Correlation Between Ford and Dws Equity

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

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

Diversification Opportunities for Ford and Dws Equity

0.12

Correlation Coefficient

Ford  Dws Equity

Average diversification

The 3 months correlation between Ford and Dws is 0.12. Overlapping area represents the amount of risk that can be diversified away by holding Ford Motor and Dws Equity Sector in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dws Equity Sector 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 Dws Equity. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dws Equity Sector has no effect on the direction of Ford i.e., Ford and Dws Equity go up and down completely randomly.

Pair Corralation between Ford and Dws Equity

Taking into account the 90-day investment horizon Ford is expected to generate 1.05 times less return on investment than Dws Equity. In addition to that, Ford is 2.91 times more volatile than Dws Equity Sector. It trades about 0.04 of its total potential returns per unit of risk. Dws Equity Sector is currently generating about 0.12 per unit of volatility. If you would invest  1,817  in Dws Equity Sector on December 3, 2024 and sell it today you would earn a total of  56.00  from holding Dws Equity Sector or generate 3.08% 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.  Dws Equity Sector

Ford Motor

Risk-Adjusted Performance

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.

Dws Equity Sector

Risk-Adjusted Performance

Very Weak

Over the last 90 days Dws Equity Sector has generated negative risk-adjusted returns adding no value to fund investors. In spite of fairly strong basic indicators, Dws Equity is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.

Pair Trading with Ford and Dws Equity

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

The idea behind Ford Motor and Dws Equity Sector 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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.