Correlation Between Senheng New and Duopharma Biotech
Can any of the company-specific risk be diversified away by investing in both Senheng New and Duopharma Biotech 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 Senheng New and Duopharma Biotech into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Senheng New Retail and Duopharma Biotech Bhd, you can compare the effects of market volatilities on Senheng New and Duopharma Biotech 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 Senheng New with a short position of Duopharma Biotech. Check out your portfolio center. Please also check ongoing floating volatility patterns of Senheng New and Duopharma Biotech.
Diversification Opportunities for Senheng New and Duopharma Biotech
-0.17 | Correlation Coefficient |
Good diversification
The 3 months correlation between Senheng and Duopharma is -0.17. Overlapping area represents the amount of risk that can be diversified away by holding Senheng New Retail and Duopharma Biotech Bhd in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Duopharma Biotech Bhd and Senheng New 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 Senheng New Retail are associated (or correlated) with Duopharma Biotech. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Duopharma Biotech Bhd has no effect on the direction of Senheng New i.e., Senheng New and Duopharma Biotech go up and down completely randomly.
Pair Corralation between Senheng New and Duopharma Biotech
Assuming the 90 days trading horizon Senheng New is expected to generate 3.42 times less return on investment than Duopharma Biotech. In addition to that, Senheng New is 1.3 times more volatile than Duopharma Biotech Bhd. It trades about 0.01 of its total potential returns per unit of risk. Duopharma Biotech Bhd is currently generating about 0.05 per unit of volatility. If you would invest 120.00 in Duopharma Biotech Bhd on September 14, 2024 and sell it today you would earn a total of 5.00 from holding Duopharma Biotech Bhd or generate 4.17% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Senheng New Retail vs. Duopharma Biotech Bhd
Performance |
Timeline |
Senheng New Retail |
Duopharma Biotech Bhd |
Senheng New and Duopharma Biotech Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Senheng New and Duopharma Biotech
The main advantage of trading using opposite Senheng New and Duopharma Biotech positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Senheng New position performs unexpectedly, Duopharma Biotech 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 Duopharma Biotech will offset losses from the drop in Duopharma Biotech's long position.Senheng New vs. Malayan Banking Bhd | Senheng New vs. Lotte Chemical Titan | Senheng New vs. SSF Home Group | Senheng New vs. Sports Toto Berhad |
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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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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