Correlation Between X FAB and Sinopec Oilfield
Can any of the company-specific risk be diversified away by investing in both X FAB and Sinopec Oilfield 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 and Sinopec Oilfield 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 Sinopec Oilfield Service, you can compare the effects of market volatilities on X FAB and Sinopec Oilfield 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 with a short position of Sinopec Oilfield. Check out your portfolio center. Please also check ongoing floating volatility patterns of X FAB and Sinopec Oilfield.
Diversification Opportunities for X FAB and Sinopec Oilfield
-0.28 | Correlation Coefficient |
Very good diversification
The 3 months correlation between XFB and Sinopec is -0.28. Overlapping area represents the amount of risk that can be diversified away by holding X FAB Silicon Foundries and Sinopec Oilfield Service in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sinopec Oilfield Service and X FAB 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 Sinopec Oilfield. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sinopec Oilfield Service has no effect on the direction of X FAB i.e., X FAB and Sinopec Oilfield go up and down completely randomly.
Pair Corralation between X FAB and Sinopec Oilfield
Assuming the 90 days trading horizon X FAB Silicon Foundries is expected to under-perform the Sinopec Oilfield. But the stock apears to be less risky and, when comparing its historical volatility, X FAB Silicon Foundries is 2.4 times less risky than Sinopec Oilfield. The stock trades about -0.07 of its potential returns per unit of risk. The Sinopec Oilfield Service is currently generating about 0.12 of returns per unit of risk over similar time horizon. If you would invest 4.70 in Sinopec Oilfield Service on September 5, 2024 and sell it today you would earn a total of 2.55 from holding Sinopec Oilfield Service or generate 54.26% 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. Sinopec Oilfield Service
Performance |
Timeline |
X FAB Silicon |
Sinopec Oilfield Service |
X FAB and Sinopec Oilfield Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with X FAB and Sinopec Oilfield
The main advantage of trading using opposite X FAB and Sinopec Oilfield positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if X FAB position performs unexpectedly, Sinopec Oilfield 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 Sinopec Oilfield will offset losses from the drop in Sinopec Oilfield's long position.X FAB vs. Gladstone Investment | X FAB vs. Genco Shipping Trading | X FAB vs. SEI INVESTMENTS | X FAB vs. ECHO INVESTMENT ZY |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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