Correlation Between Ford and Log In

Can any of the company-specific risk be diversified away by investing in both Ford and Log In 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 Log In into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between Ford Motor and Log In Logstica Intermodal, you can compare the effects of market volatilities on Ford and Log In 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 Log In. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ford and Log In.

Diversification Opportunities for Ford and Log In

-0.3

Correlation Coefficient

Ford  Log In

Very good diversification

The 3 months correlation between Ford and Log is -0.3. Overlapping area represents the amount of risk that can be diversified away by holding Ford Motor and Log In Logstica Intermodal in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Log In Logstica 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 Log In. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Log In Logstica has no effect on the direction of Ford i.e., Ford and Log In go up and down completely randomly.

Pair Corralation between Ford and Log In

Taking into account the 90-day investment horizon Ford Motor is expected to generate 0.83 times more return on investment than Log In. However, Ford Motor is 1.2 times less risky than Log In. It trades about -0.23 of its potential returns per unit of risk. Log In Logstica Intermodal is currently generating about -0.35 per unit of risk. If you would invest  1,121  in Ford Motor on September 17, 2024 and sell it today you would lose (82.00) from holding Ford Motor or give up 7.31% of portfolio value over 90 days.

Time Period	3 Months [change]
Direction	Moves Against
Strength	Insignificant
Accuracy	100.0%
Values	Daily Returns

Ford Motor  vs.  Log In Logstica Intermodal

Ford Motor

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days Ford Motor has generated negative risk-adjusted returns adding no value to investors with long positions. Despite nearly stable technical and fundamental indicators, Ford is not utilizing all of its potentials. The recent stock price disturbance, may contribute to mid-run losses for the stockholders.

Log In Logstica

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days Log In Logstica Intermodal has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of uncertain performance in the last few months, the Stock's basic indicators remain comparatively stable which may send shares a bit higher in January 2025. The newest uproar may also be a sign of mid-term up-swing for the firm private investors.

Pair Trading with Ford and Log In

The main advantage of trading using opposite Ford and Log In positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ford position performs unexpectedly, Log In 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 Log In will offset losses from the drop in Log In's long position.

The idea behind Ford Motor and Log In Logstica Intermodal 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.

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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 Bond Analysis module to evaluate and analyze corporate bonds as a potential investment for your portfolios..