Correlation Between Sui and PING
Can any of the company-specific risk be diversified away by investing in both Sui and PING 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 Sui and PING into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sui and PING, you can compare the effects of market volatilities on Sui and PING 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 Sui with a short position of PING. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sui and PING.
Diversification Opportunities for Sui and PING
Weak diversification
The 3 months correlation between Sui and PING is 0.39. Overlapping area represents the amount of risk that can be diversified away by holding Sui and PING in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on PING and Sui 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 Sui are associated (or correlated) with PING. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of PING has no effect on the direction of Sui i.e., Sui and PING go up and down completely randomly.
Pair Corralation between Sui and PING
Assuming the 90 days trading horizon Sui is expected to generate 3.5 times more return on investment than PING. However, Sui is 3.5 times more volatile than PING. It trades about 0.16 of its potential returns per unit of risk. PING is currently generating about 0.02 per unit of risk. If you would invest 106.00 in Sui on August 26, 2024 and sell it today you would earn a total of 250.00 from holding Sui or generate 235.85% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 42.96% |
Values | Daily Returns |
Sui vs. PING
Performance |
Timeline |
Sui |
PING |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
Sui and PING Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sui and PING
The main advantage of trading using opposite Sui and PING positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sui position performs unexpectedly, PING 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 PING will offset losses from the drop in PING's long position.The idea behind Sui and PING 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 Sign In To Macroaxis module to sign in to explore Macroaxis' wealth optimization platform and fintech modules.
Other Complementary Tools
Cryptocurrency Center Build and monitor diversified portfolio of extremely risky digital assets and cryptocurrency | |
Bollinger Bands Use Bollinger Bands indicator to analyze target price for a given investing horizon | |
Idea Analyzer Analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas | |
Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk | |
Price Transformation Use Price Transformation models to analyze the depth of different equity instruments across global markets |