Correlation Between MTY Food and X-FAB Silicon
Can any of the company-specific risk be diversified away by investing in both MTY Food and X-FAB Silicon 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 MTY Food and X-FAB Silicon into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between MTY Food Group and X FAB Silicon Foundries, you can compare the effects of market volatilities on MTY Food and X-FAB Silicon 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 MTY Food with a short position of X-FAB Silicon. Check out your portfolio center. Please also check ongoing floating volatility patterns of MTY Food and X-FAB Silicon.
Diversification Opportunities for MTY Food and X-FAB Silicon
-0.04 | Correlation Coefficient |
Good diversification
The 3 months correlation between MTY and X-FAB is -0.04. Overlapping area represents the amount of risk that can be diversified away by holding MTY Food Group and X FAB Silicon Foundries in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on X FAB Silicon and MTY Food 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 MTY Food Group are associated (or correlated) with X-FAB Silicon. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of X FAB Silicon has no effect on the direction of MTY Food i.e., MTY Food and X-FAB Silicon go up and down completely randomly.
Pair Corralation between MTY Food and X-FAB Silicon
Assuming the 90 days horizon MTY Food Group is expected to under-perform the X-FAB Silicon. But the stock apears to be less risky and, when comparing its historical volatility, MTY Food Group is 1.42 times less risky than X-FAB Silicon. The stock trades about -0.21 of its potential returns per unit of risk. The X FAB Silicon Foundries is currently generating about 0.13 of returns per unit of risk over similar time horizon. If you would invest 501.00 in X FAB Silicon Foundries on October 10, 2024 and sell it today you would earn a total of 20.00 from holding X FAB Silicon Foundries or generate 3.99% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
MTY Food Group vs. X FAB Silicon Foundries
Performance |
Timeline |
MTY Food Group |
X FAB Silicon |
MTY Food and X-FAB Silicon Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with MTY Food and X-FAB Silicon
The main advantage of trading using opposite MTY Food and X-FAB Silicon positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if MTY Food position performs unexpectedly, X-FAB Silicon 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 X-FAB Silicon will offset losses from the drop in X-FAB Silicon's long position.MTY Food vs. Carnegie Clean Energy | MTY Food vs. Lifeway Foods | MTY Food vs. EBRO FOODS | MTY Food vs. INDOFOOD AGRI RES |
X-FAB Silicon vs. Fast Retailing Co | X-FAB Silicon vs. BANK OF CHINA | X-FAB Silicon vs. SPORT LISBOA E | X-FAB Silicon vs. Discover Financial Services |
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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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