Correlation Between Algorand and Hwabao WP

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

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

Diversification Opportunities for Algorand and Hwabao WP

0.02

Correlation Coefficient

Algorand  Hwabao WP

Significant diversification

The 3 months correlation between Algorand and Hwabao is 0.02. Overlapping area represents the amount of risk that can be diversified away by holding Algorand and Hwabao WP CSI in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hwabao WP CSI and Algorand 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 Algorand are associated (or correlated) with Hwabao WP. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hwabao WP CSI has no effect on the direction of Algorand i.e., Algorand and Hwabao WP go up and down completely randomly.

Pair Corralation between Algorand and Hwabao WP

Assuming the 90 days trading horizon Algorand is expected to under-perform the Hwabao WP. In addition to that, Algorand is 3.73 times more volatile than Hwabao WP CSI. It trades about -0.14 of its total potential returns per unit of risk. Hwabao WP CSI is currently generating about -0.08 per unit of volatility. If you would invest  116.00  in Hwabao WP CSI on December 24, 2024 and sell it today you would lose (10.00) from holding Hwabao WP CSI or give up 8.62% of portfolio value over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Insignificant
Accuracy	92.19%
Values	Daily Returns

Algorand  vs.  Hwabao WP CSI

Algorand

Risk-Adjusted Performance

Very Weak

Over the last 90 days Algorand has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of unsteady performance in the last few months, the Crypto's fundamental indicators remain rather sound which may send shares a bit higher in April 2025. The latest tumult may also be a sign of longer-term up-swing for Algorand shareholders.

Hwabao WP CSI

Risk-Adjusted Performance

Very Weak

Over the last 90 days Hwabao WP CSI has generated negative risk-adjusted returns adding no value to investors with long positions. Despite latest weak performance, the Etf's basic indicators remain strong and the current disturbance on Wall Street may also be a sign of long term gains for the ETF investors.

Pair Trading with Algorand and Hwabao WP

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

The idea behind Algorand and Hwabao WP CSI 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 Instant Ratings module to determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance.