Correlation Between GM and Lytus Technologies
Can any of the company-specific risk be diversified away by investing in both GM and Lytus Technologies 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 Lytus Technologies into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and Lytus Technologies Holdings, you can compare the effects of market volatilities on GM and Lytus Technologies 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 Lytus Technologies. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Lytus Technologies.
Diversification Opportunities for GM and Lytus Technologies
-0.31 | Correlation Coefficient |
Very good diversification
The 3 months correlation between GM and Lytus is -0.31. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Lytus Technologies Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Lytus Technologies 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 Lytus Technologies. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Lytus Technologies has no effect on the direction of GM i.e., GM and Lytus Technologies go up and down completely randomly.
Pair Corralation between GM and Lytus Technologies
Allowing for the 90-day total investment horizon General Motors is expected to generate 0.54 times more return on investment than Lytus Technologies. However, General Motors is 1.84 times less risky than Lytus Technologies. It trades about 0.1 of its potential returns per unit of risk. Lytus Technologies Holdings is currently generating about -0.02 per unit of risk. If you would invest 4,829 in General Motors on September 3, 2024 and sell it today you would earn a total of 730.00 from holding General Motors or generate 15.12% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
General Motors vs. Lytus Technologies Holdings
Performance |
Timeline |
General Motors |
Lytus Technologies |
GM and Lytus Technologies Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and Lytus Technologies
The main advantage of trading using opposite GM and Lytus Technologies positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Lytus Technologies 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 Lytus Technologies will offset losses from the drop in Lytus Technologies' long position.The idea behind General Motors and Lytus Technologies Holdings 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.Lytus Technologies vs. Salesforce | Lytus Technologies vs. Workday | Lytus Technologies vs. Unity 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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