Correlation Between Sixt Leasing and Micron Technology
Can any of the company-specific risk be diversified away by investing in both Sixt Leasing and Micron Technology 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 Sixt Leasing and Micron Technology into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sixt Leasing SE and Micron Technology, you can compare the effects of market volatilities on Sixt Leasing and Micron Technology 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 Sixt Leasing with a short position of Micron Technology. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sixt Leasing and Micron Technology.
Diversification Opportunities for Sixt Leasing and Micron Technology
-0.33 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Sixt and Micron is -0.33. Overlapping area represents the amount of risk that can be diversified away by holding Sixt Leasing SE and Micron Technology in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Micron Technology and Sixt Leasing 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 Sixt Leasing SE are associated (or correlated) with Micron Technology. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Micron Technology has no effect on the direction of Sixt Leasing i.e., Sixt Leasing and Micron Technology go up and down completely randomly.
Pair Corralation between Sixt Leasing and Micron Technology
Assuming the 90 days trading horizon Sixt Leasing SE is expected to under-perform the Micron Technology. But the stock apears to be less risky and, when comparing its historical volatility, Sixt Leasing SE is 2.02 times less risky than Micron Technology. The stock trades about -0.06 of its potential returns per unit of risk. The Micron Technology is currently generating about 0.09 of returns per unit of risk over similar time horizon. If you would invest 7,859 in Micron Technology on September 12, 2024 and sell it today you would earn a total of 1,400 from holding Micron Technology or generate 17.81% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Sixt Leasing SE vs. Micron Technology
Performance |
Timeline |
Sixt Leasing SE |
Micron Technology |
Sixt Leasing and Micron Technology Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sixt Leasing and Micron Technology
The main advantage of trading using opposite Sixt Leasing and Micron Technology positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sixt Leasing position performs unexpectedly, Micron Technology 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 Micron Technology will offset losses from the drop in Micron Technology's long position.Sixt Leasing vs. Apple Inc | Sixt Leasing vs. Apple Inc | Sixt Leasing vs. Apple Inc | Sixt Leasing vs. Apple Inc |
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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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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