Correlation Between Youngsin Metal and YeSUN Tech
Can any of the company-specific risk be diversified away by investing in both Youngsin Metal and YeSUN Tech 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 Youngsin Metal and YeSUN Tech into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Youngsin Metal Industrial and YeSUN Tech CoLtd, you can compare the effects of market volatilities on Youngsin Metal and YeSUN Tech 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 Youngsin Metal with a short position of YeSUN Tech. Check out your portfolio center. Please also check ongoing floating volatility patterns of Youngsin Metal and YeSUN Tech.
Diversification Opportunities for Youngsin Metal and YeSUN Tech
0.9 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Youngsin and YeSUN is 0.9. Overlapping area represents the amount of risk that can be diversified away by holding Youngsin Metal Industrial and YeSUN Tech CoLtd in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on YeSUN Tech CoLtd and Youngsin Metal 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 Youngsin Metal Industrial are associated (or correlated) with YeSUN Tech. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of YeSUN Tech CoLtd has no effect on the direction of Youngsin Metal i.e., Youngsin Metal and YeSUN Tech go up and down completely randomly.
Pair Corralation between Youngsin Metal and YeSUN Tech
Assuming the 90 days trading horizon Youngsin Metal Industrial is expected to generate 0.66 times more return on investment than YeSUN Tech. However, Youngsin Metal Industrial is 1.51 times less risky than YeSUN Tech. It trades about -0.2 of its potential returns per unit of risk. YeSUN Tech CoLtd is currently generating about -0.18 per unit of risk. If you would invest 269,000 in Youngsin Metal Industrial on September 12, 2024 and sell it today you would lose (69,100) from holding Youngsin Metal Industrial or give up 25.69% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Youngsin Metal Industrial vs. YeSUN Tech CoLtd
Performance |
Timeline |
Youngsin Metal Industrial |
YeSUN Tech CoLtd |
Youngsin Metal and YeSUN Tech Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Youngsin Metal and YeSUN Tech
The main advantage of trading using opposite Youngsin Metal and YeSUN Tech positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Youngsin Metal position performs unexpectedly, YeSUN Tech 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 YeSUN Tech will offset losses from the drop in YeSUN Tech's long position.Youngsin Metal vs. Korea New Network | Youngsin Metal vs. Solution Advanced Technology | Youngsin Metal vs. Busan Industrial Co | Youngsin Metal vs. Busan Ind |
YeSUN Tech vs. Youngsin Metal Industrial | YeSUN Tech vs. Digital Power Communications | YeSUN Tech vs. Kukil Metal Co | YeSUN Tech vs. Inzi Display CoLtd |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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