Correlation Between X FAB and CHEMICAL INDUSTRIES
Can any of the company-specific risk be diversified away by investing in both X FAB and CHEMICAL INDUSTRIES 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 CHEMICAL INDUSTRIES 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 CHEMICAL INDUSTRIES, you can compare the effects of market volatilities on X FAB and CHEMICAL INDUSTRIES 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 CHEMICAL INDUSTRIES. Check out your portfolio center. Please also check ongoing floating volatility patterns of X FAB and CHEMICAL INDUSTRIES.
Diversification Opportunities for X FAB and CHEMICAL INDUSTRIES
0.0 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between XFB and CHEMICAL is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding X FAB Silicon Foundries and CHEMICAL INDUSTRIES in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CHEMICAL INDUSTRIES 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 CHEMICAL INDUSTRIES. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CHEMICAL INDUSTRIES has no effect on the direction of X FAB i.e., X FAB and CHEMICAL INDUSTRIES go up and down completely randomly.
Pair Corralation between X FAB and CHEMICAL INDUSTRIES
If you would invest 435.00 in X FAB Silicon Foundries on September 24, 2024 and sell it today you would earn a total of 41.00 from holding X FAB Silicon Foundries or generate 9.43% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Flat |
| Strength | Insignificant |
| Accuracy | 95.24% |
| Values | Daily Returns |
X FAB Silicon Foundries vs. CHEMICAL INDUSTRIES
Performance |
| Timeline |
| X FAB Silicon |
| CHEMICAL INDUSTRIES |
X FAB and CHEMICAL INDUSTRIES Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with X FAB and CHEMICAL INDUSTRIES
The main advantage of trading using opposite X FAB and CHEMICAL INDUSTRIES positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if X FAB position performs unexpectedly, CHEMICAL INDUSTRIES 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 CHEMICAL INDUSTRIES will offset losses from the drop in CHEMICAL INDUSTRIES's long position.The idea behind X FAB Silicon Foundries and CHEMICAL INDUSTRIES pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.| CHEMICAL INDUSTRIES vs. Apple Inc | CHEMICAL INDUSTRIES vs. Apple Inc | CHEMICAL INDUSTRIES vs. Apple Inc | CHEMICAL INDUSTRIES vs. Microsoft |
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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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