Correlation Between GM and Lottery, Warrants
Can any of the company-specific risk be diversified away by investing in both GM and Lottery, Warrants 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 Lottery, Warrants into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and Lottery, Warrants, you can compare the effects of market volatilities on GM and Lottery, Warrants 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 Lottery, Warrants. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Lottery, Warrants.
Diversification Opportunities for GM and Lottery, Warrants
-0.4 | Correlation Coefficient |
Very good diversification
The 3 months correlation between GM and Lottery, is -0.4. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Lottery, Warrants in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Lottery, Warrants 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 Lottery, Warrants. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Lottery, Warrants has no effect on the direction of GM i.e., GM and Lottery, Warrants go up and down completely randomly.
Pair Corralation between GM and Lottery, Warrants
Allowing for the 90-day total investment horizon GM is expected to generate 8.03 times less return on investment than Lottery, Warrants. But when comparing it to its historical volatility, General Motors is 7.11 times less risky than Lottery, Warrants. It trades about 0.05 of its potential returns per unit of risk. Lottery, Warrants is currently generating about 0.06 of returns per unit of risk over similar time horizon. If you would invest 1.72 in Lottery, Warrants on September 30, 2024 and sell it today you would lose (0.58) from holding Lottery, Warrants or give up 33.72% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 97.99% |
Values | Daily Returns |
General Motors vs. Lottery, Warrants
Performance |
Timeline |
General Motors |
Lottery, Warrants |
GM and Lottery, Warrants Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and Lottery, Warrants
The main advantage of trading using opposite GM and Lottery, Warrants positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Lottery, Warrants 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 Lottery, Warrants will offset losses from the drop in Lottery, Warrants' long position.The idea behind General Motors and Lottery, Warrants 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.Lottery, Warrants vs. Lottery, Common Stock | Lottery, Warrants vs. Microvast Holdings | Lottery, Warrants vs. AEye Inc | Lottery, Warrants vs. Bakkt Holdings Warrant |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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