Correlation Between X-FAB Silicon and Mitsubishi Gas
Can any of the company-specific risk be diversified away by investing in both X-FAB Silicon and Mitsubishi Gas 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 X-FAB Silicon and Mitsubishi Gas into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between X FAB Silicon Foundries and Mitsubishi Gas Chemical, you can compare the effects of market volatilities on X-FAB Silicon and Mitsubishi Gas 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 X-FAB Silicon with a short position of Mitsubishi Gas. Check out your portfolio center. Please also check ongoing floating volatility patterns of X-FAB Silicon and Mitsubishi Gas.
Diversification Opportunities for X-FAB Silicon and Mitsubishi Gas
-0.12 | Correlation Coefficient |
Good diversification
The 3 months correlation between X-FAB and Mitsubishi is -0.12. Overlapping area represents the amount of risk that can be diversified away by holding X FAB Silicon Foundries and Mitsubishi Gas Chemical in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mitsubishi Gas Chemical and X-FAB Silicon 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 X FAB Silicon Foundries are associated (or correlated) with Mitsubishi Gas. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mitsubishi Gas Chemical has no effect on the direction of X-FAB Silicon i.e., X-FAB Silicon and Mitsubishi Gas go up and down completely randomly.
Pair Corralation between X-FAB Silicon and Mitsubishi Gas
Assuming the 90 days trading horizon X FAB Silicon Foundries is expected to under-perform the Mitsubishi Gas. In addition to that, X-FAB Silicon is 2.29 times more volatile than Mitsubishi Gas Chemical. It trades about -0.06 of its total potential returns per unit of risk. Mitsubishi Gas Chemical is currently generating about 0.06 per unit of volatility. If you would invest 1,670 in Mitsubishi Gas Chemical on September 3, 2024 and sell it today you would earn a total of 80.00 from holding Mitsubishi Gas Chemical or generate 4.79% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
X FAB Silicon Foundries vs. Mitsubishi Gas Chemical
Performance |
Timeline |
X FAB Silicon |
Mitsubishi Gas Chemical |
X-FAB Silicon and Mitsubishi Gas Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with X-FAB Silicon and Mitsubishi Gas
The main advantage of trading using opposite X-FAB Silicon and Mitsubishi Gas positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if X-FAB Silicon position performs unexpectedly, Mitsubishi Gas 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 Mitsubishi Gas will offset losses from the drop in Mitsubishi Gas' long position.X-FAB Silicon vs. Apple Inc | X-FAB Silicon vs. Apple Inc | X-FAB Silicon vs. Apple Inc | X-FAB Silicon vs. Apple Inc |
Mitsubishi Gas vs. Apple Inc | Mitsubishi Gas vs. Apple Inc | Mitsubishi Gas vs. Apple Inc | Mitsubishi Gas vs. Apple Inc |
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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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