Correlation Between Kusama and Kamino
Can any of the company-specific risk be diversified away by investing in both Kusama and Kamino 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 Kamino into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Kusama and Kamino, you can compare the effects of market volatilities on Kusama and Kamino 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 Kamino. Check out your portfolio center. Please also check ongoing floating volatility patterns of Kusama and Kamino.
Diversification Opportunities for Kusama and Kamino
Very good diversification
The 3 months correlation between Kusama and Kamino is -0.28. Overlapping area represents the amount of risk that can be diversified away by holding Kusama and Kamino in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Kamino 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 Kamino. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Kamino has no effect on the direction of Kusama i.e., Kusama and Kamino go up and down completely randomly.
Pair Corralation between Kusama and Kamino
Assuming the 90 days trading horizon Kusama is expected to generate 98.05 times less return on investment than Kamino. But when comparing it to its historical volatility, Kusama is 11.98 times less risky than Kamino. It trades about 0.01 of its potential returns per unit of risk. Kamino is currently generating about 0.06 of returns per unit of risk over similar time horizon. If you would invest 0.00 in Kamino on August 25, 2024 and sell it today you would earn a total of 14.00 from holding Kamino or generate 9.223372036854776E16% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 58.25% |
| Values | Daily Returns |
Kusama vs. Kamino
Performance |
| Timeline |
| Kusama |
| Kamino |
Kusama and Kamino Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Kusama and Kamino
The main advantage of trading using opposite Kusama and Kamino positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kusama position performs unexpectedly, Kamino 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 Kamino will offset losses from the drop in Kamino's long position.The idea behind Kusama and Kamino 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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
Other Complementary Tools
| Portfolio Center All portfolio management and optimization tools to improve performance of your portfolios | |
| ETF Categories List of ETF categories grouped based on various criteria, such as the investment strategy or type of investments | |
| Fundamental Analysis View fundamental data based on most recent published financial statements | |
| Portfolio Analyzer Portfolio analysis module that provides access to portfolio diagnostics and optimization engine | |
| My Watchlist Analysis Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like |