Correlation Between DATA and Puffer
Can any of the company-specific risk be diversified away by investing in both DATA and Puffer 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 Puffer into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between DATA and Puffer, you can compare the effects of market volatilities on DATA and Puffer 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 Puffer. Check out your portfolio center. Please also check ongoing floating volatility patterns of DATA and Puffer.
Diversification Opportunities for DATA and Puffer
Very weak diversification
The 3 months correlation between DATA and Puffer is 0.42. Overlapping area represents the amount of risk that can be diversified away by holding DATA and Puffer in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Puffer 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 Puffer. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Puffer has no effect on the direction of DATA i.e., DATA and Puffer go up and down completely randomly.
Pair Corralation between DATA and Puffer
Assuming the 90 days trading horizon DATA is expected to under-perform the Puffer. But the crypto coin apears to be less risky and, when comparing its historical volatility, DATA is 1.26 times less risky than Puffer. The crypto coin trades about -0.53 of its potential returns per unit of risk. The Puffer is currently generating about -0.24 of returns per unit of risk over similar time horizon. If you would invest 69.00 in Puffer on November 8, 2024 and sell it today you would lose (25.00) from holding Puffer or give up 36.23% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
DATA vs. Puffer
Performance |
| Timeline |
| DATA |
| Puffer |
DATA and Puffer Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with DATA and Puffer
The main advantage of trading using opposite DATA and Puffer positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if DATA position performs unexpectedly, Puffer 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 Puffer will offset losses from the drop in Puffer's long position.The idea behind DATA and Puffer 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 Bonds Directory module to find actively traded corporate debentures issued by US companies.
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