Correlation Between GSC and CHP

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

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

Diversification Opportunities for GSC and CHP

-0.01

Correlation Coefficient

GSC  CHP

Good diversification

The 3 months correlation between GSC and CHP is -0.01. Overlapping area represents the amount of risk that can be diversified away by holding GSC and CHP in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CHP and GSC 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 GSC are associated (or correlated) with CHP. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CHP has no effect on the direction of GSC i.e., GSC and CHP go up and down completely randomly.

Pair Corralation between GSC and CHP

If you would invest  0.07  in CHP on September 1, 2024 and sell it today you would lose (0.07) from holding CHP or give up 94.89% of portfolio value over 90 days.

Time Period	3 Months [change]
Direction	Moves Against
Strength	Insignificant
Accuracy	0.76%
Values	Daily Returns

GSC  vs.  CHP

GSC

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days GSC has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of rather sound fundamental indicators, GSC is not utilizing all of its potentials. The latest stock price tumult, may contribute to shorter-term losses for the shareholders.

CHP

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days CHP has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of unsteady performance in the last few months, the Crypto's basic indicators remain rather sound which may send shares a bit higher in December 2024. The latest tumult may also be a sign of longer-term up-swing for CHP shareholders.

Pair Trading with GSC and CHP

The main advantage of trading using opposite GSC and CHP positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GSC position performs unexpectedly, CHP 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 CHP will offset losses from the drop in CHP's long position.

The idea behind GSC and CHP 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 Portfolio Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.