Correlation Between Capital Income and Golden House
Can any of the company-specific risk be diversified away by investing in both Capital Income and Golden House 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 Capital Income and Golden House into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Capital Income Builder and Golden House, you can compare the effects of market volatilities on Capital Income and Golden House 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 Capital Income with a short position of Golden House. Check out your portfolio center. Please also check ongoing floating volatility patterns of Capital Income and Golden House.
Diversification Opportunities for Capital Income and Golden House
-0.76 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Capital and Golden is -0.76. Overlapping area represents the amount of risk that can be diversified away by holding Capital Income Builder and Golden House in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Golden House and Capital Income 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 Capital Income Builder are associated (or correlated) with Golden House. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Golden House has no effect on the direction of Capital Income i.e., Capital Income and Golden House go up and down completely randomly.
Pair Corralation between Capital Income and Golden House
Assuming the 90 days horizon Capital Income Builder is expected to generate 0.32 times more return on investment than Golden House. However, Capital Income Builder is 3.12 times less risky than Golden House. It trades about 0.26 of its potential returns per unit of risk. Golden House is currently generating about 0.02 per unit of risk. If you would invest 6,893 in Capital Income Builder on November 3, 2024 and sell it today you would earn a total of 206.00 from holding Capital Income Builder or generate 2.99% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Weak |
| Accuracy | 85.71% |
| Values | Daily Returns |
Capital Income Builder vs. Golden House
Performance |
| Timeline |
| Capital Income Builder |
| Golden House |
Capital Income and Golden House Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Capital Income and Golden House
The main advantage of trading using opposite Capital Income and Golden House positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Capital Income position performs unexpectedly, Golden House 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 Golden House will offset losses from the drop in Golden House's long position.| Capital Income vs. Dws Global Macro | Capital Income vs. Rbb Fund | Capital Income vs. Kinetics Global Fund | Capital Income vs. Ms Global Fixed |
| Golden House vs. Hanan Mor | Golden House vs. IBI Inv House | Golden House vs. E M Computing | Golden House vs. Alony Hetz Properties |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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