Correlation Between PMB Technology and Berjaya Food
Can any of the company-specific risk be diversified away by investing in both PMB Technology and Berjaya Food 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 PMB Technology and Berjaya Food into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between PMB Technology Bhd and Berjaya Food Bhd, you can compare the effects of market volatilities on PMB Technology and Berjaya Food 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 PMB Technology with a short position of Berjaya Food. Check out your portfolio center. Please also check ongoing floating volatility patterns of PMB Technology and Berjaya Food.
Diversification Opportunities for PMB Technology and Berjaya Food
-0.12 | Correlation Coefficient |
Good diversification
The 3 months correlation between PMB and Berjaya is -0.12. Overlapping area represents the amount of risk that can be diversified away by holding PMB Technology Bhd and Berjaya Food Bhd in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Berjaya Food Bhd and PMB Technology 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 PMB Technology Bhd are associated (or correlated) with Berjaya Food. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Berjaya Food Bhd has no effect on the direction of PMB Technology i.e., PMB Technology and Berjaya Food go up and down completely randomly.
Pair Corralation between PMB Technology and Berjaya Food
Assuming the 90 days trading horizon PMB Technology Bhd is expected to generate 0.75 times more return on investment than Berjaya Food. However, PMB Technology Bhd is 1.33 times less risky than Berjaya Food. It trades about 0.04 of its potential returns per unit of risk. Berjaya Food Bhd is currently generating about -0.29 per unit of risk. If you would invest 178.00 in PMB Technology Bhd on September 12, 2024 and sell it today you would earn a total of 4.00 from holding PMB Technology Bhd or generate 2.25% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
PMB Technology Bhd vs. Berjaya Food Bhd
Performance |
Timeline |
PMB Technology Bhd |
Berjaya Food Bhd |
PMB Technology and Berjaya Food Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with PMB Technology and Berjaya Food
The main advantage of trading using opposite PMB Technology and Berjaya Food positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if PMB Technology position performs unexpectedly, Berjaya Food 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 Berjaya Food will offset losses from the drop in Berjaya Food's long position.PMB Technology vs. Press Metal Bhd | PMB Technology vs. Pantech Group Holdings | PMB Technology vs. CSC Steel Holdings | PMB Technology vs. Coraza Integrated Technology |
Berjaya Food vs. Shangri La Hotels | Berjaya Food vs. ECM Libra Financial | Berjaya Food vs. Al Aqar Healthcare | Berjaya Food vs. PMB Technology 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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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