Correlation Between GM and AnalytixInsight
Can any of the company-specific risk be diversified away by investing in both GM and AnalytixInsight 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 AnalytixInsight into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and AnalytixInsight, you can compare the effects of market volatilities on GM and AnalytixInsight 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 AnalytixInsight. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and AnalytixInsight.
Diversification Opportunities for GM and AnalytixInsight
-0.57 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between GM and AnalytixInsight is -0.57. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and AnalytixInsight in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on AnalytixInsight 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 AnalytixInsight. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of AnalytixInsight has no effect on the direction of GM i.e., GM and AnalytixInsight go up and down completely randomly.
Pair Corralation between GM and AnalytixInsight
Allowing for the 90-day total investment horizon General Motors is expected to under-perform the AnalytixInsight. But the stock apears to be less risky and, when comparing its historical volatility, General Motors is 8.71 times less risky than AnalytixInsight. The stock trades about -0.13 of its potential returns per unit of risk. The AnalytixInsight is currently generating about 0.14 of returns per unit of risk over similar time horizon. If you would invest 1.60 in AnalytixInsight on November 28, 2024 and sell it today you would earn a total of 1.60 from holding AnalytixInsight or generate 100.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 98.31% |
Values | Daily Returns |
General Motors vs. AnalytixInsight
Performance |
Timeline |
General Motors |
AnalytixInsight |
GM and AnalytixInsight Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and AnalytixInsight
The main advantage of trading using opposite GM and AnalytixInsight positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, AnalytixInsight 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 AnalytixInsight will offset losses from the drop in AnalytixInsight's long position.The idea behind General Motors and AnalytixInsight 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.AnalytixInsight vs. Ackroo Inc | AnalytixInsight vs. CurrentC Power | AnalytixInsight vs. Auddia Inc | AnalytixInsight vs. Agent Information Software |
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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