Correlation Between MFF Capital and ARN Media
Can any of the company-specific risk be diversified away by investing in both MFF Capital and ARN Media 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 MFF Capital and ARN Media into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between MFF Capital Investments and ARN Media Limited, you can compare the effects of market volatilities on MFF Capital and ARN Media 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 MFF Capital with a short position of ARN Media. Check out your portfolio center. Please also check ongoing floating volatility patterns of MFF Capital and ARN Media.
Diversification Opportunities for MFF Capital and ARN Media
-0.23 | Correlation Coefficient |
Very good diversification
The 3 months correlation between MFF and ARN is -0.23. Overlapping area represents the amount of risk that can be diversified away by holding MFF Capital Investments and ARN Media Limited in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ARN Media Limited and MFF Capital 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 MFF Capital Investments are associated (or correlated) with ARN Media. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ARN Media Limited has no effect on the direction of MFF Capital i.e., MFF Capital and ARN Media go up and down completely randomly.
Pair Corralation between MFF Capital and ARN Media
Assuming the 90 days trading horizon MFF Capital Investments is expected to under-perform the ARN Media. But the stock apears to be less risky and, when comparing its historical volatility, MFF Capital Investments is 1.42 times less risky than ARN Media. The stock trades about -0.28 of its potential returns per unit of risk. The ARN Media Limited is currently generating about -0.15 of returns per unit of risk over similar time horizon. If you would invest 65.00 in ARN Media Limited on December 4, 2024 and sell it today you would lose (4.00) from holding ARN Media Limited or give up 6.15% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
MFF Capital Investments vs. ARN Media Limited
Performance |
Timeline |
MFF Capital Investments |
ARN Media Limited |
MFF Capital and ARN Media Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with MFF Capital and ARN Media
The main advantage of trading using opposite MFF Capital and ARN Media positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if MFF Capital position performs unexpectedly, ARN Media 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 ARN Media will offset losses from the drop in ARN Media's long position.MFF Capital vs. Carlton Investments | MFF Capital vs. Sandon Capital Investments | MFF Capital vs. Janison Education Group | MFF Capital vs. Charter Hall Retail |
ARN Media vs. Bisalloy Steel Group | ARN Media vs. Hutchison Telecommunications | ARN Media vs. EROAD | ARN Media vs. Saferoads Holdings |
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 Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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