Correlation Between Sung Bo and Youngchang Chemical
Can any of the company-specific risk be diversified away by investing in both Sung Bo 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 Sung Bo and Youngchang Chemical into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sung Bo Chemicals and Youngchang Chemical Co, you can compare the effects of market volatilities on Sung Bo 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 Sung Bo with a short position of Youngchang Chemical. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sung Bo and Youngchang Chemical.
Diversification Opportunities for Sung Bo and Youngchang Chemical
0.79 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Sung and Youngchang is 0.79. Overlapping area represents the amount of risk that can be diversified away by holding Sung Bo Chemicals and Youngchang Chemical Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Youngchang Chemical and Sung Bo 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 Sung Bo Chemicals 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 Sung Bo i.e., Sung Bo and Youngchang Chemical go up and down completely randomly.
Pair Corralation between Sung Bo and Youngchang Chemical
Assuming the 90 days trading horizon Sung Bo Chemicals is expected to under-perform the Youngchang Chemical. But the stock apears to be less risky and, when comparing its historical volatility, Sung Bo Chemicals is 6.22 times less risky than Youngchang Chemical. The stock trades about -0.02 of its potential returns per unit of risk. The Youngchang Chemical Co is currently generating about 0.08 of returns per unit of risk over similar time horizon. If you would invest 960,371 in Youngchang Chemical Co on November 5, 2024 and sell it today you would earn a total of 1,154,629 from holding Youngchang Chemical Co or generate 120.23% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Sung Bo Chemicals vs. Youngchang Chemical Co
Performance |
Timeline |
Sung Bo Chemicals |
Youngchang Chemical |
Sung Bo and Youngchang Chemical Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sung Bo and Youngchang Chemical
The main advantage of trading using opposite Sung Bo and Youngchang Chemical positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sung Bo 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.Sung Bo vs. Daesung Industrial Co | Sung Bo vs. DB Financial Investment | Sung Bo vs. KTB Investment Securities | Sung Bo vs. EBEST Investment Securities |
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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 Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
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