Correlation Between SEOWONINTECHCoLtd and Stic Investments
Can any of the company-specific risk be diversified away by investing in both SEOWONINTECHCoLtd and Stic Investments 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 SEOWONINTECHCoLtd and Stic Investments into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SEOWONINTECHCoLtd and Stic Investments, you can compare the effects of market volatilities on SEOWONINTECHCoLtd and Stic Investments 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 SEOWONINTECHCoLtd with a short position of Stic Investments. Check out your portfolio center. Please also check ongoing floating volatility patterns of SEOWONINTECHCoLtd and Stic Investments.
Diversification Opportunities for SEOWONINTECHCoLtd and Stic Investments
0.02 | Correlation Coefficient |
Significant diversification
The 3 months correlation between SEOWONINTECHCoLtd and Stic is 0.02. Overlapping area represents the amount of risk that can be diversified away by holding SEOWONINTECHCoLtd and Stic Investments in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Stic Investments and SEOWONINTECHCoLtd 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 SEOWONINTECHCoLtd are associated (or correlated) with Stic Investments. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Stic Investments has no effect on the direction of SEOWONINTECHCoLtd i.e., SEOWONINTECHCoLtd and Stic Investments go up and down completely randomly.
Pair Corralation between SEOWONINTECHCoLtd and Stic Investments
Assuming the 90 days trading horizon SEOWONINTECHCoLtd is expected to generate 0.58 times more return on investment than Stic Investments. However, SEOWONINTECHCoLtd is 1.71 times less risky than Stic Investments. It trades about 0.43 of its potential returns per unit of risk. Stic Investments is currently generating about 0.13 per unit of risk. If you would invest 505,094 in SEOWONINTECHCoLtd on October 8, 2024 and sell it today you would earn a total of 45,906 from holding SEOWONINTECHCoLtd or generate 9.09% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
SEOWONINTECHCoLtd vs. Stic Investments
Performance |
Timeline |
SEOWONINTECHCoLtd |
Stic Investments |
SEOWONINTECHCoLtd and Stic Investments Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SEOWONINTECHCoLtd and Stic Investments
The main advantage of trading using opposite SEOWONINTECHCoLtd and Stic Investments positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SEOWONINTECHCoLtd position performs unexpectedly, Stic Investments 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 Stic Investments will offset losses from the drop in Stic Investments' long position.SEOWONINTECHCoLtd vs. Samwha Electronics Co | SEOWONINTECHCoLtd vs. A Tech Solution Co | SEOWONINTECHCoLtd vs. Sungmoon Electronics Co | SEOWONINTECHCoLtd vs. Lion Chemtech 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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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