Correlation Between Retail Food and AiMedia Technologies
Can any of the company-specific risk be diversified away by investing in both Retail Food and AiMedia Technologies 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 AiMedia Technologies 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 AiMedia Technologies, you can compare the effects of market volatilities on Retail Food and AiMedia Technologies 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 AiMedia Technologies. Check out your portfolio center. Please also check ongoing floating volatility patterns of Retail Food and AiMedia Technologies.
Diversification Opportunities for Retail Food and AiMedia Technologies
0.06 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Retail and AiMedia is 0.06. Overlapping area represents the amount of risk that can be diversified away by holding Retail Food Group and AiMedia Technologies in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on AiMedia Technologies 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 AiMedia Technologies. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of AiMedia Technologies has no effect on the direction of Retail Food i.e., Retail Food and AiMedia Technologies go up and down completely randomly.
Pair Corralation between Retail Food and AiMedia Technologies
Assuming the 90 days trading horizon Retail Food Group is expected to under-perform the AiMedia Technologies. But the stock apears to be less risky and, when comparing its historical volatility, Retail Food Group is 1.37 times less risky than AiMedia Technologies. The stock trades about -0.2 of its potential returns per unit of risk. The AiMedia Technologies is currently generating about 0.27 of returns per unit of risk over similar time horizon. If you would invest 74.00 in AiMedia Technologies on September 25, 2024 and sell it today you would earn a total of 17.00 from holding AiMedia Technologies or generate 22.97% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 95.45% |
Values | Daily Returns |
Retail Food Group vs. AiMedia Technologies
Performance |
Timeline |
Retail Food Group |
AiMedia Technologies |
Retail Food and AiMedia Technologies Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Retail Food and AiMedia Technologies
The main advantage of trading using opposite Retail Food and AiMedia Technologies positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Retail Food position performs unexpectedly, AiMedia Technologies 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 AiMedia Technologies will offset losses from the drop in AiMedia Technologies' long position.Retail Food vs. Renascor Resources | Retail Food vs. Venus Metals | Retail Food vs. Havilah Resources | Retail Food vs. Asara Resources |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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