Correlation Between OSK Holdings and Bina Darulaman
Can any of the company-specific risk be diversified away by investing in both OSK Holdings and Bina Darulaman 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 OSK Holdings and Bina Darulaman into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between OSK Holdings Bhd and Bina Darulaman Bhd, you can compare the effects of market volatilities on OSK Holdings and Bina Darulaman 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 OSK Holdings with a short position of Bina Darulaman. Check out your portfolio center. Please also check ongoing floating volatility patterns of OSK Holdings and Bina Darulaman.
Diversification Opportunities for OSK Holdings and Bina Darulaman
-0.72 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between OSK and Bina is -0.72. Overlapping area represents the amount of risk that can be diversified away by holding OSK Holdings Bhd and Bina Darulaman Bhd in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bina Darulaman Bhd and OSK Holdings 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 OSK Holdings Bhd are associated (or correlated) with Bina Darulaman. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bina Darulaman Bhd has no effect on the direction of OSK Holdings i.e., OSK Holdings and Bina Darulaman go up and down completely randomly.
Pair Corralation between OSK Holdings and Bina Darulaman
Assuming the 90 days trading horizon OSK Holdings Bhd is expected to generate 0.5 times more return on investment than Bina Darulaman. However, OSK Holdings Bhd is 2.0 times less risky than Bina Darulaman. It trades about 0.11 of its potential returns per unit of risk. Bina Darulaman Bhd is currently generating about 0.01 per unit of risk. If you would invest 93.00 in OSK Holdings Bhd on September 4, 2024 and sell it today you would earn a total of 69.00 from holding OSK Holdings Bhd or generate 74.19% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Weak |
| Accuracy | 98.63% |
| Values | Daily Returns |
OSK Holdings Bhd vs. Bina Darulaman Bhd
Performance |
| Timeline |
| OSK Holdings Bhd |
| Bina Darulaman Bhd |
OSK Holdings and Bina Darulaman Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with OSK Holdings and Bina Darulaman
The main advantage of trading using opposite OSK Holdings and Bina Darulaman positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if OSK Holdings position performs unexpectedly, Bina Darulaman 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 Bina Darulaman will offset losses from the drop in Bina Darulaman's long position.| OSK Holdings vs. Minetech Resources Bhd | OSK Holdings vs. Swift Haulage Bhd | OSK Holdings vs. Insas Bhd | OSK Holdings vs. Bina Darulaman Bhd |
| Bina Darulaman vs. Malayan Banking Bhd | Bina Darulaman vs. Public Bank Bhd | Bina Darulaman vs. Petronas Chemicals Group | Bina Darulaman 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 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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