Correlation Between Stic Investments and Next Bt
Can any of the company-specific risk be diversified away by investing in both Stic Investments and Next Bt 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 Stic Investments and Next Bt into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Stic Investments and Next Bt Co, you can compare the effects of market volatilities on Stic Investments and Next Bt 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 Stic Investments with a short position of Next Bt. Check out your portfolio center. Please also check ongoing floating volatility patterns of Stic Investments and Next Bt.
Diversification Opportunities for Stic Investments and Next Bt
-0.21 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Stic and Next is -0.21. Overlapping area represents the amount of risk that can be diversified away by holding Stic Investments and Next Bt Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Next Bt and Stic Investments 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 Stic Investments are associated (or correlated) with Next Bt. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Next Bt has no effect on the direction of Stic Investments i.e., Stic Investments and Next Bt go up and down completely randomly.
Pair Corralation between Stic Investments and Next Bt
Assuming the 90 days trading horizon Stic Investments is expected to generate 1.5 times less return on investment than Next Bt. But when comparing it to its historical volatility, Stic Investments is 3.17 times less risky than Next Bt. It trades about 0.26 of its potential returns per unit of risk. Next Bt Co is currently generating about 0.13 of returns per unit of risk over similar time horizon. If you would invest 21,300 in Next Bt Co on September 25, 2024 and sell it today you would earn a total of 2,100 from holding Next Bt Co or generate 9.86% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 63.64% |
Values | Daily Returns |
Stic Investments vs. Next Bt Co
Performance |
Timeline |
Stic Investments |
Next Bt |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
Stic Investments and Next Bt Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Stic Investments and Next Bt
The main advantage of trading using opposite Stic Investments and Next Bt positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Stic Investments position performs unexpectedly, Next Bt 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 Next Bt will offset losses from the drop in Next Bt's long position.Stic Investments vs. Dongsin Engineering Construction | Stic Investments vs. Doosan Fuel Cell | Stic Investments vs. Daishin Balance 1 | Stic Investments vs. Total Soft Bank |
Next Bt vs. Youngsin Metal Industrial | Next Bt vs. Infinitt Healthcare Co | Next Bt vs. Samsung Life Insurance | Next Bt vs. Aprogen Healthcare Games |
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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
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