Correlation Between Kusama and Hivemapper
Can any of the company-specific risk be diversified away by investing in both Kusama 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 Kusama and Hivemapper into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Kusama and Hivemapper, you can compare the effects of market volatilities on Kusama 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 Kusama with a short position of Hivemapper. Check out your portfolio center. Please also check ongoing floating volatility patterns of Kusama and Hivemapper.
Diversification Opportunities for Kusama and Hivemapper
0.37 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Kusama and Hivemapper is 0.37. Overlapping area represents the amount of risk that can be diversified away by holding Kusama and Hivemapper in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hivemapper and Kusama 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 Kusama 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 Kusama i.e., Kusama and Hivemapper go up and down completely randomly.
Pair Corralation between Kusama and Hivemapper
Assuming the 90 days trading horizon Kusama is expected to generate 4.41 times less return on investment than Hivemapper. But when comparing it to its historical volatility, Kusama is 4.97 times less risky than Hivemapper. It trades about 0.05 of its potential returns per unit of risk. Hivemapper is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest 0.00 in Hivemapper on September 4, 2024 and sell it today you would earn a total of 8.79 from holding Hivemapper or generate 9.223372036854776E16% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 58.17% |
| Values | Daily Returns |
Kusama vs. Hivemapper
Performance |
| Timeline |
| Kusama |
| Hivemapper |
Kusama and Hivemapper Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Kusama and Hivemapper
The main advantage of trading using opposite Kusama and Hivemapper positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kusama 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 Kusama 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.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 Portfolio Analyzer module to portfolio analysis module that provides access to portfolio diagnostics and optimization engine.
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