Correlation Between XRP and JCTCF Old

Can any of the company-specific risk be diversified away by investing in both XRP and JCTCF Old 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 JCTCF Old into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between XRP and JCTCF Old, you can compare the effects of market volatilities on XRP and JCTCF Old 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 JCTCF Old. Check out your portfolio center. Please also check ongoing floating volatility patterns of XRP and JCTCF Old.

Diversification Opportunities for XRP and JCTCF Old

0.0

Correlation Coefficient

XRP  JCTCF Old

Pay attention - limited upside

The 3 months correlation between XRP and JCTCF is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding XRP and JCTCF Old in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on JCTCF Old 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 JCTCF Old. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of JCTCF Old has no effect on the direction of XRP i.e., XRP and JCTCF Old go up and down completely randomly.

Pair Corralation between XRP and JCTCF Old

If you would invest  51.00  in XRP on October 25, 2024 and sell it today you would earn a total of  266.00  from holding XRP or generate 521.57% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Flat
Strength	Insignificant
Accuracy	1.59%
Values	Daily Returns

XRP  vs.  JCTCF Old

XRP

Risk-Adjusted Performance

31 of 100

Very Strong

Compared to the overall equity markets, risk-adjusted returns on investments in XRP are ranked lower than 31 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady basic indicators, XRP exhibited solid returns over the last few months and may actually be approaching a breakup point.

JCTCF Old

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days JCTCF Old has generated negative risk-adjusted returns adding no value to investors with long positions. Despite nearly stable fundamental indicators, JCTCF Old is not utilizing all of its potentials. The recent stock price disturbance, may contribute to mid-run losses for the stockholders.

Pair Trading with XRP and JCTCF Old

The main advantage of trading using opposite XRP and JCTCF Old positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if XRP position performs unexpectedly, JCTCF Old 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 JCTCF Old will offset losses from the drop in JCTCF Old's long position.

The idea behind XRP and JCTCF Old 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.

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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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.