Correlation Between Algorand and KAISER

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

By analyzing existing cross correlation between Algorand and KAISER FNDTN HOSPS, you can compare the effects of market volatilities on Algorand and KAISER 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 KAISER. Check out your portfolio center. Please also check ongoing floating volatility patterns of Algorand and KAISER.

Diversification Opportunities for Algorand and KAISER

-0.25

Correlation Coefficient

Algorand  KAISER

Very good diversification

The 3 months correlation between Algorand and KAISER is -0.25. Overlapping area represents the amount of risk that can be diversified away by holding Algorand and KAISER FNDTN HOSPS in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on KAISER FNDTN HOSPS 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 KAISER. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of KAISER FNDTN HOSPS has no effect on the direction of Algorand i.e., Algorand and KAISER go up and down completely randomly.

Pair Corralation between Algorand and KAISER

Assuming the 90 days trading horizon Algorand is expected to generate 20.84 times less return on investment than KAISER. But when comparing it to its historical volatility, Algorand is 12.48 times less risky than KAISER. It trades about 0.05 of its potential returns per unit of risk. KAISER FNDTN HOSPS is currently generating about 0.09 of returns per unit of risk over similar time horizon. If you would invest  9,146  in KAISER FNDTN HOSPS on October 10, 2024 and sell it today you would lose (1,103) from holding KAISER FNDTN HOSPS or give up 12.06% of portfolio value over 90 days.

Time Period	3 Months [change]
Direction	Moves Against
Strength	Insignificant
Accuracy	68.19%
Values	Daily Returns

Algorand  vs.  KAISER FNDTN HOSPS

Algorand

Risk-Adjusted Performance

17 of 100

Solid

Compared to the overall equity markets, risk-adjusted returns on investments in Algorand are ranked lower than 17 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady fundamental indicators, Algorand exhibited solid returns over the last few months and may actually be approaching a breakup point.

KAISER FNDTN HOSPS

Risk-Adjusted Performance

2 of 100

Weak

Compared to the overall equity markets, risk-adjusted returns on investments in KAISER FNDTN HOSPS are ranked lower than 2 (%) of all global equities and portfolios over the last 90 days. Despite somewhat strong basic indicators, KAISER is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.

Pair Trading with Algorand and KAISER

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

The idea behind Algorand and KAISER FNDTN HOSPS 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 Portfolio Anywhere module to track or share privately all of your investments from the convenience of any device.