Correlation Between SK Chemicals and Youngchang Chemical
Can any of the company-specific risk be diversified away by investing in both SK Chemicals and Youngchang Chemical 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 SK Chemicals and Youngchang Chemical into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SK Chemicals Co and Youngchang Chemical Co, you can compare the effects of market volatilities on SK Chemicals and Youngchang Chemical 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 SK Chemicals with a short position of Youngchang Chemical. Check out your portfolio center. Please also check ongoing floating volatility patterns of SK Chemicals and Youngchang Chemical.
Diversification Opportunities for SK Chemicals and Youngchang Chemical
0.95 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between 28513K and Youngchang is 0.95. Overlapping area represents the amount of risk that can be diversified away by holding SK Chemicals Co and Youngchang Chemical Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Youngchang Chemical and SK Chemicals 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 SK Chemicals Co are associated (or correlated) with Youngchang Chemical. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Youngchang Chemical has no effect on the direction of SK Chemicals i.e., SK Chemicals and Youngchang Chemical go up and down completely randomly.
Pair Corralation between SK Chemicals and Youngchang Chemical
Assuming the 90 days trading horizon SK Chemicals is expected to generate 2.95 times less return on investment than Youngchang Chemical. But when comparing it to its historical volatility, SK Chemicals Co is 1.32 times less risky than Youngchang Chemical. It trades about 0.2 of its potential returns per unit of risk. Youngchang Chemical Co is currently generating about 0.45 of returns per unit of risk over similar time horizon. If you would invest 1,105,000 in Youngchang Chemical Co on October 8, 2024 and sell it today you would earn a total of 341,000 from holding Youngchang Chemical Co or generate 30.86% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
SK Chemicals Co vs. Youngchang Chemical Co
Performance |
Timeline |
SK Chemicals |
Youngchang Chemical |
SK Chemicals and Youngchang Chemical Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SK Chemicals and Youngchang Chemical
The main advantage of trading using opposite SK Chemicals and Youngchang Chemical positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SK Chemicals position performs unexpectedly, Youngchang Chemical 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 Youngchang Chemical will offset losses from the drop in Youngchang Chemical's long position.SK Chemicals vs. DSC Investment | SK Chemicals vs. HB Technology TD | SK Chemicals vs. SV Investment | SK Chemicals vs. Puloon Technology |
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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 Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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