Correlation Between QKC and GRIN

Can any of the company-specific risk be diversified away by investing in both QKC 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 QKC and GRIN into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between QKC and GRIN, you can compare the effects of market volatilities on QKC 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 QKC with a short position of GRIN. Check out your portfolio center. Please also check ongoing floating volatility patterns of QKC and GRIN.

Diversification Opportunities for QKC and GRIN

0.51

Correlation Coefficient

QKC  GRIN

Very weak diversification

The 3 months correlation between QKC and GRIN is 0.51. Overlapping area represents the amount of risk that can be diversified away by holding QKC and GRIN in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on GRIN and QKC 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 QKC 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 QKC i.e., QKC and GRIN go up and down completely randomly.

Pair Corralation between QKC and GRIN

Assuming the 90 days trading horizon QKC is expected to generate 4.81 times more return on investment than GRIN. However, QKC is 4.81 times more volatile than GRIN. It trades about 0.17 of its potential returns per unit of risk. GRIN is currently generating about 0.42 per unit of risk. If you would invest  0.84  in QKC on August 30, 2024 and sell it today you would earn a total of  0.41  from holding QKC or generate 48.33% return on investment over 90 days.

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

QKC  vs.  GRIN

QKC

Risk-Adjusted Performance

6 of 100

OK

Compared to the overall equity markets, risk-adjusted returns on investments in QKC are ranked lower than 6 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady fundamental indicators, QKC exhibited solid returns over the last few months and may actually be approaching a breakup point.

GRIN

Risk-Adjusted Performance

7 of 100

OK

Compared to the overall equity markets, risk-adjusted returns on investments in GRIN are ranked lower than 7 (%) 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 QKC and GRIN

The main advantage of trading using opposite QKC and GRIN positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if QKC 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 QKC 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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.