Correlation Between QKC and Hivemapper
Can any of the company-specific risk be diversified away by investing in both QKC and Hivemapper 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 QKC and Hivemapper into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between QKC and Hivemapper, you can compare the effects of market volatilities on QKC and Hivemapper 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 QKC with a short position of Hivemapper. Check out your portfolio center. Please also check ongoing floating volatility patterns of QKC and Hivemapper.
Diversification Opportunities for QKC and Hivemapper
0.52 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between QKC and Hivemapper is 0.52. Overlapping area represents the amount of risk that can be diversified away by holding QKC and Hivemapper in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hivemapper and QKC 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 QKC are associated (or correlated) with Hivemapper. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hivemapper has no effect on the direction of QKC i.e., QKC and Hivemapper go up and down completely randomly.
Pair Corralation between QKC and Hivemapper
Assuming the 90 days trading horizon QKC is expected to generate 1.17 times more return on investment than Hivemapper. However, QKC is 1.17 times more volatile than Hivemapper. It trades about -0.16 of its potential returns per unit of risk. Hivemapper is currently generating about -0.29 per unit of risk. If you would invest 1.14 in QKC on November 11, 2024 and sell it today you would lose (0.27) from holding QKC or give up 23.83% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
QKC vs. Hivemapper
Performance |
| Timeline |
| QKC |
| Hivemapper |
QKC and Hivemapper Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with QKC and Hivemapper
The main advantage of trading using opposite QKC and Hivemapper positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if QKC position performs unexpectedly, Hivemapper 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 Hivemapper will offset losses from the drop in Hivemapper's long position.The idea behind QKC and Hivemapper 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.| Hivemapper vs. Staked Ether | Hivemapper vs. Phala Network | Hivemapper vs. EigenLayer | Hivemapper vs. EOSDAC |
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 Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.
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