Correlation Between YG Entertainment and I-Components
Can any of the company-specific risk be diversified away by investing in both YG Entertainment and I-Components 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 YG Entertainment and I-Components into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between YG Entertainment and i Components Co, you can compare the effects of market volatilities on YG Entertainment and I-Components 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 YG Entertainment with a short position of I-Components. Check out your portfolio center. Please also check ongoing floating volatility patterns of YG Entertainment and I-Components.
Diversification Opportunities for YG Entertainment and I-Components
0.32 | Correlation Coefficient |
Weak diversification
The 3 months correlation between 122870 and I-Components is 0.32. Overlapping area represents the amount of risk that can be diversified away by holding YG Entertainment and i Components Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on i Components and YG Entertainment 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 YG Entertainment are associated (or correlated) with I-Components. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of i Components has no effect on the direction of YG Entertainment i.e., YG Entertainment and I-Components go up and down completely randomly.
Pair Corralation between YG Entertainment and I-Components
Assuming the 90 days trading horizon YG Entertainment is expected to generate 1.07 times more return on investment than I-Components. However, YG Entertainment is 1.07 times more volatile than i Components Co. It trades about 0.01 of its potential returns per unit of risk. i Components Co is currently generating about -0.02 per unit of risk. If you would invest 4,885,376 in YG Entertainment on September 26, 2024 and sell it today you would lose (400,376) from holding YG Entertainment or give up 8.2% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 99.79% |
Values | Daily Returns |
YG Entertainment vs. i Components Co
Performance |
Timeline |
YG Entertainment |
i Components |
YG Entertainment and I-Components Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with YG Entertainment and I-Components
The main advantage of trading using opposite YG Entertainment and I-Components positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if YG Entertainment position performs unexpectedly, I-Components 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 I-Components will offset losses from the drop in I-Components' long position.YG Entertainment vs. Samsung Electronics Co | YG Entertainment vs. Samsung Electronics Co | YG Entertainment vs. KB Financial Group | YG Entertainment vs. Shinhan Financial Group |
I-Components vs. Samsung Electronics Co | I-Components vs. Samsung Electronics Co | I-Components vs. LG Energy Solution | I-Components vs. SK Hynix |
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 Analyzer module to portfolio analysis module that provides access to portfolio diagnostics and optimization engine.
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