Correlation Between Algorand and Hamilton MidSmall

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Can any of the company-specific risk be diversified away by investing in both Algorand and Hamilton MidSmall 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 Hamilton MidSmall into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Algorand and Hamilton MidSmall Cap Financials, you can compare the effects of market volatilities on Algorand and Hamilton MidSmall 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 Hamilton MidSmall. Check out your portfolio center. Please also check ongoing floating volatility patterns of Algorand and Hamilton MidSmall.

Diversification Opportunities for Algorand and Hamilton MidSmall

0.34
  Correlation Coefficient

Weak diversification

The 3 months correlation between Algorand and Hamilton is 0.34. Overlapping area represents the amount of risk that can be diversified away by holding Algorand and Hamilton MidSmall Cap Financia in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hamilton MidSmall Cap 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 Hamilton MidSmall. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hamilton MidSmall Cap has no effect on the direction of Algorand i.e., Algorand and Hamilton MidSmall go up and down completely randomly.

Pair Corralation between Algorand and Hamilton MidSmall

Assuming the 90 days trading horizon Algorand is expected to under-perform the Hamilton MidSmall. In addition to that, Algorand is 5.32 times more volatile than Hamilton MidSmall Cap Financials. It trades about -0.15 of its total potential returns per unit of risk. Hamilton MidSmall Cap Financials is currently generating about -0.03 per unit of volatility. If you would invest  3,564  in Hamilton MidSmall Cap Financials on December 23, 2024 and sell it today you would lose (90.00) from holding Hamilton MidSmall Cap Financials or give up 2.53% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthVery Weak
Accuracy93.85%
ValuesDaily Returns

Algorand  vs.  Hamilton MidSmall Cap Financia

 Performance 
       Timeline  
Algorand 

Risk-Adjusted Performance

Very Weak

 
Weak
 
Strong
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.
Hamilton MidSmall Cap 

Risk-Adjusted Performance

Very Weak

 
Weak
 
Strong
Over the last 90 days Hamilton MidSmall Cap Financials has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of comparatively stable basic indicators, Hamilton MidSmall is not utilizing all of its potentials. The recent stock price uproar, may contribute to short-horizon losses for the private investors.

Algorand and Hamilton MidSmall Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Algorand and Hamilton MidSmall

The main advantage of trading using opposite Algorand and Hamilton MidSmall positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Algorand position performs unexpectedly, Hamilton MidSmall 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 Hamilton MidSmall will offset losses from the drop in Hamilton MidSmall's long position.
The idea behind Algorand and Hamilton MidSmall Cap Financials 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 Global Correlations module to find global opportunities by holding instruments from different markets.

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