Correlation Between GM and Ether ETF

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

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

Diversification Opportunities for GM and Ether ETF

0.58

Correlation Coefficient

GM  Ether ETF

Very weak diversification

The 3 months correlation between GM and Ether is 0.58. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Ether ETF CAD in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ether ETF CAD 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 Ether ETF. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ether ETF CAD has no effect on the direction of GM i.e., GM and Ether ETF go up and down completely randomly.

Pair Corralation between GM and Ether ETF

Allowing for the 90-day total investment horizon GM is expected to generate 1.18 times less return on investment than Ether ETF. But when comparing it to its historical volatility, General Motors is 2.0 times less risky than Ether ETF. It trades about 0.12 of its potential returns per unit of risk. Ether ETF CAD is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest  971.00  in Ether ETF CAD on September 23, 2024 and sell it today you would earn a total of  706.00  from holding Ether ETF CAD or generate 72.71% return on investment over 90 days.

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

General Motors  vs.  Ether ETF CAD

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 unfluctuating primary indicators, GM may actually be approaching a critical reversion point that can send shares even higher in January 2025.

Ether ETF CAD

Risk-Adjusted Performance

10 of 100

OK

Compared to the overall equity markets, risk-adjusted returns on investments in Ether ETF CAD are ranked lower than 10 (%) of all global equities and portfolios over the last 90 days. In spite of very unfluctuating basic indicators, Ether ETF displayed solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with GM and Ether ETF

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

The idea behind General Motors and Ether ETF CAD 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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.