Correlation Between Sungchang Autotech and Nasmedia
Can any of the company-specific risk be diversified away by investing in both Sungchang Autotech and Nasmedia 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 Sungchang Autotech and Nasmedia into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sungchang Autotech Co and Nasmedia Co, you can compare the effects of market volatilities on Sungchang Autotech and Nasmedia 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 Sungchang Autotech with a short position of Nasmedia. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sungchang Autotech and Nasmedia.
Diversification Opportunities for Sungchang Autotech and Nasmedia
0.4 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Sungchang and Nasmedia is 0.4. Overlapping area represents the amount of risk that can be diversified away by holding Sungchang Autotech Co and Nasmedia Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Nasmedia and Sungchang Autotech 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 Sungchang Autotech Co are associated (or correlated) with Nasmedia. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Nasmedia has no effect on the direction of Sungchang Autotech i.e., Sungchang Autotech and Nasmedia go up and down completely randomly.
Pair Corralation between Sungchang Autotech and Nasmedia
Assuming the 90 days trading horizon Sungchang Autotech Co is expected to under-perform the Nasmedia. In addition to that, Sungchang Autotech is 1.34 times more volatile than Nasmedia Co. It trades about -0.08 of its total potential returns per unit of risk. Nasmedia Co is currently generating about -0.04 per unit of volatility. If you would invest 1,470,993 in Nasmedia Co on October 27, 2024 and sell it today you would lose (66,993) from holding Nasmedia Co or give up 4.55% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Sungchang Autotech Co vs. Nasmedia Co
Performance |
Timeline |
Sungchang Autotech |
Nasmedia |
Sungchang Autotech and Nasmedia Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sungchang Autotech and Nasmedia
The main advantage of trading using opposite Sungchang Autotech and Nasmedia positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sungchang Autotech position performs unexpectedly, Nasmedia 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 Nasmedia will offset losses from the drop in Nasmedia's long position.Sungchang Autotech vs. Hansol Homedeco Co | Sungchang Autotech vs. Polaris Office Corp | Sungchang Autotech vs. Lotte Data Communication | Sungchang Autotech vs. Ssangyong Information Communication |
Nasmedia vs. ECSTELECOM Co | Nasmedia vs. Global Standard Technology | Nasmedia vs. Daishin Information Communications | Nasmedia vs. HB Technology TD |
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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