Correlation Between Charan Insurance and AIM Industrial
Can any of the company-specific risk be diversified away by investing in both Charan Insurance and AIM 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 Charan Insurance and AIM Industrial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Charan Insurance Public and AIM Industrial Growth, you can compare the effects of market volatilities on Charan Insurance and AIM 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 Charan Insurance with a short position of AIM Industrial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Charan Insurance and AIM Industrial.
Diversification Opportunities for Charan Insurance and AIM Industrial
0.07 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Charan and AIM is 0.07. Overlapping area represents the amount of risk that can be diversified away by holding Charan Insurance Public and AIM Industrial Growth in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on AIM Industrial Growth and Charan Insurance 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 Charan Insurance Public are associated (or correlated) with AIM Industrial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of AIM Industrial Growth has no effect on the direction of Charan Insurance i.e., Charan Insurance and AIM Industrial go up and down completely randomly.
Pair Corralation between Charan Insurance and AIM Industrial
Assuming the 90 days trading horizon Charan Insurance Public is expected to generate 50.46 times more return on investment than AIM Industrial. However, Charan Insurance is 50.46 times more volatile than AIM Industrial Growth. It trades about 0.04 of its potential returns per unit of risk. AIM Industrial Growth is currently generating about 0.01 per unit of risk. If you would invest 2,544 in Charan Insurance Public on September 24, 2024 and sell it today you would lose (394.00) from holding Charan Insurance Public or give up 15.49% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Charan Insurance Public vs. AIM Industrial Growth
Performance |
Timeline |
Charan Insurance Public |
AIM Industrial Growth |
Charan Insurance and AIM Industrial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Charan Insurance and AIM Industrial
The main advantage of trading using opposite Charan Insurance and AIM Industrial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Charan Insurance position performs unexpectedly, AIM 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 AIM Industrial will offset losses from the drop in AIM Industrial's long position.Charan Insurance vs. Kasikornbank Public | Charan Insurance vs. PTT Public | Charan Insurance vs. The Siam Cement |
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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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