Correlation Between DATA and GRIN
Can any of the company-specific risk be diversified away by investing in both DATA and GRIN 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 DATA and GRIN into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between DATA and GRIN, you can compare the effects of market volatilities on DATA and GRIN 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 DATA with a short position of GRIN. Check out your portfolio center. Please also check ongoing floating volatility patterns of DATA and GRIN.
Diversification Opportunities for DATA and GRIN
Average diversification
The 3 months correlation between DATA and GRIN is 0.16. Overlapping area represents the amount of risk that can be diversified away by holding DATA and GRIN in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on GRIN and DATA 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 DATA are associated (or correlated) with GRIN. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of GRIN has no effect on the direction of DATA i.e., DATA and GRIN go up and down completely randomly.
Pair Corralation between DATA and GRIN
Assuming the 90 days trading horizon DATA is expected to generate 1.87 times more return on investment than GRIN. However, DATA is 1.87 times more volatile than GRIN. It trades about -0.09 of its potential returns per unit of risk. GRIN is currently generating about -0.21 per unit of risk. If you would invest 7.60 in DATA on February 7, 2024 and sell it today you would lose (1.64) from holding DATA or give up 21.58% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
DATA vs. GRIN
Performance |
Timeline |
DATA |
GRIN |
DATA and GRIN Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with DATA and GRIN
The main advantage of trading using opposite DATA and GRIN positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if DATA position performs unexpectedly, GRIN 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 GRIN will offset losses from the drop in GRIN's long position.The idea behind DATA and GRIN 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 Fundamentals Comparison module to compare fundamentals across multiple equities to find investing opportunities.
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