Correlation Between Sabien Technology and Central Asia
Can any of the company-specific risk be diversified away by investing in both Sabien Technology and Central Asia 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 Sabien Technology and Central Asia into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sabien Technology Group and Central Asia Metals, you can compare the effects of market volatilities on Sabien Technology and Central Asia 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 Sabien Technology with a short position of Central Asia. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sabien Technology and Central Asia.
Diversification Opportunities for Sabien Technology and Central Asia
0.26 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Sabien and Central is 0.26. Overlapping area represents the amount of risk that can be diversified away by holding Sabien Technology Group and Central Asia Metals in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Central Asia Metals and Sabien Technology 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 Sabien Technology Group are associated (or correlated) with Central Asia. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Central Asia Metals has no effect on the direction of Sabien Technology i.e., Sabien Technology and Central Asia go up and down completely randomly.
Pair Corralation between Sabien Technology and Central Asia
Assuming the 90 days trading horizon Sabien Technology Group is expected to generate 1.86 times more return on investment than Central Asia. However, Sabien Technology is 1.86 times more volatile than Central Asia Metals. It trades about 0.01 of its potential returns per unit of risk. Central Asia Metals is currently generating about -0.01 per unit of risk. If you would invest 1,175 in Sabien Technology Group on August 30, 2024 and sell it today you would lose (175.00) from holding Sabien Technology Group or give up 14.89% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Sabien Technology Group vs. Central Asia Metals
Performance |
Timeline |
Sabien Technology |
Central Asia Metals |
Sabien Technology and Central Asia Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sabien Technology and Central Asia
The main advantage of trading using opposite Sabien Technology and Central Asia positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sabien Technology position performs unexpectedly, Central Asia 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 Central Asia will offset losses from the drop in Central Asia's long position.Sabien Technology vs. Samsung Electronics Co | Sabien Technology vs. Samsung Electronics Co | Sabien Technology vs. Toyota Motor Corp | Sabien Technology vs. Reliance Industries Ltd |
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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 Transaction History module to view history of all your transactions and understand their impact on performance.
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