Correlation Between Ford and NYSE Declining

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

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

Diversification Opportunities for Ford and NYSE Declining

-0.29

Correlation Coefficient

Ford  NYSE Declining

Very good diversification

The 3 months correlation between Ford and NYSE is -0.29. Overlapping area represents the amount of risk that can be diversified away by holding Ford Motor and NYSE Declining Volume in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on NYSE Declining Volume 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 NYSE Declining. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of NYSE Declining Volume has no effect on the direction of Ford i.e., Ford and NYSE Declining go up and down completely randomly.

Pair Corralation between Ford and NYSE Declining

Taking into account the 90-day investment horizon Ford Motor is expected to under-perform the NYSE Declining. But the stock apears to be less risky and, when comparing its historical volatility, Ford Motor is 28.33 times less risky than NYSE Declining. The stock trades about -0.23 of its potential returns per unit of risk. The NYSE Declining Volume is currently generating about 0.21 of returns per unit of risk over similar time horizon. If you would invest  63,358  in NYSE Declining Volume on September 22, 2024 and sell it today you would earn a total of  31,130  from holding NYSE Declining Volume or generate 49.13% return on investment over 90 days.

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

Ford Motor  vs.  NYSE Declining Volume

Pair Trading with Ford and NYSE Declining

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

The idea behind Ford Motor and NYSE Declining Volume 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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.