Correlation Between Ford and Real Assets

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

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

Diversification Opportunities for Ford and Real Assets

0.34

Correlation Coefficient

Ford  Real Assets

Weak diversification

The 3 months correlation between Ford and Real is 0.34. Overlapping area represents the amount of risk that can be diversified away by holding Ford Motor and Real Assets Portfolio in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Real Assets Portfolio 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 Real Assets. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Real Assets Portfolio has no effect on the direction of Ford i.e., Ford and Real Assets go up and down completely randomly.

Pair Corralation between Ford and Real Assets

Taking into account the 90-day investment horizon Ford Motor is expected to generate 3.41 times more return on investment than Real Assets. However, Ford is 3.41 times more volatile than Real Assets Portfolio. It trades about 0.01 of its potential returns per unit of risk. Real Assets Portfolio is currently generating about -0.01 per unit of risk. If you would invest  984.00  in Ford Motor on September 20, 2024 and sell it today you would lose (10.00) from holding Ford Motor or give up 1.02% of portfolio value over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Very Weak
Accuracy	99.8%
Values	Daily Returns

Ford Motor  vs.  Real Assets Portfolio

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 latest unfluctuating performance, the Stock's technical and fundamental indicators remain stable and the current disturbance on Wall Street may also be a sign of long-run gains for the company stockholders.

Real Assets Portfolio

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days Real Assets Portfolio has generated negative risk-adjusted returns adding no value to fund investors. In spite of weak performance in the last few months, the Fund's basic indicators remain fairly strong which may send shares a bit higher in January 2025. The current disturbance may also be a sign of long term up-swing for the fund investors.

Pair Trading with Ford and Real Assets

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

The idea behind Ford Motor and Real Assets Portfolio 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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.