Correlation Between DATA and FXP
Can any of the company-specific risk be diversified away by investing in both DATA and FXP 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 DATA and FXP into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between DATA and FXP, you can compare the effects of market volatilities on DATA and FXP 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 DATA with a short position of FXP. Check out your portfolio center. Please also check ongoing floating volatility patterns of DATA and FXP.
Diversification Opportunities for DATA and FXP
Pay attention - limited upside
The 3 months correlation between DATA and FXP is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding DATA and FXP in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on FXP and DATA 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 DATA are associated (or correlated) with FXP. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of FXP has no effect on the direction of DATA i.e., DATA and FXP go up and down completely randomly.
Pair Corralation between DATA and FXP
If you would invest 2.74 in DATA on August 25, 2024 and sell it today you would earn a total of 1.35 from holding DATA or generate 49.27% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Flat |
| Strength | Insignificant |
| Accuracy | 55.33% |
| Values | Daily Returns |
DATA vs. FXP
Performance |
| Timeline |
| DATA |
| FXP |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
DATA and FXP Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with DATA and FXP
The main advantage of trading using opposite DATA and FXP positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if DATA position performs unexpectedly, FXP 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 FXP will offset losses from the drop in FXP's long position.The idea behind DATA and FXP 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 Price Ceiling Movement module to calculate and plot Price Ceiling Movement for different equity instruments.
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