Correlation Between GM and Danya Cebus
Can any of the company-specific risk be diversified away by investing in both GM and Danya Cebus 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 Danya Cebus into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and Danya Cebus, you can compare the effects of market volatilities on GM and Danya Cebus 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 Danya Cebus. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Danya Cebus.
Diversification Opportunities for GM and Danya Cebus
0.41 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between GM and Danya is 0.41. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Danya Cebus in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Danya Cebus 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 Danya Cebus. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Danya Cebus has no effect on the direction of GM i.e., GM and Danya Cebus go up and down completely randomly.
Pair Corralation between GM and Danya Cebus
Allowing for the 90-day total investment horizon General Motors is expected to under-perform the Danya Cebus. But the stock apears to be less risky and, when comparing its historical volatility, General Motors is 1.55 times less risky than Danya Cebus. The stock trades about -0.06 of its potential returns per unit of risk. The Danya Cebus is currently generating about 0.43 of returns per unit of risk over similar time horizon. If you would invest 1,014,488 in Danya Cebus on September 28, 2024 and sell it today you would earn a total of 178,512 from holding Danya Cebus or generate 17.6% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 85.71% |
Values | Daily Returns |
General Motors vs. Danya Cebus
Performance |
Timeline |
General Motors |
Danya Cebus |
GM and Danya Cebus Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and Danya Cebus
The main advantage of trading using opposite GM and Danya Cebus positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Danya Cebus 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 Danya Cebus will offset losses from the drop in Danya Cebus' long position.The idea behind General Motors and Danya Cebus 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.Danya Cebus vs. Shapir Engineering Industry | Danya Cebus vs. Electra | Danya Cebus vs. Shikun Binui | Danya Cebus vs. Levinstein Eng |
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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