Correlation Between Lease IT and Saksiam Leasing
Can any of the company-specific risk be diversified away by investing in both Lease IT 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 Lease IT and Saksiam Leasing into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Lease IT Public and Saksiam Leasing Public, you can compare the effects of market volatilities on Lease IT 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 Lease IT with a short position of Saksiam Leasing. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lease IT and Saksiam Leasing.
Diversification Opportunities for Lease IT and Saksiam Leasing
0.05 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Lease and Saksiam is 0.05. Overlapping area represents the amount of risk that can be diversified away by holding Lease IT 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 Lease IT 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 Lease IT 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 Lease IT i.e., Lease IT and Saksiam Leasing go up and down completely randomly.
Pair Corralation between Lease IT and Saksiam Leasing
Assuming the 90 days trading horizon Lease IT Public is expected to under-perform the Saksiam Leasing. But the stock apears to be less risky and, when comparing its historical volatility, Lease IT Public is 1.02 times less risky than Saksiam Leasing. The stock trades about -0.21 of its potential returns per unit of risk. The Saksiam Leasing Public is currently generating about -0.04 of returns per unit of risk over similar time horizon. If you would invest 560.00 in Saksiam Leasing Public on September 16, 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 Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Lease IT Public vs. Saksiam Leasing Public
Performance |
Timeline |
Lease IT Public |
Saksiam Leasing Public |
Lease IT and Saksiam Leasing Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Lease IT and Saksiam Leasing
The main advantage of trading using opposite Lease IT and Saksiam Leasing positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lease IT 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.Lease IT vs. Srisawad Power 1979 | Lease IT vs. Muangthai Capital Public | Lease IT vs. Micro Leasing Public | Lease IT vs. Krungthai Card PCL |
Saksiam Leasing vs. Srisawad Power 1979 | Saksiam Leasing vs. Muangthai Capital Public | Saksiam Leasing vs. Micro Leasing Public | Saksiam Leasing vs. Krungthai Card PCL |
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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