Correlation Between Ford and OBIC CoLtd
Can any of the company-specific risk be diversified away by investing in both Ford and OBIC CoLtd 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 OBIC CoLtd into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ford Motor and OBIC CoLtd, you can compare the effects of market volatilities on Ford and OBIC CoLtd 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 OBIC CoLtd. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ford and OBIC CoLtd.
Diversification Opportunities for Ford and OBIC CoLtd
0.13 | Correlation Coefficient |
Average diversification
The 3 months correlation between Ford and OBIC is 0.13. Overlapping area represents the amount of risk that can be diversified away by holding Ford Motor and OBIC CoLtd in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on OBIC CoLtd 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 OBIC CoLtd. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of OBIC CoLtd has no effect on the direction of Ford i.e., Ford and OBIC CoLtd go up and down completely randomly.
Pair Corralation between Ford and OBIC CoLtd
Taking into account the 90-day investment horizon Ford Motor is expected to generate 1.37 times more return on investment than OBIC CoLtd. However, Ford is 1.37 times more volatile than OBIC CoLtd. It trades about 0.06 of its potential returns per unit of risk. OBIC CoLtd is currently generating about -0.11 per unit of risk. If you would invest 943.00 in Ford Motor on December 19, 2024 and sell it today you would earn a total of 52.00 from holding Ford Motor or generate 5.51% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Ford Motor vs. OBIC CoLtd
Performance |
Timeline |
Ford Motor |
OBIC CoLtd |
Ford and OBIC CoLtd Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ford and OBIC CoLtd
The main advantage of trading using opposite Ford and OBIC CoLtd positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ford position performs unexpectedly, OBIC CoLtd 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 OBIC CoLtd will offset losses from the drop in OBIC CoLtd's long position.The idea behind Ford Motor and OBIC CoLtd 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.OBIC CoLtd vs. Intuit Inc | OBIC CoLtd vs. Palo Alto Networks | OBIC CoLtd vs. Cadence Design Systems | OBIC CoLtd vs. Dassault Systmes SE |
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 Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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