Correlation Between GM and Duksan Hi
Can any of the company-specific risk be diversified away by investing in both GM and Duksan Hi 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 Duksan Hi into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and Duksan Hi Metal, you can compare the effects of market volatilities on GM and Duksan Hi 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 Duksan Hi. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Duksan Hi.
Diversification Opportunities for GM and Duksan Hi
Pay attention - limited upside
The 3 months correlation between GM and Duksan is -0.77. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Duksan Hi Metal in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Duksan Hi Metal 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 Duksan Hi. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Duksan Hi Metal has no effect on the direction of GM i.e., GM and Duksan Hi go up and down completely randomly.
Pair Corralation between GM and Duksan Hi
Allowing for the 90-day total investment horizon General Motors is expected to generate 0.88 times more return on investment than Duksan Hi. However, General Motors is 1.14 times less risky than Duksan Hi. It trades about 0.16 of its potential returns per unit of risk. Duksan Hi Metal is currently generating about -0.21 per unit of risk. If you would invest 4,893 in General Motors on August 28, 2024 and sell it today you would earn a total of 1,127 from holding General Motors or generate 23.03% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Weak |
| Accuracy | 92.06% |
| Values | Daily Returns |
General Motors vs. Duksan Hi Metal
Performance |
| Timeline |
| General Motors |
| Duksan Hi Metal |
GM and Duksan Hi Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with GM and Duksan Hi
The main advantage of trading using opposite GM and Duksan Hi positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Duksan Hi 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 Duksan Hi will offset losses from the drop in Duksan Hi's long position.The idea behind General Motors and Duksan Hi Metal 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.| Duksan Hi vs. Korea Real Estate | Duksan Hi vs. Korea Ratings Co | Duksan Hi vs. IQuest Co | Duksan Hi vs. Wonbang Tech Co |
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 Transaction History module to view history of all your transactions and understand their impact on performance.
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