Correlation Between MagnaChip Semiconductor and Eli Lilly
Can any of the company-specific risk be diversified away by investing in both MagnaChip Semiconductor and Eli Lilly 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 MagnaChip Semiconductor and Eli Lilly into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between MagnaChip Semiconductor Corp and Eli Lilly and, you can compare the effects of market volatilities on MagnaChip Semiconductor and Eli Lilly 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 MagnaChip Semiconductor with a short position of Eli Lilly. Check out your portfolio center. Please also check ongoing floating volatility patterns of MagnaChip Semiconductor and Eli Lilly.
Diversification Opportunities for MagnaChip Semiconductor and Eli Lilly
0.87 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between MagnaChip and Eli is 0.87. Overlapping area represents the amount of risk that can be diversified away by holding MagnaChip Semiconductor Corp and Eli Lilly and in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Eli Lilly and MagnaChip Semiconductor 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 MagnaChip Semiconductor Corp are associated (or correlated) with Eli Lilly. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Eli Lilly has no effect on the direction of MagnaChip Semiconductor i.e., MagnaChip Semiconductor and Eli Lilly go up and down completely randomly.
Pair Corralation between MagnaChip Semiconductor and Eli Lilly
Assuming the 90 days trading horizon MagnaChip Semiconductor Corp is expected to generate 1.4 times more return on investment than Eli Lilly. However, MagnaChip Semiconductor is 1.4 times more volatile than Eli Lilly and. It trades about -0.03 of its potential returns per unit of risk. Eli Lilly and is currently generating about -0.05 per unit of risk. If you would invest 412.00 in MagnaChip Semiconductor Corp on September 18, 2024 and sell it today you would lose (34.00) from holding MagnaChip Semiconductor Corp or give up 8.25% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
MagnaChip Semiconductor Corp vs. Eli Lilly and
Performance |
Timeline |
MagnaChip Semiconductor |
Eli Lilly |
MagnaChip Semiconductor and Eli Lilly Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with MagnaChip Semiconductor and Eli Lilly
The main advantage of trading using opposite MagnaChip Semiconductor and Eli Lilly positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if MagnaChip Semiconductor position performs unexpectedly, Eli Lilly 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 Eli Lilly will offset losses from the drop in Eli Lilly's long position.MagnaChip Semiconductor vs. SBA Communications Corp | MagnaChip Semiconductor vs. Charter Communications | MagnaChip Semiconductor vs. EBRO FOODS | MagnaChip Semiconductor vs. SCANDMEDICAL SOLDK 040 |
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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 Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.
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