Correlation Between Solana and SwissBorg

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

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

Diversification Opportunities for Solana and SwissBorg

0.84

Correlation Coefficient

Solana  SwissBorg

Very poor diversification

The 3 months correlation between Solana and SwissBorg is 0.84. Overlapping area represents the amount of risk that can be diversified away by holding Solana and SwissBorg in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SwissBorg and Solana 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 Solana are associated (or correlated) with SwissBorg. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SwissBorg has no effect on the direction of Solana i.e., Solana and SwissBorg go up and down completely randomly.

Pair Corralation between Solana and SwissBorg

Assuming the 90 days trading horizon Solana is expected to generate 1.17 times less return on investment than SwissBorg. But when comparing it to its historical volatility, Solana is 1.29 times less risky than SwissBorg. It trades about 0.27 of its potential returns per unit of risk. SwissBorg is currently generating about 0.24 of returns per unit of risk over similar time horizon. If you would invest  15.00  in SwissBorg on September 1, 2024 and sell it today you would earn a total of  16.00  from holding SwissBorg or generate 106.67% return on investment over 90 days.

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

Solana  vs.  SwissBorg

Solana

Risk-Adjusted Performance

20 of 100

Solid

Compared to the overall equity markets, risk-adjusted returns on investments in Solana are ranked lower than 20 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady essential indicators, Solana exhibited solid returns over the last few months and may actually be approaching a breakup point.

SwissBorg

Risk-Adjusted Performance

19 of 100

Solid

Compared to the overall equity markets, risk-adjusted returns on investments in SwissBorg are ranked lower than 19 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady fundamental indicators, SwissBorg exhibited solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with Solana and SwissBorg

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

The idea behind Solana and SwissBorg 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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.