Correlation Between Feytech Holdings and Nova Wellness
Can any of the company-specific risk be diversified away by investing in both Feytech Holdings and Nova Wellness 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 Feytech Holdings and Nova Wellness into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Feytech Holdings Berhad and Nova Wellness Group, you can compare the effects of market volatilities on Feytech Holdings and Nova Wellness 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 Feytech Holdings with a short position of Nova Wellness. Check out your portfolio center. Please also check ongoing floating volatility patterns of Feytech Holdings and Nova Wellness.
Diversification Opportunities for Feytech Holdings and Nova Wellness
-0.43 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Feytech and Nova is -0.43. Overlapping area represents the amount of risk that can be diversified away by holding Feytech Holdings Berhad and Nova Wellness Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Nova Wellness Group and Feytech Holdings 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 Feytech Holdings Berhad are associated (or correlated) with Nova Wellness. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Nova Wellness Group has no effect on the direction of Feytech Holdings i.e., Feytech Holdings and Nova Wellness go up and down completely randomly.
Pair Corralation between Feytech Holdings and Nova Wellness
Assuming the 90 days trading horizon Feytech Holdings Berhad is expected to generate 1.93 times more return on investment than Nova Wellness. However, Feytech Holdings is 1.93 times more volatile than Nova Wellness Group. It trades about 0.17 of its potential returns per unit of risk. Nova Wellness Group is currently generating about -0.02 per unit of risk. If you would invest 65.00 in Feytech Holdings Berhad on October 6, 2024 and sell it today you would earn a total of 17.00 from holding Feytech Holdings Berhad or generate 26.15% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Feytech Holdings Berhad vs. Nova Wellness Group
Performance |
Timeline |
Feytech Holdings Berhad |
Nova Wellness Group |
Feytech Holdings and Nova Wellness Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Feytech Holdings and Nova Wellness
The main advantage of trading using opposite Feytech Holdings and Nova Wellness positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Feytech Holdings position performs unexpectedly, Nova Wellness 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 Nova Wellness will offset losses from the drop in Nova Wellness' long position.Feytech Holdings vs. Malayan Banking Bhd | Feytech Holdings vs. Public Bank Bhd | Feytech Holdings vs. Petronas Chemicals Group | Feytech Holdings vs. Tenaga Nasional Bhd |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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