Correlation Between Algorand and LOEWS

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Can any of the company-specific risk be diversified away by investing in both Algorand and LOEWS 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 LOEWS into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Algorand and LOEWS P 6, you can compare the effects of market volatilities on Algorand and LOEWS 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 LOEWS. Check out your portfolio center. Please also check ongoing floating volatility patterns of Algorand and LOEWS.

Diversification Opportunities for Algorand and LOEWS

-0.58
  Correlation Coefficient

Excellent diversification

The 3 months correlation between Algorand and LOEWS is -0.58. Overlapping area represents the amount of risk that can be diversified away by holding Algorand and LOEWS P 6 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on LOEWS P 6 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 LOEWS. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of LOEWS P 6 has no effect on the direction of Algorand i.e., Algorand and LOEWS go up and down completely randomly.

Pair Corralation between Algorand and LOEWS

Assuming the 90 days trading horizon Algorand is expected to under-perform the LOEWS. In addition to that, Algorand is 13.55 times more volatile than LOEWS P 6. It trades about -0.02 of its total potential returns per unit of risk. LOEWS P 6 is currently generating about -0.21 per unit of volatility. If you would invest  10,968  in LOEWS P 6 on October 10, 2024 and sell it today you would lose (288.00) from holding LOEWS P 6 or give up 2.63% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthVery Weak
Accuracy95.24%
ValuesDaily Returns

Algorand  vs.  LOEWS P 6

 Performance 
       Timeline  
Algorand 

Risk-Adjusted Performance

18 of 100

 
Weak
 
Strong
Solid
Compared to the overall equity markets, risk-adjusted returns on investments in Algorand are ranked lower than 18 (%) 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.
LOEWS P 6 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days LOEWS P 6 has generated negative risk-adjusted returns adding no value to investors with long positions. Despite somewhat strong basic indicators, LOEWS is not utilizing all of its potentials. The latest stock price disturbance, may contribute to short-term losses for the investors.

Algorand and LOEWS Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Algorand and LOEWS

The main advantage of trading using opposite Algorand and LOEWS positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Algorand position performs unexpectedly, LOEWS 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 LOEWS will offset losses from the drop in LOEWS's long position.
The idea behind Algorand and LOEWS P 6 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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.

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