Correlation Between Indara Insurance and Charan Insurance
Can any of the company-specific risk be diversified away by investing in both Indara Insurance and Charan Insurance 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 Indara Insurance and Charan Insurance into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Indara Insurance Public and Charan Insurance Public, you can compare the effects of market volatilities on Indara Insurance and Charan Insurance 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 Indara Insurance with a short position of Charan Insurance. Check out your portfolio center. Please also check ongoing floating volatility patterns of Indara Insurance and Charan Insurance.
Diversification Opportunities for Indara Insurance and Charan Insurance
0.38 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Indara and Charan is 0.38. Overlapping area represents the amount of risk that can be diversified away by holding Indara Insurance Public and Charan Insurance Public in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Charan Insurance Public and Indara 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 Indara Insurance Public are associated (or correlated) with Charan Insurance. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Charan Insurance Public has no effect on the direction of Indara Insurance i.e., Indara Insurance and Charan Insurance go up and down completely randomly.
Pair Corralation between Indara Insurance and Charan Insurance
Assuming the 90 days trading horizon Indara Insurance Public is expected to under-perform the Charan Insurance. In addition to that, Indara Insurance is 2.14 times more volatile than Charan Insurance Public. It trades about -0.07 of its total potential returns per unit of risk. Charan Insurance Public is currently generating about -0.02 per unit of volatility. If you would invest 2,200 in Charan Insurance Public on September 24, 2024 and sell it today you would lose (50.00) from holding Charan Insurance Public or give up 2.27% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 98.36% |
Values | Daily Returns |
Indara Insurance Public vs. Charan Insurance Public
Performance |
Timeline |
Indara Insurance Public |
Charan Insurance Public |
Indara Insurance and Charan Insurance Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Indara Insurance and Charan Insurance
The main advantage of trading using opposite Indara Insurance and Charan Insurance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Indara Insurance position performs unexpectedly, Charan Insurance 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 Charan Insurance will offset losses from the drop in Charan Insurance's long position.Indara Insurance vs. Kasikornbank Public | Indara Insurance vs. PTT Public | Indara Insurance vs. The Siam Cement |
Charan Insurance vs. Kasikornbank Public | Charan Insurance vs. PTT Public | Charan Insurance vs. The Siam Cement |
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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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