Correlation Between Astar and SG Capital
Can any of the company-specific risk be diversified away by investing in both Astar and SG Capital 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 Astar and SG Capital into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Astar and SG Capital PCL, you can compare the effects of market volatilities on Astar and SG Capital 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 Astar with a short position of SG Capital. Check out your portfolio center. Please also check ongoing floating volatility patterns of Astar and SG Capital.
Diversification Opportunities for Astar and SG Capital
0.1 | Correlation Coefficient |
Average diversification
The 3 months correlation between Astar and SGC is 0.1. Overlapping area represents the amount of risk that can be diversified away by holding Astar and SG Capital PCL in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SG Capital PCL and Astar 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 Astar are associated (or correlated) with SG Capital. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SG Capital PCL has no effect on the direction of Astar i.e., Astar and SG Capital go up and down completely randomly.
Pair Corralation between Astar and SG Capital
Assuming the 90 days trading horizon Astar is expected to under-perform the SG Capital. In addition to that, Astar is 1.3 times more volatile than SG Capital PCL. It trades about -0.15 of its total potential returns per unit of risk. SG Capital PCL is currently generating about -0.14 per unit of volatility. If you would invest 116.00 in SG Capital PCL on October 27, 2024 and sell it today you would lose (12.00) from holding SG Capital PCL or give up 10.34% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 95.24% |
Values | Daily Returns |
Astar vs. SG Capital PCL
Performance |
Timeline |
Astar |
SG Capital PCL |
Astar and SG Capital Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Astar and SG Capital
The main advantage of trading using opposite Astar and SG Capital positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Astar position performs unexpectedly, SG Capital 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 SG Capital will offset losses from the drop in SG Capital's long position.The idea behind Astar and SG Capital PCL pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.SG Capital vs. Jay Mart Public | SG Capital vs. Singer Thailand Public | SG Capital vs. JMT Network Services | SG Capital vs. Muangthai Capital Public |
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 Top Crypto Exchanges module to search and analyze digital assets across top global cryptocurrency exchanges.
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