Correlation Between Alar Pharmaceuticals and Kung Sing
Can any of the company-specific risk be diversified away by investing in both Alar Pharmaceuticals and Kung Sing 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 Alar Pharmaceuticals and Kung Sing into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Alar Pharmaceuticals and Kung Sing Engineering, you can compare the effects of market volatilities on Alar Pharmaceuticals and Kung Sing 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 Alar Pharmaceuticals with a short position of Kung Sing. Check out your portfolio center. Please also check ongoing floating volatility patterns of Alar Pharmaceuticals and Kung Sing.
Diversification Opportunities for Alar Pharmaceuticals and Kung Sing
0.69 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Alar and Kung is 0.69. Overlapping area represents the amount of risk that can be diversified away by holding Alar Pharmaceuticals and Kung Sing Engineering in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Kung Sing Engineering and Alar Pharmaceuticals 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 Alar Pharmaceuticals are associated (or correlated) with Kung Sing. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Kung Sing Engineering has no effect on the direction of Alar Pharmaceuticals i.e., Alar Pharmaceuticals and Kung Sing go up and down completely randomly.
Pair Corralation between Alar Pharmaceuticals and Kung Sing
Assuming the 90 days trading horizon Alar Pharmaceuticals is expected to generate 1.36 times less return on investment than Kung Sing. In addition to that, Alar Pharmaceuticals is 1.82 times more volatile than Kung Sing Engineering. It trades about 0.02 of its total potential returns per unit of risk. Kung Sing Engineering is currently generating about 0.05 per unit of volatility. If you would invest 669.00 in Kung Sing Engineering on September 16, 2024 and sell it today you would earn a total of 396.00 from holding Kung Sing Engineering or generate 59.19% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 99.78% |
Values | Daily Returns |
Alar Pharmaceuticals vs. Kung Sing Engineering
Performance |
Timeline |
Alar Pharmaceuticals |
Kung Sing Engineering |
Alar Pharmaceuticals and Kung Sing Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Alar Pharmaceuticals and Kung Sing
The main advantage of trading using opposite Alar Pharmaceuticals and Kung Sing positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Alar Pharmaceuticals position performs unexpectedly, Kung Sing 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 Kung Sing will offset losses from the drop in Kung Sing's long position.Alar Pharmaceuticals vs. General Plastic Industrial | Alar Pharmaceuticals vs. Nankang Rubber Tire | Alar Pharmaceuticals vs. CKM Building Material | Alar Pharmaceuticals vs. Elite Material Co |
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 Odds Of Bankruptcy module to get analysis of equity chance of financial distress in the next 2 years.
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