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

0.66

Correlation Coefficient

DATA  GRIN

Poor diversification

The 3 months correlation between DATA and GRIN is 0.66. 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 1.31 times less return on investment than GRIN. In addition to that, DATA is 1.04 times more volatile than GRIN. It trades about 0.1 of its total potential returns per unit of risk. GRIN is currently generating about 0.14 per unit of volatility. If you would invest  3.03  in GRIN on September 1, 2024 and sell it today you would earn a total of  1.43  from holding GRIN or generate 47.19% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Significant
Accuracy	100.0%
Values	Daily Returns

DATA  vs.  GRIN

DATA

Risk-Adjusted Performance

8 of 100

Modest

Compared to the overall equity markets, risk-adjusted returns on investments in DATA are ranked lower than 8 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady fundamental indicators, DATA exhibited solid returns over the last few months and may actually be approaching a breakup point.

GRIN

Risk-Adjusted Performance

11 of 100

Good

Compared to the overall equity markets, risk-adjusted returns on investments in GRIN are ranked lower than 11 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady fundamental indicators, GRIN exhibited solid returns over the last few months and may actually be approaching a breakup point.

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.

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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 Financial Widgets module to easily integrated Macroaxis content with over 30 different plug-and-play financial widgets.