Correlation Between Solana and MNW
Can any of the company-specific risk be diversified away by investing in both Solana and MNW 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 Solana and MNW into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Solana and MNW, you can compare the effects of market volatilities on Solana and MNW 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 Solana with a short position of MNW. Check out your portfolio center. Please also check ongoing floating volatility patterns of Solana and MNW.
Diversification Opportunities for Solana and MNW
Modest diversification
The 3 months correlation between Solana and MNW is 0.21. Overlapping area represents the amount of risk that can be diversified away by holding Solana and MNW in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on MNW and Solana 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 Solana are associated (or correlated) with MNW. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of MNW has no effect on the direction of Solana i.e., Solana and MNW go up and down completely randomly.
Pair Corralation between Solana and MNW
Assuming the 90 days trading horizon Solana is expected to generate 2.06 times less return on investment than MNW. But when comparing it to its historical volatility, Solana is 2.08 times less risky than MNW. It trades about 0.07 of its potential returns per unit of risk. MNW is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest 79.00 in MNW on August 23, 2024 and sell it today you would lose (46.00) from holding MNW or give up 58.23% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 44.48% |
| Values | Daily Returns |
Solana vs. MNW
Performance |
| Timeline |
| Solana |
| MNW |
Solana and MNW Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Solana and MNW
The main advantage of trading using opposite Solana and MNW positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Solana position performs unexpectedly, MNW 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 MNW will offset losses from the drop in MNW's long position.The idea behind Solana and MNW 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 Center module to all portfolio management and optimization tools to improve performance of your portfolios.
Other Complementary Tools
| AI Portfolio Architect Use AI to generate optimal portfolios and find profitable investment opportunities | |
| Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm | |
| Analyst Advice Analyst recommendations and target price estimates broken down by several categories | |
| Alpha Finder Use alpha and beta coefficients to find investment opportunities after accounting for the risk | |
| Financial Widgets Easily integrated Macroaxis content with over 30 different plug-and-play financial widgets |