Correlation Between NEOWIZ HOLDINGS and Ssangyong Materials
Can any of the company-specific risk be diversified away by investing in both NEOWIZ HOLDINGS and Ssangyong Materials 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 NEOWIZ HOLDINGS and Ssangyong Materials into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between NEOWIZ HOLDINGS and Ssangyong Materials Corp, you can compare the effects of market volatilities on NEOWIZ HOLDINGS and Ssangyong Materials 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 NEOWIZ HOLDINGS with a short position of Ssangyong Materials. Check out your portfolio center. Please also check ongoing floating volatility patterns of NEOWIZ HOLDINGS and Ssangyong Materials.
Diversification Opportunities for NEOWIZ HOLDINGS and Ssangyong Materials
0.32 | Correlation Coefficient |
Weak diversification
The 3 months correlation between NEOWIZ and Ssangyong is 0.32. Overlapping area represents the amount of risk that can be diversified away by holding NEOWIZ HOLDINGS and Ssangyong Materials Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ssangyong Materials Corp and NEOWIZ HOLDINGS 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 NEOWIZ HOLDINGS are associated (or correlated) with Ssangyong Materials. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ssangyong Materials Corp has no effect on the direction of NEOWIZ HOLDINGS i.e., NEOWIZ HOLDINGS and Ssangyong Materials go up and down completely randomly.
Pair Corralation between NEOWIZ HOLDINGS and Ssangyong Materials
Assuming the 90 days trading horizon NEOWIZ HOLDINGS is expected to generate 1.44 times more return on investment than Ssangyong Materials. However, NEOWIZ HOLDINGS is 1.44 times more volatile than Ssangyong Materials Corp. It trades about 0.07 of its potential returns per unit of risk. Ssangyong Materials Corp is currently generating about 0.06 per unit of risk. If you would invest 1,882,000 in NEOWIZ HOLDINGS on September 16, 2024 and sell it today you would earn a total of 268,000 from holding NEOWIZ HOLDINGS or generate 14.24% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
NEOWIZ HOLDINGS vs. Ssangyong Materials Corp
Performance |
Timeline |
NEOWIZ HOLDINGS |
Ssangyong Materials Corp |
NEOWIZ HOLDINGS and Ssangyong Materials Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with NEOWIZ HOLDINGS and Ssangyong Materials
The main advantage of trading using opposite NEOWIZ HOLDINGS and Ssangyong Materials positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NEOWIZ HOLDINGS position performs unexpectedly, Ssangyong Materials 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 Ssangyong Materials will offset losses from the drop in Ssangyong Materials' long position.NEOWIZ HOLDINGS vs. Ssangyong Materials Corp | NEOWIZ HOLDINGS vs. Digital Power Communications | NEOWIZ HOLDINGS vs. Lake Materials Co | NEOWIZ HOLDINGS vs. SK Telecom Co |
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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 Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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