Correlation Between Ford and Bausch Lomb
Can any of the company-specific risk be diversified away by investing in both Ford and Bausch Lomb 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 Ford and Bausch Lomb into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ford Motor and Bausch Lomb Corp, you can compare the effects of market volatilities on Ford and Bausch Lomb 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 Ford with a short position of Bausch Lomb. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ford and Bausch Lomb.
Diversification Opportunities for Ford and Bausch Lomb
0.25 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Ford and Bausch is 0.25. Overlapping area represents the amount of risk that can be diversified away by holding Ford Motor and Bausch Lomb Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bausch Lomb Corp and Ford 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 Ford Motor are associated (or correlated) with Bausch Lomb. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bausch Lomb Corp has no effect on the direction of Ford i.e., Ford and Bausch Lomb go up and down completely randomly.
Pair Corralation between Ford and Bausch Lomb
Taking into account the 90-day investment horizon Ford is expected to generate 7.57 times less return on investment than Bausch Lomb. But when comparing it to its historical volatility, Ford Motor is 1.32 times less risky than Bausch Lomb. It trades about 0.02 of its potential returns per unit of risk. Bausch Lomb Corp is currently generating about 0.12 of returns per unit of risk over similar time horizon. If you would invest 1,625 in Bausch Lomb Corp on September 3, 2024 and sell it today you would earn a total of 322.00 from holding Bausch Lomb Corp or generate 19.82% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Ford Motor vs. Bausch Lomb Corp
Performance |
Timeline |
Ford Motor |
Bausch Lomb Corp |
Ford and Bausch Lomb Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ford and Bausch Lomb
The main advantage of trading using opposite Ford and Bausch Lomb positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ford position performs unexpectedly, Bausch Lomb 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 Bausch Lomb will offset losses from the drop in Bausch Lomb's long position.Ford vs. GreenPower Motor | Ford vs. ZEEKR Intelligent Technology | Ford vs. Volcon Inc | Ford vs. Ford Motor |
Bausch Lomb vs. The Cooper Companies, | Bausch Lomb vs. ICU Medical | Bausch Lomb vs. Hologic | Bausch Lomb vs. Becton Dickinson and |
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 Top Crypto Exchanges module to search and analyze digital assets across top global cryptocurrency exchanges.
Other Complementary Tools
Volatility Analysis Get historical volatility and risk analysis based on latest market data | |
Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk | |
Piotroski F Score Get Piotroski F Score based on the binary analysis strategy of nine different fundamentals | |
Portfolio Holdings Check your current holdings and cash postion to detemine if your portfolio needs rebalancing | |
Analyst Advice Analyst recommendations and target price estimates broken down by several categories |