Correlation Between Asia Fiber and Ingress Industrial
Can any of the company-specific risk be diversified away by investing in both Asia Fiber and Ingress Industrial 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 Asia Fiber and Ingress Industrial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Asia Fiber Public and Ingress Industrial Public, you can compare the effects of market volatilities on Asia Fiber and Ingress Industrial 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 Asia Fiber with a short position of Ingress Industrial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Asia Fiber and Ingress Industrial.
Diversification Opportunities for Asia Fiber and Ingress Industrial
0.74 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Asia and Ingress is 0.74. Overlapping area represents the amount of risk that can be diversified away by holding Asia Fiber Public and Ingress Industrial Public in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ingress Industrial Public and Asia Fiber 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 Asia Fiber Public are associated (or correlated) with Ingress Industrial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ingress Industrial Public has no effect on the direction of Asia Fiber i.e., Asia Fiber and Ingress Industrial go up and down completely randomly.
Pair Corralation between Asia Fiber and Ingress Industrial
Assuming the 90 days trading horizon Asia Fiber Public is expected to under-perform the Ingress Industrial. But the stock apears to be less risky and, when comparing its historical volatility, Asia Fiber Public is 2.57 times less risky than Ingress Industrial. The stock trades about -0.02 of its potential returns per unit of risk. The Ingress Industrial Public is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest 32.00 in Ingress Industrial Public on September 25, 2024 and sell it today you would earn a total of 1.00 from holding Ingress Industrial Public or generate 3.13% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Asia Fiber Public vs. Ingress Industrial Public
Performance |
Timeline |
Asia Fiber Public |
Ingress Industrial Public |
Asia Fiber and Ingress Industrial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Asia Fiber and Ingress Industrial
The main advantage of trading using opposite Asia Fiber and Ingress Industrial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Asia Fiber position performs unexpectedly, Ingress Industrial 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 Ingress Industrial will offset losses from the drop in Ingress Industrial's long position.Asia Fiber vs. AJ Plast Public | Asia Fiber vs. Aikchol Hospital Public | Asia Fiber vs. Boutique Newcity Public | Asia Fiber vs. Allianz Ayudhya Capital |
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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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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