Correlation Between BITM and DGTX

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

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

Diversification Opportunities for BITM and DGTX

0.38

Correlation Coefficient

BITM  DGTX

Weak diversification

The 3 months correlation between BITM and DGTX is 0.38. Overlapping area represents the amount of risk that can be diversified away by holding BITM and DGTX in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on DGTX and BITM 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 BITM 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 BITM i.e., BITM and DGTX go up and down completely randomly.

Pair Corralation between BITM and DGTX

If you would invest  0.00  in DGTX on February 7, 2024 and sell it today you would earn a total of  0.00  from holding DGTX or generate 77.14% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Very Weak
Accuracy	4.55%
Values	Daily Returns

BITM  vs.  DGTX

BITM

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days BITM has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of rather sound basic indicators, BITM is not utilizing all of its potentials. The latest stock price tumult, may contribute to shorter-term losses for the shareholders.

DGTX

Risk-Adjusted Performance

14 of 100

Good

Compared to the overall equity markets, risk-adjusted returns on investments in DGTX are ranked lower than 14 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady basic indicators, DGTX exhibited solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with BITM and DGTX

The main advantage of trading using opposite BITM and DGTX positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BITM 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 BITM 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.

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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.