Correlation Between GM and Climb Bio

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

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

Diversification Opportunities for GM and Climb Bio

-0.62

Correlation Coefficient

GM  Climb Bio

Excellent diversification

The 3 months correlation between GM and Climb is -0.62. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Climb Bio in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Climb Bio and GM 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 General Motors are associated (or correlated) with Climb Bio. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Climb Bio has no effect on the direction of GM i.e., GM and Climb Bio go up and down completely randomly.

Pair Corralation between GM and Climb Bio

Allowing for the 90-day total investment horizon General Motors is expected to generate 0.56 times more return on investment than Climb Bio. However, General Motors is 1.78 times less risky than Climb Bio. It trades about -0.11 of its potential returns per unit of risk. Climb Bio is currently generating about -0.4 per unit of risk. If you would invest  5,555  in General Motors on September 22, 2024 and sell it today you would lose (374.00) from holding General Motors or give up 6.73% of portfolio value over 90 days.

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

General Motors  vs.  Climb Bio

General Motors

Risk-Adjusted Performance

4 of 100

Insignificant

Compared to the overall equity markets, risk-adjusted returns on investments in General Motors are ranked lower than 4 (%) of all global equities and portfolios over the last 90 days. In spite of very weak primary indicators, GM may actually be approaching a critical reversion point that can send shares even higher in January 2025.

Climb Bio

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days Climb Bio has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of weak performance in the last few months, the Stock's basic indicators remain very healthy which may send shares a bit higher in January 2025. The recent disarray may also be a sign of long period up-swing for the firm investors.

Pair Trading with GM and Climb Bio

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

The idea behind General Motors and Climb Bio 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 Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.