Correlation Between Berjaya Food and Notion Vtec
Can any of the company-specific risk be diversified away by investing in both Berjaya Food and Notion Vtec 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 Notion Vtec 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 Notion Vtec Bhd, you can compare the effects of market volatilities on Berjaya Food and Notion Vtec 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 Notion Vtec. Check out your portfolio center. Please also check ongoing floating volatility patterns of Berjaya Food and Notion Vtec.
Diversification Opportunities for Berjaya Food and Notion Vtec
-0.61 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Berjaya and Notion is -0.61. Overlapping area represents the amount of risk that can be diversified away by holding Berjaya Food Bhd and Notion Vtec Bhd in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Notion Vtec 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 Notion Vtec. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Notion Vtec Bhd has no effect on the direction of Berjaya Food i.e., Berjaya Food and Notion Vtec go up and down completely randomly.
Pair Corralation between Berjaya Food and Notion Vtec
Assuming the 90 days trading horizon Berjaya Food Bhd is expected to under-perform the Notion Vtec. But the stock apears to be less risky and, when comparing its historical volatility, Berjaya Food Bhd is 1.14 times less risky than Notion Vtec. The stock trades about -0.03 of its potential returns per unit of risk. The Notion Vtec Bhd is currently generating about 0.17 of returns per unit of risk over similar time horizon. If you would invest 92.00 in Notion Vtec Bhd on September 28, 2024 and sell it today you would earn a total of 46.00 from holding Notion Vtec Bhd or generate 50.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 98.41% |
Values | Daily Returns |
Berjaya Food Bhd vs. Notion Vtec Bhd
Performance |
Timeline |
Berjaya Food Bhd |
Notion Vtec Bhd |
Berjaya Food and Notion Vtec Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Berjaya Food and Notion Vtec
The main advantage of trading using opposite Berjaya Food and Notion Vtec positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Berjaya Food position performs unexpectedly, Notion Vtec 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 Notion Vtec will offset losses from the drop in Notion Vtec's long position.Berjaya Food vs. Genting Malaysia Bhd | Berjaya Food vs. Shangri La Hotels | Berjaya Food vs. ECM Libra Financial | Berjaya Food vs. Lyc Healthcare Bhd |
Notion Vtec vs. Malayan Banking Bhd | Notion Vtec vs. Public Bank Bhd | Notion Vtec vs. Petronas Chemicals Group | Notion Vtec 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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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