Correlation Between GM and Cipherlab

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

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

Diversification Opportunities for GM and Cipherlab

-0.12

Correlation Coefficient

GM  Cipherlab

Good diversification

The 3 months correlation between GM and Cipherlab is -0.12. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Cipherlab Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Cipherlab 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 Cipherlab. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Cipherlab has no effect on the direction of GM i.e., GM and Cipherlab go up and down completely randomly.

Pair Corralation between GM and Cipherlab

Allowing for the 90-day total investment horizon General Motors is expected to generate 0.82 times more return on investment than Cipherlab. However, General Motors is 1.21 times less risky than Cipherlab. It trades about 0.06 of its potential returns per unit of risk. Cipherlab Co is currently generating about -0.05 per unit of risk. If you would invest  4,624  in General Motors on September 26, 2024 and sell it today you would earn a total of  727.00  from holding General Motors or generate 15.72% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Against
Strength	Insignificant
Accuracy	99.21%
Values	Daily Returns

General Motors  vs.  Cipherlab Co

General Motors

Risk-Adjusted Performance

9 of 100

OK

Compared to the overall equity markets, risk-adjusted returns on investments in General Motors are ranked lower than 9 (%) of all global equities and portfolios over the last 90 days. In spite of very weak primary indicators, GM displayed solid returns over the last few months and may actually be approaching a breakup point.

Cipherlab

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days Cipherlab Co has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of fairly stable basic indicators, Cipherlab is not utilizing all of its potentials. The latest stock price fuss, may contribute to near-short-term losses for the sophisticated investors.

Pair Trading with GM and Cipherlab

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

The idea behind General Motors and Cipherlab Co 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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.