Correlation Between X FAB and X-FAB Silicon
Can any of the company-specific risk be diversified away by investing in both X FAB 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 X FAB 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 X FAB Silicon Foundries and X FAB Silicon Foundries, you can compare the effects of market volatilities on X FAB 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 X FAB with a short position of X-FAB Silicon. Check out your portfolio center. Please also check ongoing floating volatility patterns of X FAB and X-FAB Silicon.
Diversification Opportunities for X FAB and X-FAB Silicon
0.9 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between XFB and X-FAB is 0.9. Overlapping area represents the amount of risk that can be diversified away by holding X FAB Silicon Foundries 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 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 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 X FAB i.e., X FAB and X-FAB Silicon go up and down completely randomly.
Pair Corralation between X FAB and X-FAB Silicon
Assuming the 90 days trading horizon X FAB Silicon Foundries is expected to under-perform the X-FAB Silicon. But the stock apears to be less risky and, when comparing its historical volatility, X FAB Silicon Foundries is 1.06 times less risky than X-FAB Silicon. The stock trades about -0.14 of its potential returns per unit of risk. The X FAB Silicon Foundries is currently generating about -0.12 of returns per unit of risk over similar time horizon. If you would invest 498.00 in X FAB Silicon Foundries on December 29, 2024 and sell it today you would lose (104.00) from holding X FAB Silicon Foundries or give up 20.88% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
X FAB Silicon Foundries vs. X FAB Silicon Foundries
Performance |
Timeline |
X FAB Silicon |
X FAB Silicon |
X FAB and X-FAB Silicon Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with X FAB and X-FAB Silicon
The main advantage of trading using opposite X FAB and X-FAB Silicon positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if X FAB 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.X FAB vs. Globex Mining Enterprises | X FAB vs. HomeToGo SE | X FAB vs. bet at home AG | X FAB vs. AIR PRODCHEMICALS |
X-FAB Silicon vs. Suntory Beverage Food | X-FAB Silicon vs. NORTHEAST UTILITIES | X-FAB Silicon vs. MHP Hotel AG | X-FAB Silicon vs. PREMIER FOODS |
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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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