Correlation Between Intel and Big Lots

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

Diversification Opportunities for Intel and Big Lots

-0.83
  Correlation Coefficient

Pay attention - limited upside

The 3 months correlation between Intel and Big is -0.83. Overlapping area represents the amount of risk that can be diversified away by holding Intel and Big Lots in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Big Lots and Intel 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 Intel are associated (or correlated) with Big Lots. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Big Lots has no effect on the direction of Intel i.e., Intel and Big Lots go up and down completely randomly.

Pair Corralation between Intel and Big Lots

Given the investment horizon of 90 days Intel is expected to generate 0.36 times more return on investment than Big Lots. However, Intel is 2.81 times less risky than Big Lots. It trades about 0.0 of its potential returns per unit of risk. Big Lots is currently generating about -0.1 per unit of risk. If you would invest  2,826  in Intel on August 31, 2024 and sell it today you would lose (421.00) from holding Intel or give up 14.9% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthSignificant
Accuracy89.75%
ValuesDaily Returns

Intel  vs.  Big Lots

 Performance 
       Timeline  
Intel 

Risk-Adjusted Performance

9 of 100

 
Weak
 
Strong
OK
Compared to the overall equity markets, risk-adjusted returns on investments in Intel are ranked lower than 9 (%) of all global equities and portfolios over the last 90 days. In spite of rather inconsistent basic indicators, Intel exhibited solid returns over the last few months and may actually be approaching a breakup point.
Big Lots 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days Big Lots has generated negative risk-adjusted returns adding no value to investors with long positions. Despite sluggish performance in the last few months, the Stock's forward indicators remain nearly stable which may send shares a bit higher in December 2024. The current disturbance may also be a sign of long-run up-swing for the company stockholders.

Intel and Big Lots Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Intel and Big Lots

The main advantage of trading using opposite Intel and Big Lots positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Intel position performs unexpectedly, Big Lots 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 Big Lots will offset losses from the drop in Big Lots' long position.
The idea behind Intel and Big Lots 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 Portfolio Manager module to state of the art Portfolio Manager to monitor and improve performance of your invested capital.

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