Correlation Between GM and Nano Dimension
Can any of the company-specific risk be diversified away by investing in both GM and Nano Dimension 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 Nano Dimension into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and Nano Dimension, you can compare the effects of market volatilities on GM and Nano Dimension 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 Nano Dimension. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Nano Dimension.
Diversification Opportunities for GM and Nano Dimension
-0.27 | Correlation Coefficient |
Very good diversification
The 3 months correlation between GM and Nano is -0.27. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Nano Dimension in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Nano Dimension 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 Nano Dimension. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Nano Dimension has no effect on the direction of GM i.e., GM and Nano Dimension go up and down completely randomly.
Pair Corralation between GM and Nano Dimension
Allowing for the 90-day total investment horizon General Motors is expected to under-perform the Nano Dimension. But the stock apears to be less risky and, when comparing its historical volatility, General Motors is 2.13 times less risky than Nano Dimension. The stock trades about -0.23 of its potential returns per unit of risk. The Nano Dimension is currently generating about 0.15 of returns per unit of risk over similar time horizon. If you would invest 202.00 in Nano Dimension on September 23, 2024 and sell it today you would earn a total of 30.00 from holding Nano Dimension or generate 14.85% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 95.45% |
Values | Daily Returns |
General Motors vs. Nano Dimension
Performance |
Timeline |
General Motors |
Nano Dimension |
GM and Nano Dimension Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and Nano Dimension
The main advantage of trading using opposite GM and Nano Dimension positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Nano Dimension 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 Nano Dimension will offset losses from the drop in Nano Dimension's long position.The idea behind General Motors and Nano Dimension 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.Nano Dimension vs. HP Inc | Nano Dimension vs. Dell Technologies | Nano Dimension vs. SEIKO EPSON PADR | Nano Dimension vs. Corsair Gaming |
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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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