Correlation Between INTER CARS and X FAB
Can any of the company-specific risk be diversified away by investing in both INTER CARS and X FAB 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 INTER CARS and X FAB into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between INTER CARS SA and X FAB Silicon Foundries, you can compare the effects of market volatilities on INTER CARS and X FAB 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 INTER CARS with a short position of X FAB. Check out your portfolio center. Please also check ongoing floating volatility patterns of INTER CARS and X FAB.
Diversification Opportunities for INTER CARS and X FAB
0.7 | Correlation Coefficient |
Poor diversification
The 3 months correlation between INTER and XFB is 0.7. Overlapping area represents the amount of risk that can be diversified away by holding INTER CARS SA 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 INTER CARS 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 INTER CARS SA are associated (or correlated) with X FAB. 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 INTER CARS i.e., INTER CARS and X FAB go up and down completely randomly.
Pair Corralation between INTER CARS and X FAB
Assuming the 90 days horizon INTER CARS is expected to generate 1.41 times less return on investment than X FAB. But when comparing it to its historical volatility, INTER CARS SA is 1.65 times less risky than X FAB. It trades about 0.05 of its potential returns per unit of risk. X FAB Silicon Foundries is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest 454.00 in X FAB Silicon Foundries on September 23, 2024 and sell it today you would earn a total of 22.00 from holding X FAB Silicon Foundries or generate 4.85% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
INTER CARS SA vs. X FAB Silicon Foundries
Performance |
Timeline |
INTER CARS SA |
X FAB Silicon |
INTER CARS and X FAB Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with INTER CARS and X FAB
The main advantage of trading using opposite INTER CARS and X FAB positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if INTER CARS position performs unexpectedly, X FAB 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 will offset losses from the drop in X FAB's long position.The idea behind INTER CARS SA and X FAB Silicon Foundries 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.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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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