Correlation Between Mitsib Leasing and Saksiam Leasing
Can any of the company-specific risk be diversified away by investing in both Mitsib Leasing and Saksiam 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 Mitsib Leasing and Saksiam Leasing into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Mitsib Leasing Public and Saksiam Leasing Public, you can compare the effects of market volatilities on Mitsib Leasing and Saksiam 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 Mitsib Leasing with a short position of Saksiam Leasing. Check out your portfolio center. Please also check ongoing floating volatility patterns of Mitsib Leasing and Saksiam Leasing.
Diversification Opportunities for Mitsib Leasing and Saksiam Leasing
0.66 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Mitsib and Saksiam is 0.66. Overlapping area represents the amount of risk that can be diversified away by holding Mitsib Leasing Public and Saksiam Leasing Public in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Saksiam Leasing Public and Mitsib 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 Mitsib Leasing Public are associated (or correlated) with Saksiam Leasing. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Saksiam Leasing Public has no effect on the direction of Mitsib Leasing i.e., Mitsib Leasing and Saksiam Leasing go up and down completely randomly.
Pair Corralation between Mitsib Leasing and Saksiam Leasing
Assuming the 90 days trading horizon Mitsib Leasing Public is expected to generate 0.77 times more return on investment than Saksiam Leasing. However, Mitsib Leasing Public is 1.31 times less risky than Saksiam Leasing. It trades about -0.06 of its potential returns per unit of risk. Saksiam Leasing Public is currently generating about -0.12 per unit of risk. If you would invest 70.00 in Mitsib Leasing Public on December 28, 2024 and sell it today you would lose (6.00) from holding Mitsib Leasing Public or give up 8.57% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Mitsib Leasing Public vs. Saksiam Leasing Public
Performance |
Timeline |
Mitsib Leasing Public |
Saksiam Leasing Public |
Mitsib Leasing and Saksiam Leasing Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Mitsib Leasing and Saksiam Leasing
The main advantage of trading using opposite Mitsib Leasing and Saksiam Leasing positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Mitsib Leasing position performs unexpectedly, Saksiam 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 Saksiam Leasing will offset losses from the drop in Saksiam Leasing's long position.Mitsib Leasing vs. Meta Public | Mitsib Leasing vs. Megachem Public | Mitsib Leasing vs. Multibax Public | Mitsib Leasing vs. Loxley 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 Analyzer module to portfolio analysis module that provides access to portfolio diagnostics and optimization engine.
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