Correlation Between XRP and Federal Natl
Can any of the company-specific risk be diversified away by investing in both XRP and Federal Natl 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 Federal Natl into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between XRP and Federal Natl Mtg, you can compare the effects of market volatilities on XRP and Federal Natl 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 Federal Natl. Check out your portfolio center. Please also check ongoing floating volatility patterns of XRP and Federal Natl.
Diversification Opportunities for XRP and Federal Natl
0.87 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between XRP and Federal is 0.87. Overlapping area represents the amount of risk that can be diversified away by holding XRP and Federal Natl Mtg in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Federal Natl Mtg 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 Federal Natl. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Federal Natl Mtg has no effect on the direction of XRP i.e., XRP and Federal Natl go up and down completely randomly.
Pair Corralation between XRP and Federal Natl
Assuming the 90 days trading horizon XRP is expected to generate 1.29 times more return on investment than Federal Natl. However, XRP is 1.29 times more volatile than Federal Natl Mtg. It trades about 0.11 of its potential returns per unit of risk. Federal Natl Mtg is currently generating about 0.09 per unit of risk. If you would invest 40.00 in XRP on October 11, 2024 and sell it today you would earn a total of 187.00 from holding XRP or generate 467.5% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 59.96% |
Values | Daily Returns |
XRP vs. Federal Natl Mtg
Performance |
Timeline |
XRP |
Federal Natl Mtg |
XRP and Federal Natl Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with XRP and Federal Natl
The main advantage of trading using opposite XRP and Federal Natl positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if XRP position performs unexpectedly, Federal Natl 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 Federal Natl will offset losses from the drop in Federal Natl's long position.The idea behind XRP and Federal Natl Mtg 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.Federal Natl vs. Federal National Mortgage | Federal Natl vs. Federal Home Loan | Federal Natl vs. Federal National Mortgage | Federal Natl vs. Federal National Mortgage |
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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