Correlation Between Ford and Poh Huat
Can any of the company-specific risk be diversified away by investing in both Ford and Poh Huat 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 Poh Huat into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ford Motor and Poh Huat Resources, you can compare the effects of market volatilities on Ford and Poh Huat 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 Poh Huat. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ford and Poh Huat.
Diversification Opportunities for Ford and Poh Huat
Very weak diversification
The 3 months correlation between Ford and Poh is 0.44. Overlapping area represents the amount of risk that can be diversified away by holding Ford Motor and Poh Huat Resources in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Poh Huat 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 Poh Huat. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Poh Huat Resources has no effect on the direction of Ford i.e., Ford and Poh Huat go up and down completely randomly.
Pair Corralation between Ford and Poh Huat
Taking into account the 90-day investment horizon Ford Motor is expected to under-perform the Poh Huat. In addition to that, Ford is 1.94 times more volatile than Poh Huat Resources. It trades about -0.04 of its total potential returns per unit of risk. Poh Huat Resources is currently generating about -0.01 per unit of volatility. If you would invest 131.00 in Poh Huat Resources on September 27, 2024 and sell it today you would lose (1.00) from holding Poh Huat Resources or give up 0.76% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Ford Motor vs. Poh Huat Resources
Performance |
Timeline |
Ford Motor |
Poh Huat Resources |
Ford and Poh Huat Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ford and Poh Huat
The main advantage of trading using opposite Ford and Poh Huat positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ford position performs unexpectedly, Poh Huat 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 Poh Huat will offset losses from the drop in Poh Huat's long position.The idea behind Ford Motor and Poh Huat 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.Poh Huat vs. Malayan Banking Bhd | Poh Huat vs. Public Bank Bhd | Poh Huat vs. Petronas Chemicals Group | Poh Huat vs. Tenaga Nasional Bhd |
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 Sectors module to list of equity sectors categorizing publicly traded companies based on their primary business activities.
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