Correlation Between Sea and BorgWarner
Can any of the company-specific risk be diversified away by investing in both Sea 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 Sea and BorgWarner into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sea and BorgWarner, you can compare the effects of market volatilities on Sea 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 Sea with a short position of BorgWarner. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sea and BorgWarner.
Diversification Opportunities for Sea and BorgWarner
-0.29 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Sea and BorgWarner is -0.29. Overlapping area represents the amount of risk that can be diversified away by holding Sea and BorgWarner in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BorgWarner and Sea 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 Sea 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 Sea i.e., Sea and BorgWarner go up and down completely randomly.
Pair Corralation between Sea and BorgWarner
Allowing for the 90-day total investment horizon Sea is expected to generate 1.76 times more return on investment than BorgWarner. However, Sea is 1.76 times more volatile than BorgWarner. It trades about 0.06 of its potential returns per unit of risk. BorgWarner is currently generating about 0.0 per unit of risk. If you would invest 5,298 in Sea on September 24, 2024 and sell it today you would earn a total of 5,615 from holding Sea or generate 105.98% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Sea vs. BorgWarner
Performance |
Timeline |
Sea |
BorgWarner |
Sea and BorgWarner Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sea and BorgWarner
The main advantage of trading using opposite Sea and BorgWarner positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sea 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 Sea 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.BorgWarner vs. Ford Motor | BorgWarner vs. General Motors | BorgWarner vs. Goodyear Tire Rubber | BorgWarner vs. Li Auto |
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 Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
Other Complementary Tools
Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk | |
Portfolio Rebalancing Analyze risk-adjusted returns against different time horizons to find asset-allocation targets | |
Stock Screener Find equities using a custom stock filter or screen asymmetry in trading patterns, price, volume, or investment outlook. | |
Pair Correlation Compare performance and examine fundamental relationship between any two equity instruments | |
Portfolio Diagnostics Use generated alerts and portfolio events aggregator to diagnose current holdings |