Correlation Between Alphanam and Industrial Urban
Can any of the company-specific risk be diversified away by investing in both Alphanam and Industrial Urban 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 Alphanam and Industrial Urban into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Alphanam ME and Industrial Urban Development, you can compare the effects of market volatilities on Alphanam and Industrial Urban 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 Alphanam with a short position of Industrial Urban. Check out your portfolio center. Please also check ongoing floating volatility patterns of Alphanam and Industrial Urban.
Diversification Opportunities for Alphanam and Industrial Urban
0.65 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Alphanam and Industrial is 0.65. Overlapping area represents the amount of risk that can be diversified away by holding Alphanam ME and Industrial Urban Development in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Industrial Urban Dev and Alphanam 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 Alphanam ME are associated (or correlated) with Industrial Urban. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Industrial Urban Dev has no effect on the direction of Alphanam i.e., Alphanam and Industrial Urban go up and down completely randomly.
Pair Corralation between Alphanam and Industrial Urban
Assuming the 90 days trading horizon Alphanam ME is expected to under-perform the Industrial Urban. But the stock apears to be less risky and, when comparing its historical volatility, Alphanam ME is 1.07 times less risky than Industrial Urban. The stock trades about -0.19 of its potential returns per unit of risk. The Industrial Urban Development is currently generating about -0.13 of returns per unit of risk over similar time horizon. If you would invest 4,210,000 in Industrial Urban Development on September 14, 2024 and sell it today you would lose (1,045,000) from holding Industrial Urban Development or give up 24.82% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 53.13% |
Values | Daily Returns |
Alphanam ME vs. Industrial Urban Development
Performance |
Timeline |
Alphanam ME |
Industrial Urban Dev |
Alphanam and Industrial Urban Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Alphanam and Industrial Urban
The main advantage of trading using opposite Alphanam and Industrial Urban positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Alphanam position performs unexpectedly, Industrial Urban 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 Industrial Urban will offset losses from the drop in Industrial Urban's long position.Alphanam vs. FIT INVEST JSC | Alphanam vs. Damsan JSC | Alphanam vs. An Phat Plastic | Alphanam vs. APG Securities Joint |
Industrial Urban vs. FIT INVEST JSC | Industrial Urban vs. Damsan JSC | Industrial Urban vs. An Phat Plastic | Industrial Urban vs. Alphanam ME |
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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