Correlation Between Bet At and X FAB
Can any of the company-specific risk be diversified away by investing in both Bet At 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 Bet At and X FAB into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between bet at home AG and X FAB Silicon Foundries, you can compare the effects of market volatilities on Bet At 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 Bet At with a short position of X FAB. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bet At and X FAB.
Diversification Opportunities for Bet At and X FAB
Modest diversification
The 3 months correlation between Bet and XFB is 0.21. Overlapping area represents the amount of risk that can be diversified away by holding bet at home AG 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 Bet At 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 bet at home AG 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 Bet At i.e., Bet At and X FAB go up and down completely randomly.
Pair Corralation between Bet At and X FAB
Assuming the 90 days trading horizon bet at home AG is expected to under-perform the X FAB. But the stock apears to be less risky and, when comparing its historical volatility, bet at home AG is 1.68 times less risky than X FAB. The stock trades about -0.04 of its potential returns per unit of risk. The X FAB Silicon Foundries is currently generating about 0.19 of returns per unit of risk over similar time horizon. If you would invest 457.00 in X FAB Silicon Foundries on October 5, 2024 and sell it today you would earn a total of 35.00 from holding X FAB Silicon Foundries or generate 7.66% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
bet at home AG vs. X FAB Silicon Foundries
Performance |
Timeline |
bet at home |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
X FAB Silicon |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
Bet At and X FAB Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bet At and X FAB
The main advantage of trading using opposite Bet At and X FAB positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bet At 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 bet at home AG 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 Transaction History module to view history of all your transactions and understand their impact on performance.
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