Correlation Between Sangsangin Investment and Kwang Jin
Can any of the company-specific risk be diversified away by investing in both Sangsangin Investment and Kwang Jin 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 Sangsangin Investment and Kwang Jin into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sangsangin Investment Securities and Kwang Jin Ind, you can compare the effects of market volatilities on Sangsangin Investment and Kwang Jin 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 Sangsangin Investment with a short position of Kwang Jin. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sangsangin Investment and Kwang Jin.
Diversification Opportunities for Sangsangin Investment and Kwang Jin
0.7 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Sangsangin and Kwang is 0.7. Overlapping area represents the amount of risk that can be diversified away by holding Sangsangin Investment Securiti and Kwang Jin Ind in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Kwang Jin Ind and Sangsangin 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 Sangsangin Investment Securities are associated (or correlated) with Kwang Jin. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Kwang Jin Ind has no effect on the direction of Sangsangin Investment i.e., Sangsangin Investment and Kwang Jin go up and down completely randomly.
Pair Corralation between Sangsangin Investment and Kwang Jin
Assuming the 90 days trading horizon Sangsangin Investment is expected to generate 3.76 times less return on investment than Kwang Jin. In addition to that, Sangsangin Investment is 1.07 times more volatile than Kwang Jin Ind. It trades about 0.02 of its total potential returns per unit of risk. Kwang Jin Ind is currently generating about 0.08 per unit of volatility. If you would invest 198,500 in Kwang Jin Ind on September 19, 2024 and sell it today you would earn a total of 5,500 from holding Kwang Jin Ind or generate 2.77% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Sangsangin Investment Securiti vs. Kwang Jin Ind
Performance |
Timeline |
Sangsangin Investment |
Kwang Jin Ind |
Sangsangin Investment and Kwang Jin Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sangsangin Investment and Kwang Jin
The main advantage of trading using opposite Sangsangin Investment and Kwang Jin positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sangsangin Investment position performs unexpectedly, Kwang Jin 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 Kwang Jin will offset losses from the drop in Kwang Jin's long position.Sangsangin Investment vs. KB Financial Group | Sangsangin Investment vs. Shinhan Financial Group | Sangsangin Investment vs. Hana Financial | Sangsangin 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 Fundamental Analysis module to view fundamental data based on most recent published financial statements.
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