Correlation Between DigiByte and UPP

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

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

Diversification Opportunities for DigiByte and UPP

0.83

Correlation Coefficient

DigiByte  UPP

Very poor diversification

The 3 months correlation between DigiByte and UPP is 0.83. Overlapping area represents the amount of risk that can be diversified away by holding DigiByte and UPP in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on UPP and DigiByte 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 DigiByte are associated (or correlated) with UPP. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of UPP has no effect on the direction of DigiByte i.e., DigiByte and UPP go up and down completely randomly.

Pair Corralation between DigiByte and UPP

Assuming the 90 days trading horizon DigiByte is expected to under-perform the UPP. In addition to that, DigiByte is 1.07 times more volatile than UPP. It trades about -0.2 of its total potential returns per unit of risk. UPP is currently generating about -0.13 per unit of volatility. If you would invest  9.96  in UPP on February 7, 2024 and sell it today you would lose (1.78) from holding UPP or give up 17.87% of portfolio value over 90 days.

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

DigiByte  vs.  UPP

DigiByte

Risk-Adjusted Performance

9 of 100

OK

Compared to the overall equity markets, risk-adjusted returns on investments in DigiByte are ranked lower than 9 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady fundamental drivers, DigiByte exhibited solid returns over the last few months and may actually be approaching a breakup point.

UPP

Risk-Adjusted Performance

4 of 100

Insignificant

Compared to the overall equity markets, risk-adjusted returns on investments in UPP are ranked lower than 4 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady basic indicators, UPP exhibited solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with DigiByte and UPP

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

The idea behind DigiByte and UPP 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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.