Correlation Between TAS Offshore and Berjaya Food
Can any of the company-specific risk be diversified away by investing in both TAS Offshore 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 TAS Offshore and Berjaya Food into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between TAS Offshore Bhd and Berjaya Food Bhd, you can compare the effects of market volatilities on TAS Offshore 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 TAS Offshore with a short position of Berjaya Food. Check out your portfolio center. Please also check ongoing floating volatility patterns of TAS Offshore and Berjaya Food.
Diversification Opportunities for TAS Offshore and Berjaya Food
0.69 | Correlation Coefficient |
Poor diversification
The 3 months correlation between TAS and Berjaya is 0.69. Overlapping area represents the amount of risk that can be diversified away by holding TAS Offshore 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 TAS Offshore 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 TAS Offshore 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 TAS Offshore i.e., TAS Offshore and Berjaya Food go up and down completely randomly.
Pair Corralation between TAS Offshore and Berjaya Food
Assuming the 90 days trading horizon TAS Offshore Bhd is expected to generate 0.65 times more return on investment than Berjaya Food. However, TAS Offshore Bhd is 1.53 times less risky than Berjaya Food. It trades about -0.06 of its potential returns per unit of risk. Berjaya Food Bhd is currently generating about -0.05 per unit of risk. If you would invest 66.00 in TAS Offshore Bhd on December 23, 2024 and sell it today you would lose (6.00) from holding TAS Offshore Bhd or give up 9.09% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
TAS Offshore Bhd vs. Berjaya Food Bhd
Performance |
Timeline |
TAS Offshore Bhd |
Berjaya Food Bhd |
TAS Offshore and Berjaya Food Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with TAS Offshore and Berjaya Food
The main advantage of trading using opposite TAS Offshore and Berjaya Food positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if TAS Offshore 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.TAS Offshore vs. MClean Technologies Bhd | TAS Offshore vs. Icon Offshore Bhd | TAS Offshore vs. Techbond Group Bhd | TAS Offshore vs. Hong Leong Bank |
Berjaya Food vs. JF Technology BHD | Berjaya Food vs. Dataprep Holdings Bhd | Berjaya Food vs. British American Tobacco | Berjaya Food vs. Binasat Communications 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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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