Correlation Between Berjaya Food and PIE Industrial
Can any of the company-specific risk be diversified away by investing in both Berjaya Food and PIE Industrial 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 Berjaya Food and PIE Industrial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Berjaya Food Bhd and PIE Industrial Bhd, you can compare the effects of market volatilities on Berjaya Food and PIE Industrial 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 Berjaya Food with a short position of PIE Industrial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Berjaya Food and PIE Industrial.
Diversification Opportunities for Berjaya Food and PIE Industrial
-0.49 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Berjaya and PIE is -0.49. Overlapping area represents the amount of risk that can be diversified away by holding Berjaya Food Bhd and PIE Industrial Bhd in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on PIE Industrial Bhd and Berjaya Food 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 Berjaya Food Bhd are associated (or correlated) with PIE Industrial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of PIE Industrial Bhd has no effect on the direction of Berjaya Food i.e., Berjaya Food and PIE Industrial go up and down completely randomly.
Pair Corralation between Berjaya Food and PIE Industrial
Assuming the 90 days trading horizon Berjaya Food Bhd is expected to generate 1.88 times more return on investment than PIE Industrial. However, Berjaya Food is 1.88 times more volatile than PIE Industrial Bhd. It trades about 0.13 of its potential returns per unit of risk. PIE Industrial Bhd is currently generating about -0.51 per unit of risk. If you would invest 35.00 in Berjaya Food Bhd on November 4, 2024 and sell it today you would earn a total of 4.00 from holding Berjaya Food Bhd or generate 11.43% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Berjaya Food Bhd vs. PIE Industrial Bhd
Performance |
| Timeline |
| Berjaya Food Bhd |
| PIE Industrial Bhd |
Berjaya Food and PIE Industrial Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Berjaya Food and PIE Industrial
The main advantage of trading using opposite Berjaya Food and PIE Industrial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Berjaya Food position performs unexpectedly, PIE Industrial 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 PIE Industrial will offset losses from the drop in PIE Industrial's long position.| Berjaya Food vs. Kawan Food Bhd | Berjaya Food vs. ES Ceramics Technology | Berjaya Food vs. EA Technique M | Berjaya Food vs. Globetronics Tech Bhd |
| PIE Industrial vs. Kobay Tech Bhd | PIE Industrial vs. Systech Bhd | PIE Industrial vs. Radiant Globaltech Bhd | PIE Industrial vs. Pantech Group Holdings |
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 Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.
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