Correlation Between Quant and SOLVE
Can any of the company-specific risk be diversified away by investing in both Quant and SOLVE 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 Quant and SOLVE into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Quant and SOLVE, you can compare the effects of market volatilities on Quant and SOLVE 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 Quant with a short position of SOLVE. Check out your portfolio center. Please also check ongoing floating volatility patterns of Quant and SOLVE.
Diversification Opportunities for Quant and SOLVE
Very poor diversification
The 3 months correlation between Quant and SOLVE is 0.81. Overlapping area represents the amount of risk that can be diversified away by holding Quant and SOLVE in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SOLVE and Quant 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 Quant are associated (or correlated) with SOLVE. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SOLVE has no effect on the direction of Quant i.e., Quant and SOLVE go up and down completely randomly.
Pair Corralation between Quant and SOLVE
Assuming the 90 days trading horizon Quant is expected to under-perform the SOLVE. But the crypto coin apears to be less risky and, when comparing its historical volatility, Quant is 1.15 times less risky than SOLVE. The crypto coin trades about -0.23 of its potential returns per unit of risk. The SOLVE is currently generating about -0.18 of returns per unit of risk over similar time horizon. If you would invest 2.59 in SOLVE on January 25, 2024 and sell it today you would lose (0.53) from holding SOLVE or give up 20.46% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
Quant vs. SOLVE
Performance |
| Timeline |
| Quant |
| SOLVE |
Quant and SOLVE Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Quant and SOLVE
The main advantage of trading using opposite Quant and SOLVE positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Quant position performs unexpectedly, SOLVE 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 SOLVE will offset losses from the drop in SOLVE's long position.The idea behind Quant and SOLVE 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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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