Correlation Between GM and Qed Connect

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

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

Diversification Opportunities for GM and Qed Connect

0.74

Correlation Coefficient

GM  Qed Connect

Poor diversification

The 3 months correlation between GM and Qed is 0.74. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Qed Connect in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Qed Connect 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 Qed Connect. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Qed Connect has no effect on the direction of GM i.e., GM and Qed Connect go up and down completely randomly.

Pair Corralation between GM and Qed Connect

Allowing for the 90-day total investment horizon GM is expected to generate 13.37 times less return on investment than Qed Connect. But when comparing it to its historical volatility, General Motors is 8.2 times less risky than Qed Connect. It trades about 0.04 of its potential returns per unit of risk. Qed Connect is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest  0.03  in Qed Connect on December 1, 2024 and sell it today you would lose (0.01) from holding Qed Connect or give up 33.33% of portfolio value over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Significant
Accuracy	99.8%
Values	Daily Returns

General Motors  vs.  Qed Connect

General Motors

Risk-Adjusted Performance

Very Weak

Over the last 90 days General Motors has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of latest weak performance, the Stock's primary indicators remain healthy and the recent disarray on Wall Street may also be a sign of long period gains for the firm investors.

Qed Connect

Risk-Adjusted Performance

Insignificant

Compared to the overall equity markets, risk-adjusted returns on investments in Qed Connect are ranked lower than 4 (%) of all global equities and portfolios over the last 90 days. In spite of very conflicting fundamental indicators, Qed Connect displayed solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with GM and Qed Connect

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

The idea behind General Motors and Qed Connect 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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.