Correlation Between SC and DATA
Can any of the company-specific risk be diversified away by investing in both SC and DATA 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 SC and DATA into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SC and DATA, you can compare the effects of market volatilities on SC and DATA 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 SC with a short position of DATA. Check out your portfolio center. Please also check ongoing floating volatility patterns of SC and DATA.
Diversification Opportunities for SC and DATA
Modest diversification
The 3 months correlation between SC and DATA is 0.26. Overlapping area represents the amount of risk that can be diversified away by holding SC and DATA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on DATA and SC 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 SC are associated (or correlated) with DATA. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of DATA has no effect on the direction of SC i.e., SC and DATA go up and down completely randomly.
Pair Corralation between SC and DATA
Assuming the 90 days horizon SC is expected to generate 1.12 times more return on investment than DATA. However, SC is 1.12 times more volatile than DATA. It trades about 0.19 of its potential returns per unit of risk. DATA is currently generating about 0.12 per unit of risk. If you would invest 0.49 in SC on August 23, 2024 and sell it today you would earn a total of 0.11 from holding SC or generate 21.83% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
SC vs. DATA
Performance |
| Timeline |
| SC |
| DATA |
SC and DATA Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with SC and DATA
The main advantage of trading using opposite SC and DATA positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SC position performs unexpectedly, DATA 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 DATA will offset losses from the drop in DATA's long position.The idea behind SC and DATA 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.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 Options Analysis module to analyze and evaluate options and option chains as a potential hedge for your portfolios.
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