Correlation Between Allison Transmission and BorgWarner

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

Diversification Opportunities for Allison Transmission and BorgWarner

-0.02
  Correlation Coefficient

Good diversification

The 3 months correlation between Allison and BorgWarner is -0.02. Overlapping area represents the amount of risk that can be diversified away by holding Allison Transmission Holdings and BorgWarner in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BorgWarner and Allison Transmission 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 Allison Transmission Holdings are associated (or correlated) with BorgWarner. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BorgWarner has no effect on the direction of Allison Transmission i.e., Allison Transmission and BorgWarner go up and down completely randomly.

Pair Corralation between Allison Transmission and BorgWarner

Given the investment horizon of 90 days Allison Transmission is expected to generate 3.24 times less return on investment than BorgWarner. But when comparing it to its historical volatility, Allison Transmission Holdings is 2.33 times less risky than BorgWarner. It trades about 0.13 of its potential returns per unit of risk. BorgWarner is currently generating about 0.17 of returns per unit of risk over similar time horizon. If you would invest  3,287  in BorgWarner on March 2, 2024 and sell it today you would earn a total of  279.00  from holding BorgWarner or generate 8.49% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthInsignificant
Accuracy100.0%
ValuesDaily Returns

Allison Transmission Holdings  vs.  BorgWarner

 Performance 
       Timeline  
Allison Transmission 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days Allison Transmission Holdings has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of very healthy basic indicators, Allison Transmission is not utilizing all of its potentials. The current stock price disarray, may contribute to short-term losses for the investors.
BorgWarner 

Risk-Adjusted Performance

10 of 100

 
Weak
 
Strong
OK
Compared to the overall equity markets, risk-adjusted returns on investments in BorgWarner are ranked lower than 10 (%) of all global equities and portfolios over the last 90 days. Despite somewhat unfluctuating basic indicators, BorgWarner sustained solid returns over the last few months and may actually be approaching a breakup point.

Allison Transmission and BorgWarner Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Allison Transmission and BorgWarner

The main advantage of trading using opposite Allison Transmission and BorgWarner positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Allison Transmission position performs unexpectedly, BorgWarner 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 BorgWarner will offset losses from the drop in BorgWarner's long position.
The idea behind Allison Transmission Holdings and BorgWarner 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 FinTech Suite module to use AI to screen and filter profitable investment opportunities.

Other Complementary Tools

Portfolio Dashboard
Portfolio dashboard that provides centralized access to all your investments
Portfolio Diagnostics
Use generated alerts and portfolio events aggregator to diagnose current holdings
Crypto Correlations
Use cryptocurrency correlation module to diversify your cryptocurrency portfolio across multiple coins
ETFs
Find actively traded Exchange Traded Funds (ETF) from around the world
Idea Breakdown
Analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes
Portfolio Rebalancing
Analyze risk-adjusted returns against different time horizons to find asset-allocation targets
Money Flow Index
Determine momentum by analyzing Money Flow Index and other technical indicators
Odds Of Bankruptcy
Get analysis of equity chance of financial distress in the next 2 years
Volatility Analysis
Get historical volatility and risk analysis based on latest market data