Correlation Between DATA and POCC
Can any of the company-specific risk be diversified away by investing in both DATA and POCC 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 POCC into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between DATA and POCC, you can compare the effects of market volatilities on DATA and POCC 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 POCC. Check out your portfolio center. Please also check ongoing floating volatility patterns of DATA and POCC.
Diversification Opportunities for DATA and POCC
Almost no diversification
The 3 months correlation between DATA and POCC is 0.9. Overlapping area represents the amount of risk that can be diversified away by holding DATA and POCC in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on POCC 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 POCC. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of POCC has no effect on the direction of DATA i.e., DATA and POCC go up and down completely randomly.
Pair Corralation between DATA and POCC
Assuming the 90 days trading horizon DATA is expected to under-perform the POCC. In addition to that, DATA is 1.31 times more volatile than POCC. It trades about -0.49 of its total potential returns per unit of risk. POCC is currently generating about -0.19 per unit of volatility. If you would invest 0.02 in POCC on November 10, 2024 and sell it today you would lose 0.00 from holding POCC or give up 18.4% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
DATA vs. POCC
Performance |
| Timeline |
| DATA |
| POCC |
DATA and POCC Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with DATA and POCC
The main advantage of trading using opposite DATA and POCC positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if DATA position performs unexpectedly, POCC 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 POCC will offset losses from the drop in POCC's long position.The idea behind DATA and POCC 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 Investing Opportunities module to build portfolios using our predefined set of ideas and optimize them against your investing preferences.
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