Correlation Between MQ Technology and Steel Hawk
Can any of the company-specific risk be diversified away by investing in both MQ Technology and Steel Hawk 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 MQ Technology and Steel Hawk into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between MQ Technology Bhd and Steel Hawk Berhad, you can compare the effects of market volatilities on MQ Technology and Steel Hawk 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 MQ Technology with a short position of Steel Hawk. Check out your portfolio center. Please also check ongoing floating volatility patterns of MQ Technology and Steel Hawk.
Diversification Opportunities for MQ Technology and Steel Hawk
0.67 | Correlation Coefficient |
Poor diversification
The 3 months correlation between 0070 and Steel is 0.67. Overlapping area represents the amount of risk that can be diversified away by holding MQ Technology Bhd and Steel Hawk Berhad in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Steel Hawk Berhad and MQ Technology 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 MQ Technology Bhd are associated (or correlated) with Steel Hawk. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Steel Hawk Berhad has no effect on the direction of MQ Technology i.e., MQ Technology and Steel Hawk go up and down completely randomly.
Pair Corralation between MQ Technology and Steel Hawk
Assuming the 90 days trading horizon MQ Technology Bhd is expected to under-perform the Steel Hawk. In addition to that, MQ Technology is 3.0 times more volatile than Steel Hawk Berhad. It trades about -0.05 of its total potential returns per unit of risk. Steel Hawk Berhad is currently generating about 0.03 per unit of volatility. If you would invest 45.00 in Steel Hawk Berhad on December 24, 2024 and sell it today you would earn a total of 1.00 from holding Steel Hawk Berhad or generate 2.22% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
MQ Technology Bhd vs. Steel Hawk Berhad
Performance |
Timeline |
MQ Technology Bhd |
Steel Hawk Berhad |
MQ Technology and Steel Hawk Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with MQ Technology and Steel Hawk
The main advantage of trading using opposite MQ Technology and Steel Hawk positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if MQ Technology position performs unexpectedly, Steel Hawk 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 Steel Hawk will offset losses from the drop in Steel Hawk's long position.MQ Technology vs. CSC Steel Holdings | MQ Technology vs. Petronas Chemicals Group | MQ Technology vs. Choo Bee Metal | MQ Technology vs. Eonmetall Group Bhd |
Steel Hawk vs. Tex Cycle Technology | Steel Hawk vs. Cloudpoint Technology Berhad | Steel Hawk vs. Farm Price Holdings | Steel Hawk vs. Eversafe Rubber 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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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