Correlation Between Ssangyong Materials and BitNine Co
Can any of the company-specific risk be diversified away by investing in both Ssangyong Materials and BitNine Co 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 Ssangyong Materials and BitNine Co into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ssangyong Materials Corp and BitNine Co, you can compare the effects of market volatilities on Ssangyong Materials and BitNine Co 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 Ssangyong Materials with a short position of BitNine Co. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ssangyong Materials and BitNine Co.
Diversification Opportunities for Ssangyong Materials and BitNine Co
0.04 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Ssangyong and BitNine is 0.04. Overlapping area represents the amount of risk that can be diversified away by holding Ssangyong Materials Corp and BitNine Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BitNine Co and Ssangyong Materials 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 Ssangyong Materials Corp are associated (or correlated) with BitNine Co. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BitNine Co has no effect on the direction of Ssangyong Materials i.e., Ssangyong Materials and BitNine Co go up and down completely randomly.
Pair Corralation between Ssangyong Materials and BitNine Co
Assuming the 90 days trading horizon Ssangyong Materials Corp is expected to under-perform the BitNine Co. But the stock apears to be less risky and, when comparing its historical volatility, Ssangyong Materials Corp is 2.1 times less risky than BitNine Co. The stock trades about -0.06 of its potential returns per unit of risk. The BitNine Co is currently generating about 0.06 of returns per unit of risk over similar time horizon. If you would invest 233,000 in BitNine Co on September 26, 2024 and sell it today you would earn a total of 10,000 from holding BitNine Co or generate 4.29% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Ssangyong Materials Corp vs. BitNine Co
Performance |
Timeline |
Ssangyong Materials Corp |
BitNine Co |
Ssangyong Materials and BitNine Co Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ssangyong Materials and BitNine Co
The main advantage of trading using opposite Ssangyong Materials and BitNine Co positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ssangyong Materials position performs unexpectedly, BitNine Co 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 BitNine Co will offset losses from the drop in BitNine Co's long position.Ssangyong Materials vs. Koryo Credit Information | Ssangyong Materials vs. Pureun Mutual Savings | Ssangyong Materials vs. Nable Communications | Ssangyong Materials vs. Lotte Non Life Insurance |
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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 Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
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