Correlation Between Multi Retail and Internet Gold
Can any of the company-specific risk be diversified away by investing in both Multi Retail and Internet Gold 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 Multi Retail and Internet Gold into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Multi Retail Group and Internet Gold Golden, you can compare the effects of market volatilities on Multi Retail and Internet Gold 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 Multi Retail with a short position of Internet Gold. Check out your portfolio center. Please also check ongoing floating volatility patterns of Multi Retail and Internet Gold.
Diversification Opportunities for Multi Retail and Internet Gold
-0.66 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Multi and Internet is -0.66. Overlapping area represents the amount of risk that can be diversified away by holding Multi Retail Group and Internet Gold Golden in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Internet Gold Golden and Multi Retail 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 Multi Retail Group are associated (or correlated) with Internet Gold. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Internet Gold Golden has no effect on the direction of Multi Retail i.e., Multi Retail and Internet Gold go up and down completely randomly.
Pair Corralation between Multi Retail and Internet Gold
Assuming the 90 days trading horizon Multi Retail Group is expected to generate 0.55 times more return on investment than Internet Gold. However, Multi Retail Group is 1.83 times less risky than Internet Gold. It trades about 0.0 of its potential returns per unit of risk. Internet Gold Golden is currently generating about 0.0 per unit of risk. If you would invest 139,600 in Multi Retail Group on September 13, 2024 and sell it today you would lose (22,300) from holding Multi Retail Group or give up 15.97% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Multi Retail Group vs. Internet Gold Golden
Performance |
| Timeline |
| Multi Retail Group |
| Internet Gold Golden |
Multi Retail and Internet Gold Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Multi Retail and Internet Gold
The main advantage of trading using opposite Multi Retail and Internet Gold positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Multi Retail position performs unexpectedly, Internet Gold 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 Internet Gold will offset losses from the drop in Internet Gold's long position.| Multi Retail vs. B Communications | Multi Retail vs. Photomyne | Multi Retail vs. M Yochananof and | Multi Retail vs. Clal Biotechnology Industries |
| Internet Gold vs. Bezeq Israeli Telecommunication | Internet Gold vs. Partner | Internet Gold vs. Cellcom Israel | Internet Gold 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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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