Correlation Between RS Public and Kiatnakin Phatra
Can any of the company-specific risk be diversified away by investing in both RS Public and Kiatnakin Phatra 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 RS Public and Kiatnakin Phatra into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between RS Public and Kiatnakin Phatra Bank, you can compare the effects of market volatilities on RS Public and Kiatnakin Phatra 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 RS Public with a short position of Kiatnakin Phatra. Check out your portfolio center. Please also check ongoing floating volatility patterns of RS Public and Kiatnakin Phatra.
Diversification Opportunities for RS Public and Kiatnakin Phatra
-0.06 | Correlation Coefficient |
Good diversification
The 3 months correlation between RS-R and Kiatnakin is -0.06. Overlapping area represents the amount of risk that can be diversified away by holding RS Public and Kiatnakin Phatra Bank in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Kiatnakin Phatra Bank and RS Public 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 RS Public are associated (or correlated) with Kiatnakin Phatra. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Kiatnakin Phatra Bank has no effect on the direction of RS Public i.e., RS Public and Kiatnakin Phatra go up and down completely randomly.
Pair Corralation between RS Public and Kiatnakin Phatra
Assuming the 90 days trading horizon RS Public is expected to generate 43.18 times more return on investment than Kiatnakin Phatra. However, RS Public is 43.18 times more volatile than Kiatnakin Phatra Bank. It trades about 0.06 of its potential returns per unit of risk. Kiatnakin Phatra Bank is currently generating about -0.03 per unit of risk. If you would invest 1,601 in RS Public on September 2, 2024 and sell it today you would lose (1,031) from holding RS Public or give up 64.4% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
RS Public vs. Kiatnakin Phatra Bank
Performance |
| Timeline |
| RS Public |
| Kiatnakin Phatra Bank |
RS Public and Kiatnakin Phatra Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with RS Public and Kiatnakin Phatra
The main advantage of trading using opposite RS Public and Kiatnakin Phatra positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if RS Public position performs unexpectedly, Kiatnakin Phatra 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 Kiatnakin Phatra will offset losses from the drop in Kiatnakin Phatra's long position.| RS Public vs. Major Cineplex Group | RS Public vs. The Erawan Group | RS Public vs. Autocorp Holding Public | RS Public vs. XSpring Capital Public |
| Kiatnakin Phatra vs. TISCO Financial Group | Kiatnakin Phatra vs. Kasikornbank Public | Kiatnakin Phatra vs. Thanachart Capital Public | Kiatnakin Phatra vs. SCB X Public |
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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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