Correlation Between Qtum and Gatechain Token
Can any of the company-specific risk be diversified away by investing in both Qtum and Gatechain Token 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 Qtum and Gatechain Token into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Qtum and Gatechain Token, you can compare the effects of market volatilities on Qtum and Gatechain Token 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 Qtum with a short position of Gatechain Token. Check out your portfolio center. Please also check ongoing floating volatility patterns of Qtum and Gatechain Token.
Diversification Opportunities for Qtum and Gatechain Token
0.69 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Qtum and Gatechain is 0.69. Overlapping area represents the amount of risk that can be diversified away by holding Qtum and Gatechain Token in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Gatechain Token and Qtum 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 Qtum are associated (or correlated) with Gatechain Token. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Gatechain Token has no effect on the direction of Qtum i.e., Qtum and Gatechain Token go up and down completely randomly.
Pair Corralation between Qtum and Gatechain Token
Assuming the 90 days trading horizon Qtum is expected to generate 1.29 times more return on investment than Gatechain Token. However, Qtum is 1.29 times more volatile than Gatechain Token. It trades about -0.04 of its potential returns per unit of risk. Gatechain Token is currently generating about -0.1 per unit of risk. If you would invest 476.00 in Qtum on January 25, 2024 and sell it today you would lose (52.00) from holding Qtum or give up 10.92% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Qtum vs. Gatechain Token
Performance |
| Timeline |
| Qtum |
| Gatechain Token |
Qtum and Gatechain Token Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Qtum and Gatechain Token
The main advantage of trading using opposite Qtum and Gatechain Token positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Qtum position performs unexpectedly, Gatechain Token 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 Gatechain Token will offset losses from the drop in Gatechain Token's long position.The idea behind Qtum and Gatechain Token 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.| Gatechain Token vs. Solana | Gatechain Token vs. XRP | Gatechain Token vs. Staked Ether | Gatechain Token vs. The Open Network |
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 Money Flow Index module to determine momentum by analyzing Money Flow Index and other technical indicators.
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