Correlation Between XMX and DGTX

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

By analyzing existing cross correlation between XMX and DGTX, you can compare the effects of market volatilities on XMX and DGTX 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 XMX with a short position of DGTX. Check out your portfolio center. Please also check ongoing floating volatility patterns of XMX and DGTX.

Diversification Opportunities for XMX and DGTX

0.63

Correlation Coefficient

XMX  DGTX

Poor diversification

The 3 months correlation between XMX and DGTX is 0.63. Overlapping area represents the amount of risk that can be diversified away by holding XMX and DGTX in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on DGTX and XMX 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 XMX are associated (or correlated) with DGTX. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of DGTX has no effect on the direction of XMX i.e., XMX and DGTX go up and down completely randomly.

Pair Corralation between XMX and DGTX

Assuming the 90 days trading horizon XMX is expected to generate 0.77 times more return on investment than DGTX. However, XMX is 1.3 times less risky than DGTX. It trades about 0.08 of its potential returns per unit of risk. DGTX is currently generating about 0.01 per unit of risk. If you would invest  0.00  in XMX on September 1, 2024 and sell it today you would earn a total of  0.00  from holding XMX or generate 20.0% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Significant
Accuracy	100.0%
Values	Daily Returns

XMX  vs.  DGTX

XMX

Risk-Adjusted Performance

6 of 100

Modest

Compared to the overall equity markets, risk-adjusted returns on investments in XMX are ranked lower than 6 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady basic indicators, XMX exhibited solid returns over the last few months and may actually be approaching a breakup point.

DGTX

Risk-Adjusted Performance

1 of 100

Weak

Compared to the overall equity markets, risk-adjusted returns on investments in DGTX are ranked lower than 1 (%) of all global equities and portfolios over the last 90 days. In spite of rather sound fundamental indicators, DGTX is not utilizing all of its potentials. The latest stock price tumult, may contribute to shorter-term losses for the shareholders.

Pair Trading with XMX and DGTX

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

The idea behind XMX and DGTX 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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.