Correlation Between Ssangyong Information and BitNine Co
Can any of the company-specific risk be diversified away by investing in both Ssangyong Information 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 Information 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 Information Communication and BitNine Co, you can compare the effects of market volatilities on Ssangyong Information 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 Information with a short position of BitNine Co. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ssangyong Information and BitNine Co.
Diversification Opportunities for Ssangyong Information and BitNine Co
0.49 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Ssangyong and BitNine is 0.49. Overlapping area represents the amount of risk that can be diversified away by holding Ssangyong Information Communic and BitNine Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BitNine Co and Ssangyong Information 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 Information Communication 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 Information i.e., Ssangyong Information and BitNine Co go up and down completely randomly.
Pair Corralation between Ssangyong Information and BitNine Co
Assuming the 90 days trading horizon Ssangyong Information is expected to generate 20.13 times less return on investment than BitNine Co. But when comparing it to its historical volatility, Ssangyong Information Communication is 7.07 times less risky than BitNine Co. It trades about 0.03 of its potential returns per unit of risk. BitNine Co is currently generating about 0.1 of returns per unit of risk over similar time horizon. If you would invest 177,500 in BitNine Co on September 26, 2024 and sell it today you would earn a total of 65,500 from holding BitNine Co or generate 36.9% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Ssangyong Information Communic vs. BitNine Co
Performance |
Timeline |
Ssangyong Information |
BitNine Co |
Ssangyong Information and BitNine Co Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ssangyong Information and BitNine Co
The main advantage of trading using opposite Ssangyong Information and BitNine Co positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ssangyong Information 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 Information vs. Settlebank | Ssangyong Information vs. Korea Computer Systems | Ssangyong Information vs. SSR Inc |
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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 Transaction History module to view history of all your transactions and understand their impact on performance.
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