Correlation Between Bualuang Office and Saksiam Leasing
Can any of the company-specific risk be diversified away by investing in both Bualuang Office 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 Bualuang Office and Saksiam Leasing into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bualuang Office Leasehold and Saksiam Leasing Public, you can compare the effects of market volatilities on Bualuang Office 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 Bualuang Office with a short position of Saksiam Leasing. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bualuang Office and Saksiam Leasing.
Diversification Opportunities for Bualuang Office and Saksiam Leasing
-0.01 | Correlation Coefficient |
Good diversification
The 3 months correlation between Bualuang and Saksiam is -0.01. Overlapping area represents the amount of risk that can be diversified away by holding Bualuang Office Leasehold 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 Bualuang Office 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 Bualuang Office Leasehold 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 Bualuang Office i.e., Bualuang Office and Saksiam Leasing go up and down completely randomly.
Pair Corralation between Bualuang Office and Saksiam Leasing
Assuming the 90 days trading horizon Bualuang Office Leasehold is expected to under-perform the Saksiam Leasing. In addition to that, Bualuang Office is 4.05 times more volatile than Saksiam Leasing Public. It trades about -0.12 of its total potential returns per unit of risk. Saksiam Leasing Public is currently generating about -0.04 per unit of volatility. If you would invest 560.00 in Saksiam Leasing Public on September 15, 2024 and sell it today you would lose (60.00) from holding Saksiam Leasing Public or give up 10.71% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Bualuang Office Leasehold vs. Saksiam Leasing Public
Performance |
Timeline |
Bualuang Office Leasehold |
Saksiam Leasing Public |
Bualuang Office and Saksiam Leasing Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bualuang Office and Saksiam Leasing
The main advantage of trading using opposite Bualuang Office and Saksiam Leasing positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bualuang Office 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.Bualuang Office vs. Micro Leasing Public | Bualuang Office vs. Siamgas and Petrochemicals | Bualuang Office vs. Pato Chemical Industry | Bualuang Office vs. ALT Telecom 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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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