Correlation Between Ratchthani Leasing and Heng Leasing
Can any of the company-specific risk be diversified away by investing in both Ratchthani Leasing and Heng Leasing 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 Ratchthani Leasing and Heng Leasing into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ratchthani Leasing Public and Heng Leasing Capital, you can compare the effects of market volatilities on Ratchthani Leasing and Heng Leasing 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 Ratchthani Leasing with a short position of Heng Leasing. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ratchthani Leasing and Heng Leasing.
Diversification Opportunities for Ratchthani Leasing and Heng Leasing
0.79 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Ratchthani and Heng is 0.79. Overlapping area represents the amount of risk that can be diversified away by holding Ratchthani Leasing Public and Heng Leasing Capital in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Heng Leasing Capital and Ratchthani Leasing 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 Ratchthani Leasing Public are associated (or correlated) with Heng Leasing. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Heng Leasing Capital has no effect on the direction of Ratchthani Leasing i.e., Ratchthani Leasing and Heng Leasing go up and down completely randomly.
Pair Corralation between Ratchthani Leasing and Heng Leasing
Assuming the 90 days trading horizon Ratchthani Leasing Public is expected to generate 2.0 times more return on investment than Heng Leasing. However, Ratchthani Leasing is 2.0 times more volatile than Heng Leasing Capital. It trades about 0.06 of its potential returns per unit of risk. Heng Leasing Capital is currently generating about 0.01 per unit of risk. If you would invest 153.00 in Ratchthani Leasing Public on December 24, 2024 and sell it today you would earn a total of 18.00 from holding Ratchthani Leasing Public or generate 11.76% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Ratchthani Leasing Public vs. Heng Leasing Capital
Performance |
Timeline |
Ratchthani Leasing Public |
Heng Leasing Capital |
Ratchthani Leasing and Heng Leasing Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ratchthani Leasing and Heng Leasing
The main advantage of trading using opposite Ratchthani Leasing and Heng Leasing positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ratchthani Leasing position performs unexpectedly, Heng Leasing 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 Heng Leasing will offset losses from the drop in Heng Leasing's long position.Ratchthani Leasing vs. Thanachart Capital Public | Ratchthani Leasing vs. TISCO Financial Group | Ratchthani Leasing vs. Srisawad Power 1979 | Ratchthani Leasing vs. Home Product Center |
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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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