Correlation Between Indara Insurance and Krung Thai
Can any of the company-specific risk be diversified away by investing in both Indara Insurance and Krung Thai 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 Krung Thai 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 Krung Thai Bank, you can compare the effects of market volatilities on Indara Insurance and Krung Thai 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 Krung Thai. Check out your portfolio center. Please also check ongoing floating volatility patterns of Indara Insurance and Krung Thai.
Diversification Opportunities for Indara Insurance and Krung Thai
0.39 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Indara and Krung is 0.39. Overlapping area represents the amount of risk that can be diversified away by holding Indara Insurance Public and Krung Thai Bank in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Krung Thai Bank 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 Krung Thai. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Krung Thai Bank has no effect on the direction of Indara Insurance i.e., Indara Insurance and Krung Thai go up and down completely randomly.
Pair Corralation between Indara Insurance and Krung Thai
Assuming the 90 days trading horizon Indara Insurance Public is expected to under-perform the Krung Thai. In addition to that, Indara Insurance is 2.63 times more volatile than Krung Thai Bank. It trades about -0.05 of its total potential returns per unit of risk. Krung Thai Bank is currently generating about 0.06 per unit of volatility. If you would invest 2,050 in Krung Thai Bank on September 17, 2024 and sell it today you would earn a total of 80.00 from holding Krung Thai Bank or generate 3.9% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Indara Insurance Public vs. Krung Thai Bank
Performance |
Timeline |
Indara Insurance Public |
Krung Thai Bank |
Indara Insurance and Krung Thai Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Indara Insurance and Krung Thai
The main advantage of trading using opposite Indara Insurance and Krung Thai positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Indara Insurance position performs unexpectedly, Krung Thai 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 Krung Thai will offset losses from the drop in Krung Thai's long position.Indara Insurance vs. IFS Capital Public | Indara Insurance vs. Internet Thailand Public | Indara Insurance vs. Hwa Fong Rubber | Indara Insurance vs. Haad Thip 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 Sync Your Broker module to sync your existing holdings, watchlists, positions or portfolios from thousands of online brokerage services, banks, investment account aggregators and robo-advisors..
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