Bond Fund
The main advantage of trading using opposite Cavanal Hill and Bond Fund positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Cavanal Hill position performs unexpectedly, Bond Fund 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 Bond Fund will offset losses from the drop in Bond Fund's long position.Cavanal Hill vs. Calvert Short Duration | Cavanal Hill vs. Catholic Responsible Investments | Cavanal Hill vs. Seix Govt Sec | Cavanal Hill vs. Siit Ultra Short |
Bond Fund vs. Wells Fargo Advantage | Bond Fund vs. Invesco Gold Special | Bond Fund vs. Oppenheimer Gold Special | Bond Fund vs. Investment Managers Series |
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 Sync Your Broker module to sync your existing holdings, watchlists, positions or portfolios from thousands of online brokerage services, banks, investment account aggregators and robo-advisors..
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