Correlation Between STARLUX Airlines and Mitake Information
Can any of the company-specific risk be diversified away by investing in both STARLUX Airlines and Mitake Information 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 STARLUX Airlines and Mitake Information into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between STARLUX Airlines Co and Mitake Information, you can compare the effects of market volatilities on STARLUX Airlines and Mitake Information 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 STARLUX Airlines with a short position of Mitake Information. Check out your portfolio center. Please also check ongoing floating volatility patterns of STARLUX Airlines and Mitake Information.
Diversification Opportunities for STARLUX Airlines and Mitake Information
-0.58 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between STARLUX and Mitake is -0.58. Overlapping area represents the amount of risk that can be diversified away by holding STARLUX Airlines Co and Mitake Information in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mitake Information and STARLUX Airlines 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 STARLUX Airlines Co are associated (or correlated) with Mitake Information. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mitake Information has no effect on the direction of STARLUX Airlines i.e., STARLUX Airlines and Mitake Information go up and down completely randomly.
Pair Corralation between STARLUX Airlines and Mitake Information
Assuming the 90 days trading horizon STARLUX Airlines Co is expected to under-perform the Mitake Information. In addition to that, STARLUX Airlines is 2.09 times more volatile than Mitake Information. It trades about -0.04 of its total potential returns per unit of risk. Mitake Information is currently generating about 0.11 per unit of volatility. If you would invest 6,370 in Mitake Information on September 22, 2024 and sell it today you would earn a total of 330.00 from holding Mitake Information or generate 5.18% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
STARLUX Airlines Co vs. Mitake Information
Performance |
Timeline |
STARLUX Airlines |
Mitake Information |
STARLUX Airlines and Mitake Information Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with STARLUX Airlines and Mitake Information
The main advantage of trading using opposite STARLUX Airlines and Mitake Information positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if STARLUX Airlines position performs unexpectedly, Mitake Information 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 Mitake Information will offset losses from the drop in Mitake Information's long position.STARLUX Airlines vs. Insyde Software | STARLUX Airlines vs. Cameo Communications | STARLUX Airlines vs. Chunghwa Telecom Co | STARLUX Airlines vs. Grand Ocean Retail |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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