Correlation Between Kiatnakin Phatra and Charan Insurance
Can any of the company-specific risk be diversified away by investing in both Kiatnakin Phatra 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 Kiatnakin Phatra and Charan Insurance into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Kiatnakin Phatra Bank and Charan Insurance Public, you can compare the effects of market volatilities on Kiatnakin Phatra 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 Kiatnakin Phatra with a short position of Charan Insurance. Check out your portfolio center. Please also check ongoing floating volatility patterns of Kiatnakin Phatra and Charan Insurance.
Diversification Opportunities for Kiatnakin Phatra and Charan Insurance
-0.14 | Correlation Coefficient |
Good diversification
The 3 months correlation between Kiatnakin and Charan is -0.14. Overlapping area represents the amount of risk that can be diversified away by holding Kiatnakin Phatra Bank 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 Kiatnakin Phatra 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 Kiatnakin Phatra Bank 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 Kiatnakin Phatra i.e., Kiatnakin Phatra and Charan Insurance go up and down completely randomly.
Pair Corralation between Kiatnakin Phatra and Charan Insurance
Assuming the 90 days trading horizon Kiatnakin Phatra is expected to generate 69.86 times less return on investment than Charan Insurance. But when comparing it to its historical volatility, Kiatnakin Phatra Bank is 38.58 times less risky than Charan Insurance. It trades about 0.03 of its potential returns per unit of risk. Charan Insurance Public is currently generating about 0.06 of returns per unit of risk over similar time horizon. If you would invest 2,230 in Charan Insurance Public on September 15, 2024 and sell it today you would lose (70.00) from holding Charan Insurance Public or give up 3.14% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Kiatnakin Phatra Bank vs. Charan Insurance Public
Performance |
Timeline |
Kiatnakin Phatra Bank |
Charan Insurance Public |
Kiatnakin Phatra and Charan Insurance Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Kiatnakin Phatra and Charan Insurance
The main advantage of trading using opposite Kiatnakin Phatra and Charan Insurance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kiatnakin Phatra 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.Kiatnakin Phatra vs. KGI Securities Public | Kiatnakin Phatra vs. Lalin Property Public | Kiatnakin Phatra vs. Hwa Fong Rubber | Kiatnakin Phatra vs. MCS Steel Public |
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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 Ceiling Movement module to calculate and plot Price Ceiling Movement for different equity instruments.
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