Correlation Between Smith AO and Graham

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

Diversification Opportunities for Smith AO and Graham

0.45
  Correlation Coefficient

Very weak diversification

The 3 months correlation between Smith and Graham is 0.45. Overlapping area represents the amount of risk that can be diversified away by holding Smith AO and Graham in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Graham and Smith AO 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 Smith AO are associated (or correlated) with Graham. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Graham has no effect on the direction of Smith AO i.e., Smith AO and Graham go up and down completely randomly.

Pair Corralation between Smith AO and Graham

Considering the 90-day investment horizon Smith AO is expected to generate 0.35 times more return on investment than Graham. However, Smith AO is 2.84 times less risky than Graham. It trades about -0.01 of its potential returns per unit of risk. Graham is currently generating about -0.13 per unit of risk. If you would invest  6,808  in Smith AO on December 27, 2024 and sell it today you would lose (73.00) from holding Smith AO or give up 1.07% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthWeak
Accuracy100.0%
ValuesDaily Returns

Smith AO  vs.  Graham

 Performance 
       Timeline  
Smith AO 

Risk-Adjusted Performance

Very Weak

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

Risk-Adjusted Performance

Very Weak

 
Weak
 
Strong
Over the last 90 days Graham 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 indicators remain very healthy which may send shares a bit higher in April 2025. The recent disarray may also be a sign of long period up-swing for the firm investors.

Smith AO and Graham Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Smith AO and Graham

The main advantage of trading using opposite Smith AO and Graham positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Smith AO position performs unexpectedly, Graham 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 Graham will offset losses from the drop in Graham's long position.
The idea behind Smith AO and Graham 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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.

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