Correlation Between Retail Food and MoneyMe
Can any of the company-specific risk be diversified away by investing in both Retail Food and MoneyMe 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 Retail Food and MoneyMe into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Retail Food Group and MoneyMe, you can compare the effects of market volatilities on Retail Food and MoneyMe 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 Retail Food with a short position of MoneyMe. Check out your portfolio center. Please also check ongoing floating volatility patterns of Retail Food and MoneyMe.
Diversification Opportunities for Retail Food and MoneyMe
-0.72 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Retail and MoneyMe is -0.72. Overlapping area represents the amount of risk that can be diversified away by holding Retail Food Group and MoneyMe in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on MoneyMe and Retail Food 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 Retail Food Group are associated (or correlated) with MoneyMe. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of MoneyMe has no effect on the direction of Retail Food i.e., Retail Food and MoneyMe go up and down completely randomly.
Pair Corralation between Retail Food and MoneyMe
Assuming the 90 days trading horizon Retail Food Group is expected to under-perform the MoneyMe. But the stock apears to be less risky and, when comparing its historical volatility, Retail Food Group is 1.92 times less risky than MoneyMe. The stock trades about -0.02 of its potential returns per unit of risk. The MoneyMe is currently generating about 0.01 of returns per unit of risk over similar time horizon. If you would invest 38.00 in MoneyMe on October 24, 2024 and sell it today you would lose (16.00) from holding MoneyMe or give up 42.11% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 99.8% |
Values | Daily Returns |
Retail Food Group vs. MoneyMe
Performance |
Timeline |
Retail Food Group |
MoneyMe |
Retail Food and MoneyMe Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Retail Food and MoneyMe
The main advantage of trading using opposite Retail Food and MoneyMe positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Retail Food position performs unexpectedly, MoneyMe 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 MoneyMe will offset losses from the drop in MoneyMe's long position.Retail Food vs. Aneka Tambang Tbk | Retail Food vs. BHP Group Limited | Retail Food vs. Commonwealth Bank of | Retail Food vs. Commonwealth Bank of |
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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 Financial Widgets module to easily integrated Macroaxis content with over 30 different plug-and-play financial widgets.
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