Correlation Between GM and BitNine Co
Can any of the company-specific risk be diversified away by investing in both GM and BitNine Co 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 BitNine Co into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and BitNine Co, you can compare the effects of market volatilities on GM and BitNine Co 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 BitNine Co. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and BitNine Co.
Diversification Opportunities for GM and BitNine Co
0.52 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between GM and BitNine is 0.52. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and BitNine Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BitNine Co 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 BitNine Co. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BitNine Co has no effect on the direction of GM i.e., GM and BitNine Co go up and down completely randomly.
Pair Corralation between GM and BitNine Co
Allowing for the 90-day total investment horizon General Motors is expected to under-perform the BitNine Co. But the stock apears to be less risky and, when comparing its historical volatility, General Motors is 3.26 times less risky than BitNine Co. The stock trades about -0.26 of its potential returns per unit of risk. The BitNine Co is currently generating about 0.05 of returns per unit of risk over similar time horizon. If you would invest 233,000 in BitNine Co on September 24, 2024 and sell it today you would earn a total of 8,000 from holding BitNine Co or generate 3.43% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 95.45% |
Values | Daily Returns |
General Motors vs. BitNine Co
Performance |
Timeline |
General Motors |
BitNine Co |
GM and BitNine Co Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and BitNine Co
The main advantage of trading using opposite GM and BitNine Co positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, BitNine Co 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 BitNine Co will offset losses from the drop in BitNine Co's long position.The idea behind General Motors and BitNine 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.BitNine Co vs. Samsung Electronics Co | BitNine Co vs. Samsung Electronics Co | BitNine Co vs. LG Energy Solution | BitNine Co vs. SK Hynix |
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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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