Correlation Between XRP and Stargate Finance
Can any of the company-specific risk be diversified away by investing in both XRP and Stargate Finance 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 XRP and Stargate Finance into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between XRP and Stargate Finance, you can compare the effects of market volatilities on XRP and Stargate Finance 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 XRP with a short position of Stargate Finance. Check out your portfolio center. Please also check ongoing floating volatility patterns of XRP and Stargate Finance.
Diversification Opportunities for XRP and Stargate Finance
0.7 | Correlation Coefficient |
Poor diversification
The 3 months correlation between XRP and Stargate is 0.7. Overlapping area represents the amount of risk that can be diversified away by holding XRP and Stargate Finance in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Stargate Finance and XRP 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 XRP are associated (or correlated) with Stargate Finance. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Stargate Finance has no effect on the direction of XRP i.e., XRP and Stargate Finance go up and down completely randomly.
Pair Corralation between XRP and Stargate Finance
Assuming the 90 days trading horizon XRP is expected to generate 1.11 times more return on investment than Stargate Finance. However, XRP is 1.11 times more volatile than Stargate Finance. It trades about 0.31 of its potential returns per unit of risk. Stargate Finance is currently generating about 0.13 per unit of risk. If you would invest 56.00 in XRP on September 1, 2024 and sell it today you would earn a total of 124.00 from holding XRP or generate 221.43% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
XRP vs. Stargate Finance
Performance |
Timeline |
XRP |
Stargate Finance |
XRP and Stargate Finance Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with XRP and Stargate Finance
The main advantage of trading using opposite XRP and Stargate Finance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if XRP position performs unexpectedly, Stargate Finance 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 Stargate Finance will offset losses from the drop in Stargate Finance's long position.The idea behind XRP and Stargate Finance 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.Stargate Finance vs. XRP | Stargate Finance vs. Solana | Stargate Finance vs. Staked Ether | Stargate Finance vs. Sui |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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