Correlation Between Notion Vtec and Berjaya Food
Can any of the company-specific risk be diversified away by investing in both Notion Vtec 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 Notion Vtec and Berjaya Food into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Notion Vtec Bhd and Berjaya Food Bhd, you can compare the effects of market volatilities on Notion Vtec 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 Notion Vtec with a short position of Berjaya Food. Check out your portfolio center. Please also check ongoing floating volatility patterns of Notion Vtec and Berjaya Food.
Diversification Opportunities for Notion Vtec and Berjaya Food
-0.61 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Notion and Berjaya is -0.61. Overlapping area represents the amount of risk that can be diversified away by holding Notion Vtec 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 Notion Vtec 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 Notion Vtec 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 Notion Vtec i.e., Notion Vtec and Berjaya Food go up and down completely randomly.
Pair Corralation between Notion Vtec and Berjaya Food
Assuming the 90 days trading horizon Notion Vtec Bhd is expected to generate 1.27 times more return on investment than Berjaya Food. However, Notion Vtec is 1.27 times more volatile than Berjaya Food Bhd. It trades about 0.18 of its potential returns per unit of risk. Berjaya Food Bhd is currently generating about -0.16 per unit of risk. If you would invest 120.00 in Notion Vtec Bhd on September 28, 2024 and sell it today you would earn a total of 18.00 from holding Notion Vtec Bhd or generate 15.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 95.45% |
Values | Daily Returns |
Notion Vtec Bhd vs. Berjaya Food Bhd
Performance |
Timeline |
Notion Vtec Bhd |
Berjaya Food Bhd |
Notion Vtec and Berjaya Food Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Notion Vtec and Berjaya Food
The main advantage of trading using opposite Notion Vtec and Berjaya Food positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Notion Vtec 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.Notion Vtec vs. Malayan Banking Bhd | Notion Vtec vs. Public Bank Bhd | Notion Vtec vs. Petronas Chemicals Group | Notion Vtec vs. Tenaga Nasional Bhd |
Berjaya Food vs. Genting Malaysia Bhd | Berjaya Food vs. Shangri La Hotels | Berjaya Food vs. ECM Libra Financial | Berjaya Food vs. Lyc Healthcare 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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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