Correlation Between Power Assets and MTY Food
Can any of the company-specific risk be diversified away by investing in both Power Assets and MTY Food 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 Power Assets and MTY Food into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Power Assets Holdings and MTY Food Group, you can compare the effects of market volatilities on Power Assets and MTY Food 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 Power Assets with a short position of MTY Food. Check out your portfolio center. Please also check ongoing floating volatility patterns of Power Assets and MTY Food.
Diversification Opportunities for Power Assets and MTY Food
0.42 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Power and MTY is 0.42. Overlapping area represents the amount of risk that can be diversified away by holding Power Assets Holdings and MTY Food Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on MTY Food Group and Power Assets 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 Power Assets Holdings are associated (or correlated) with MTY Food. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of MTY Food Group has no effect on the direction of Power Assets i.e., Power Assets and MTY Food go up and down completely randomly.
Pair Corralation between Power Assets and MTY Food
Assuming the 90 days horizon Power Assets Holdings is expected to generate 2.02 times more return on investment than MTY Food. However, Power Assets is 2.02 times more volatile than MTY Food Group. It trades about 0.1 of its potential returns per unit of risk. MTY Food Group is currently generating about -0.02 per unit of risk. If you would invest 146.00 in Power Assets Holdings on October 4, 2024 and sell it today you would earn a total of 519.00 from holding Power Assets Holdings or generate 355.48% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Power Assets Holdings vs. MTY Food Group
Performance |
Timeline |
Power Assets Holdings |
MTY Food Group |
Power Assets and MTY Food Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Power Assets and MTY Food
The main advantage of trading using opposite Power Assets and MTY Food positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Power Assets position performs unexpectedly, MTY Food 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 MTY Food will offset losses from the drop in MTY Food's long position.Power Assets vs. TITANIUM TRANSPORTGROUP | Power Assets vs. Fukuyama Transporting Co | Power Assets vs. CSSC Offshore Marine | Power Assets vs. EIDESVIK OFFSHORE NK |
MTY Food vs. SEKISUI CHEMICAL | MTY Food vs. NISSAN CHEMICAL IND | MTY Food vs. NXP Semiconductors NV | MTY Food vs. MagnaChip Semiconductor Corp |
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 Positions Ratings module to determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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