Correlation Between Srisawad Power and Amanah Leasing
Can any of the company-specific risk be diversified away by investing in both Srisawad Power and Amanah 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 Srisawad Power and Amanah Leasing into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Srisawad Power 1979 and Amanah Leasing Public, you can compare the effects of market volatilities on Srisawad Power and Amanah 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 Srisawad Power with a short position of Amanah Leasing. Check out your portfolio center. Please also check ongoing floating volatility patterns of Srisawad Power and Amanah Leasing.
Diversification Opportunities for Srisawad Power and Amanah Leasing
0.75 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Srisawad and Amanah is 0.75. Overlapping area represents the amount of risk that can be diversified away by holding Srisawad Power 1979 and Amanah Leasing Public in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Amanah Leasing Public and Srisawad Power 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 Srisawad Power 1979 are associated (or correlated) with Amanah Leasing. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Amanah Leasing Public has no effect on the direction of Srisawad Power i.e., Srisawad Power and Amanah Leasing go up and down completely randomly.
Pair Corralation between Srisawad Power and Amanah Leasing
Assuming the 90 days trading horizon Srisawad Power 1979 is expected to generate 0.88 times more return on investment than Amanah Leasing. However, Srisawad Power 1979 is 1.13 times less risky than Amanah Leasing. It trades about -0.04 of its potential returns per unit of risk. Amanah Leasing Public is currently generating about -0.23 per unit of risk. If you would invest 4,350 in Srisawad Power 1979 on September 14, 2024 and sell it today you would lose (275.00) from holding Srisawad Power 1979 or give up 6.32% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Srisawad Power 1979 vs. Amanah Leasing Public
Performance |
Timeline |
Srisawad Power 1979 |
Amanah Leasing Public |
Srisawad Power and Amanah Leasing Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Srisawad Power and Amanah Leasing
The main advantage of trading using opposite Srisawad Power and Amanah Leasing positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Srisawad Power position performs unexpectedly, Amanah 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 Amanah Leasing will offset losses from the drop in Amanah Leasing's long position.Srisawad Power vs. Muangthai Capital Public | Srisawad Power vs. Carabao Group Public | Srisawad Power vs. TISCO Financial Group | Srisawad Power vs. Minor International 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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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