Correlation Between BorgWarner and Xos

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

Diversification Opportunities for BorgWarner and Xos

0.68
  Correlation Coefficient

Poor diversification

The 3 months correlation between BorgWarner and Xos is 0.68. Overlapping area represents the amount of risk that can be diversified away by holding BorgWarner and Xos Inc in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Xos Inc and BorgWarner 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 BorgWarner are associated (or correlated) with Xos. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Xos Inc has no effect on the direction of BorgWarner i.e., BorgWarner and Xos go up and down completely randomly.

Pair Corralation between BorgWarner and Xos

Considering the 90-day investment horizon BorgWarner is expected to generate 0.31 times more return on investment than Xos. However, BorgWarner is 3.18 times less risky than Xos. It trades about -0.01 of its potential returns per unit of risk. Xos Inc is currently generating about -0.04 per unit of risk. If you would invest  3,812  in BorgWarner on October 4, 2024 and sell it today you would lose (633.00) from holding BorgWarner or give up 16.61% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthSignificant
Accuracy100.0%
ValuesDaily Returns

BorgWarner  vs.  Xos Inc

 Performance 
       Timeline  
BorgWarner 

Risk-Adjusted Performance

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Weak
 
Strong
Very Weak
Over the last 90 days BorgWarner has generated negative risk-adjusted returns adding no value to investors with long positions. Despite latest fragile performance, the Stock's basic indicators remain strong and the current disturbance on Wall Street may also be a sign of long term gains for the company investors.
Xos Inc 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days Xos Inc has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of abnormal performance in the last few months, the Stock's basic indicators remain comparatively stable which may send shares a bit higher in February 2025. The newest uproar may also be a sign of mid-term up-swing for the firm private investors.

BorgWarner and Xos Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with BorgWarner and Xos

The main advantage of trading using opposite BorgWarner and Xos positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BorgWarner position performs unexpectedly, Xos 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 Xos will offset losses from the drop in Xos' long position.
The idea behind BorgWarner and Xos Inc 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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.

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