Correlation Between Public Packages and MyTech Group
Can any of the company-specific risk be diversified away by investing in both Public Packages and MyTech Group 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 Public Packages and MyTech Group into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Public Packages Holdings and MyTech Group Bhd, you can compare the effects of market volatilities on Public Packages and MyTech Group 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 Public Packages with a short position of MyTech Group. Check out your portfolio center. Please also check ongoing floating volatility patterns of Public Packages and MyTech Group.
Diversification Opportunities for Public Packages and MyTech Group
0.73 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Public and MyTech is 0.73. Overlapping area represents the amount of risk that can be diversified away by holding Public Packages Holdings and MyTech Group Bhd in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on MyTech Group Bhd and Public Packages 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 Public Packages Holdings are associated (or correlated) with MyTech Group. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of MyTech Group Bhd has no effect on the direction of Public Packages i.e., Public Packages and MyTech Group go up and down completely randomly.
Pair Corralation between Public Packages and MyTech Group
Assuming the 90 days trading horizon Public Packages Holdings is expected to generate 0.46 times more return on investment than MyTech Group. However, Public Packages Holdings is 2.15 times less risky than MyTech Group. It trades about -0.1 of its potential returns per unit of risk. MyTech Group Bhd is currently generating about -0.1 per unit of risk. If you would invest 81.00 in Public Packages Holdings on December 1, 2024 and sell it today you would lose (6.00) from holding Public Packages Holdings or give up 7.41% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Public Packages Holdings vs. MyTech Group Bhd
Performance |
Timeline |
Public Packages Holdings |
MyTech Group Bhd |
Public Packages and MyTech Group Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Public Packages and MyTech Group
The main advantage of trading using opposite Public Packages and MyTech Group positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Public Packages position performs unexpectedly, MyTech Group 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 MyTech Group will offset losses from the drop in MyTech Group's long position.Public Packages vs. Tex Cycle Technology | Public Packages vs. Petronas Chemicals Group | Public Packages vs. K One Technology Bhd | Public Packages vs. Greatech Technology 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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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