Correlation Between Ford and Sumitomo
Can any of the company-specific risk be diversified away by investing in both Ford and Sumitomo 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 Sumitomo into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ford Motor and Sumitomo, you can compare the effects of market volatilities on Ford and Sumitomo 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 Sumitomo. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ford and Sumitomo.
Diversification Opportunities for Ford and Sumitomo
Very good diversification
The 3 months correlation between Ford and Sumitomo is -0.39. Overlapping area represents the amount of risk that can be diversified away by holding Ford Motor and Sumitomo in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sumitomo 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 Sumitomo. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sumitomo has no effect on the direction of Ford i.e., Ford and Sumitomo go up and down completely randomly.
Pair Corralation between Ford and Sumitomo
Taking into account the 90-day investment horizon Ford Motor is expected to under-perform the Sumitomo. But the stock apears to be less risky and, when comparing its historical volatility, Ford Motor is 1.6 times less risky than Sumitomo. The stock trades about -0.2 of its potential returns per unit of risk. The Sumitomo is currently generating about 0.17 of returns per unit of risk over similar time horizon. If you would invest 2,016 in Sumitomo on October 7, 2024 and sell it today you would earn a total of 138.00 from holding Sumitomo or generate 6.85% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 85.0% |
Values | Daily Returns |
Ford Motor vs. Sumitomo
Performance |
Timeline |
Ford Motor |
Sumitomo |
Ford and Sumitomo Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ford and Sumitomo
The main advantage of trading using opposite Ford and Sumitomo positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ford position performs unexpectedly, Sumitomo 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 Sumitomo will offset losses from the drop in Sumitomo's long position.The idea behind Ford Motor and Sumitomo 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.Sumitomo vs. Goosehead Insurance | Sumitomo vs. Insurance Australia Group | Sumitomo vs. Safety Insurance Group | Sumitomo vs. INSURANCE AUST GRP |
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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