Correlation Between Magnachip Semiconductor and Bet-at-home
Can any of the company-specific risk be diversified away by investing in both Magnachip Semiconductor and Bet-at-home 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 Bet-at-home into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Magnachip Semiconductor and bet at home AG, you can compare the effects of market volatilities on Magnachip Semiconductor and Bet-at-home 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 Bet-at-home. Check out your portfolio center. Please also check ongoing floating volatility patterns of Magnachip Semiconductor and Bet-at-home.
Diversification Opportunities for Magnachip Semiconductor and Bet-at-home
0.39 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Magnachip and Bet-at-home is 0.39. Overlapping area represents the amount of risk that can be diversified away by holding Magnachip Semiconductor and bet at home AG in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on bet at home 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 are associated (or correlated) with Bet-at-home. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of bet at home has no effect on the direction of Magnachip Semiconductor i.e., Magnachip Semiconductor and Bet-at-home go up and down completely randomly.
Pair Corralation between Magnachip Semiconductor and Bet-at-home
Assuming the 90 days horizon Magnachip Semiconductor is expected to generate 2.7 times more return on investment than Bet-at-home. However, Magnachip Semiconductor is 2.7 times more volatile than bet at home AG. It trades about 0.08 of its potential returns per unit of risk. bet at home AG is currently generating about -0.13 per unit of risk. If you would invest 380.00 in Magnachip Semiconductor on September 29, 2024 and sell it today you would earn a total of 16.00 from holding Magnachip Semiconductor or generate 4.21% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Magnachip Semiconductor vs. bet at home AG
Performance |
Timeline |
Magnachip Semiconductor |
bet at home |
Magnachip Semiconductor and Bet-at-home Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Magnachip Semiconductor and Bet-at-home
The main advantage of trading using opposite Magnachip Semiconductor and Bet-at-home positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Magnachip Semiconductor position performs unexpectedly, Bet-at-home 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 Bet-at-home will offset losses from the drop in Bet-at-home's long position.Magnachip Semiconductor vs. Lamar Advertising | Magnachip Semiconductor vs. PACIFIC ONLINE | Magnachip Semiconductor vs. SALESFORCE INC CDR | Magnachip Semiconductor vs. ZhongAn Online P |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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