Correlation Between GM and Scientex Bhd
Can any of the company-specific risk be diversified away by investing in both GM and Scientex Bhd 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 Scientex Bhd into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and Scientex Bhd, you can compare the effects of market volatilities on GM and Scientex Bhd 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 Scientex Bhd. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Scientex Bhd.
Diversification Opportunities for GM and Scientex Bhd
0.63 | Correlation Coefficient |
Poor diversification
The 3 months correlation between GM and Scientex is 0.63. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Scientex Bhd in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Scientex Bhd 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 Scientex Bhd. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Scientex Bhd has no effect on the direction of GM i.e., GM and Scientex Bhd go up and down completely randomly.
Pair Corralation between GM and Scientex Bhd
Allowing for the 90-day total investment horizon General Motors is expected to generate 1.87 times more return on investment than Scientex Bhd. However, GM is 1.87 times more volatile than Scientex Bhd. It trades about 0.07 of its potential returns per unit of risk. Scientex Bhd is currently generating about 0.02 per unit of risk. If you would invest 4,796 in General Motors on September 24, 2024 and sell it today you would earn a total of 460.00 from holding General Motors or generate 9.59% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
General Motors vs. Scientex Bhd
Performance |
Timeline |
General Motors |
Scientex Bhd |
GM and Scientex Bhd Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and Scientex Bhd
The main advantage of trading using opposite GM and Scientex Bhd positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Scientex Bhd 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 Scientex Bhd will offset losses from the drop in Scientex Bhd's long position.The idea behind General Motors and Scientex Bhd 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.Scientex Bhd vs. Apollo Food Holdings | Scientex Bhd vs. K One Technology Bhd | Scientex Bhd vs. PIE Industrial Bhd | Scientex Bhd vs. Kawan Food Bhd |
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 ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.
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