Correlation Between Active Health and Puget Technologies

Specify exactly 2 symbols:
Can any of the company-specific risk be diversified away by investing in both Active Health and Puget Technologies 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 Active Health and Puget Technologies into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Active Health Foods and Puget Technologies, you can compare the effects of market volatilities on Active Health and Puget Technologies 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 Active Health with a short position of Puget Technologies. Check out your portfolio center. Please also check ongoing floating volatility patterns of Active Health and Puget Technologies.

Diversification Opportunities for Active Health and Puget Technologies

0.05
  Correlation Coefficient

Significant diversification

The 3 months correlation between Active and Puget is 0.05. Overlapping area represents the amount of risk that can be diversified away by holding Active Health Foods and Puget Technologies in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Puget Technologies and Active Health 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 Active Health Foods are associated (or correlated) with Puget Technologies. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Puget Technologies has no effect on the direction of Active Health i.e., Active Health and Puget Technologies go up and down completely randomly.

Pair Corralation between Active Health and Puget Technologies

Given the investment horizon of 90 days Active Health Foods is expected to under-perform the Puget Technologies. But the pink sheet apears to be less risky and, when comparing its historical volatility, Active Health Foods is 8.44 times less risky than Puget Technologies. The pink sheet trades about -0.18 of its potential returns per unit of risk. The Puget Technologies is currently generating about 0.11 of returns per unit of risk over similar time horizon. If you would invest  0.01  in Puget Technologies on September 18, 2024 and sell it today you would earn a total of  0.00  from holding Puget Technologies or generate 0.0% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthInsignificant
Accuracy100.0%
ValuesDaily Returns

Active Health Foods  vs.  Puget Technologies

 Performance 
       Timeline  
Active Health Foods 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days Active Health Foods has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of weak performance in the last few months, the Stock's technical and fundamental indicators remain rather sound which may send shares a bit higher in January 2025. The latest tumult may also be a sign of longer-term up-swing for the firm shareholders.
Puget Technologies 

Risk-Adjusted Performance

8 of 100

 
Weak
 
Strong
OK
Compared to the overall equity markets, risk-adjusted returns on investments in Puget Technologies are ranked lower than 8 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady technical and fundamental indicators, Puget Technologies exhibited solid returns over the last few months and may actually be approaching a breakup point.

Active Health and Puget Technologies Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Active Health and Puget Technologies

The main advantage of trading using opposite Active Health and Puget Technologies positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Active Health position performs unexpectedly, Puget Technologies 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 Puget Technologies will offset losses from the drop in Puget Technologies' long position.
The idea behind Active Health Foods and Puget Technologies 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 Positions Ratings module to determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance.

Other Complementary Tools

Bonds Directory
Find actively traded corporate debentures issued by US companies
Alpha Finder
Use alpha and beta coefficients to find investment opportunities after accounting for the risk
Fundamentals Comparison
Compare fundamentals across multiple equities to find investing opportunities
Investing Opportunities
Build portfolios using our predefined set of ideas and optimize them against your investing preferences
Watchlist Optimization
Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm