Correlation Between Opal Balance and Multi Retail
Can any of the company-specific risk be diversified away by investing in both Opal Balance and Multi Retail 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 Opal Balance and Multi Retail into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Opal Balance and Multi Retail Group, you can compare the effects of market volatilities on Opal Balance and Multi Retail 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 Opal Balance with a short position of Multi Retail. Check out your portfolio center. Please also check ongoing floating volatility patterns of Opal Balance and Multi Retail.
Diversification Opportunities for Opal Balance and Multi Retail
0.92 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Opal and Multi is 0.92. Overlapping area represents the amount of risk that can be diversified away by holding Opal Balance and Multi Retail Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Multi Retail Group and Opal Balance 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 Opal Balance are associated (or correlated) with Multi Retail. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Multi Retail Group has no effect on the direction of Opal Balance i.e., Opal Balance and Multi Retail go up and down completely randomly.
Pair Corralation between Opal Balance and Multi Retail
Assuming the 90 days trading horizon Opal Balance is expected to generate 0.59 times more return on investment than Multi Retail. However, Opal Balance is 1.69 times less risky than Multi Retail. It trades about 0.23 of its potential returns per unit of risk. Multi Retail Group is currently generating about 0.02 per unit of risk. If you would invest 18,089 in Opal Balance on September 1, 2024 and sell it today you would earn a total of 1,201 from holding Opal Balance or generate 6.64% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Opal Balance vs. Multi Retail Group
Performance |
Timeline |
Opal Balance |
Multi Retail Group |
Opal Balance and Multi Retail Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Opal Balance and Multi Retail
The main advantage of trading using opposite Opal Balance and Multi Retail positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Opal Balance position performs unexpectedly, Multi Retail 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 Multi Retail will offset losses from the drop in Multi Retail's long position.Opal Balance vs. Nawi Brothers Group | Opal Balance vs. EN Shoham Business | Opal Balance vs. Peninsula Group | Opal Balance vs. Shikun Binui |
Multi Retail vs. Suny Cellular Communication | Multi Retail vs. Teuza A Fairchild | Multi Retail vs. Israel China Biotechnology | Multi Retail vs. B Communications |
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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