Correlation Between Ford and PT Bumi
Can any of the company-specific risk be diversified away by investing in both Ford and PT Bumi 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 Ford and PT Bumi into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ford Motor and PT Bumi Resources, you can compare the effects of market volatilities on Ford and PT Bumi 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 Ford with a short position of PT Bumi. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ford and PT Bumi.
Diversification Opportunities for Ford and PT Bumi
Weak diversification
The 3 months correlation between Ford and PJM is 0.35. Overlapping area represents the amount of risk that can be diversified away by holding Ford Motor and PT Bumi Resources in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on PT Bumi Resources and Ford 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 Ford Motor are associated (or correlated) with PT Bumi. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of PT Bumi Resources has no effect on the direction of Ford i.e., Ford and PT Bumi go up and down completely randomly.
Pair Corralation between Ford and PT Bumi
Taking into account the 90-day investment horizon Ford is expected to generate 8.93 times less return on investment than PT Bumi. But when comparing it to its historical volatility, Ford Motor is 2.89 times less risky than PT Bumi. It trades about 0.01 of its potential returns per unit of risk. PT Bumi Resources is currently generating about 0.03 of returns per unit of risk over similar time horizon. If you would invest 0.95 in PT Bumi Resources on September 3, 2024 and sell it today you would lose (0.15) from holding PT Bumi Resources or give up 15.79% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 98.02% |
| Values | Daily Returns |
Ford Motor vs. PT Bumi Resources
Performance |
| Timeline |
| Ford Motor |
| PT Bumi Resources |
Ford and PT Bumi Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Ford and PT Bumi
The main advantage of trading using opposite Ford and PT Bumi positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ford position performs unexpectedly, PT Bumi 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 PT Bumi will offset losses from the drop in PT Bumi's long position.The idea behind Ford Motor and PT Bumi Resources pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.| PT Bumi vs. National Health Investors | PT Bumi vs. Bumrungrad Hospital Public | PT Bumi vs. SMA Solar Technology | PT Bumi vs. MACOM Technology Solutions |
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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