Correlation Between SBI Investment and Hyundai Heavy
Can any of the company-specific risk be diversified away by investing in both SBI Investment and Hyundai Heavy 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 SBI Investment and Hyundai Heavy into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SBI Investment KOREA and Hyundai Heavy Industries, you can compare the effects of market volatilities on SBI Investment and Hyundai Heavy 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 SBI Investment with a short position of Hyundai Heavy. Check out your portfolio center. Please also check ongoing floating volatility patterns of SBI Investment and Hyundai Heavy.
Diversification Opportunities for SBI Investment and Hyundai Heavy
0.1 | Correlation Coefficient |
Average diversification
The 3 months correlation between SBI and Hyundai is 0.1. Overlapping area represents the amount of risk that can be diversified away by holding SBI Investment KOREA and Hyundai Heavy Industries in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hyundai Heavy Industries and SBI Investment 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 SBI Investment KOREA are associated (or correlated) with Hyundai Heavy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hyundai Heavy Industries has no effect on the direction of SBI Investment i.e., SBI Investment and Hyundai Heavy go up and down completely randomly.
Pair Corralation between SBI Investment and Hyundai Heavy
Assuming the 90 days trading horizon SBI Investment KOREA is expected to generate 2.0 times more return on investment than Hyundai Heavy. However, SBI Investment is 2.0 times more volatile than Hyundai Heavy Industries. It trades about 0.03 of its potential returns per unit of risk. Hyundai Heavy Industries is currently generating about 0.02 per unit of risk. If you would invest 73,400 in SBI Investment KOREA on September 12, 2024 and sell it today you would earn a total of 2,500 from holding SBI Investment KOREA or generate 3.41% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
SBI Investment KOREA vs. Hyundai Heavy Industries
Performance |
Timeline |
SBI Investment KOREA |
Hyundai Heavy Industries |
SBI Investment and Hyundai Heavy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SBI Investment and Hyundai Heavy
The main advantage of trading using opposite SBI Investment and Hyundai Heavy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SBI Investment position performs unexpectedly, Hyundai Heavy 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 Hyundai Heavy will offset losses from the drop in Hyundai Heavy's long position.SBI Investment vs. KB Financial Group | SBI Investment vs. Shinhan Financial Group | SBI Investment vs. Hana Financial | SBI Investment vs. Woori Financial Group |
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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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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