Correlation Between Ford and Gold Ent
Can any of the company-specific risk be diversified away by investing in both Ford and Gold Ent 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 Gold Ent into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ford Motor and Gold Ent Group, you can compare the effects of market volatilities on Ford and Gold Ent 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 Gold Ent. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ford and Gold Ent.
Diversification Opportunities for Ford and Gold Ent
Good diversification
The 3 months correlation between Ford and Gold is -0.06. Overlapping area represents the amount of risk that can be diversified away by holding Ford Motor and Gold Ent Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Gold Ent Group 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 Gold Ent. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Gold Ent Group has no effect on the direction of Ford i.e., Ford and Gold Ent go up and down completely randomly.
Pair Corralation between Ford and Gold Ent
Taking into account the 90-day investment horizon Ford is expected to generate 199.04 times less return on investment than Gold Ent. But when comparing it to its historical volatility, Ford Motor is 19.87 times less risky than Gold Ent. It trades about 0.02 of its potential returns per unit of risk. Gold Ent Group is currently generating about 0.16 of returns per unit of risk over similar time horizon. If you would invest 0.02 in Gold Ent Group on September 12, 2024 and sell it today you would earn a total of 0.00 from holding Gold Ent Group or generate 0.0% 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. Gold Ent Group
Performance |
Timeline |
Ford Motor |
Gold Ent Group |
Ford and Gold Ent Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ford and Gold Ent
The main advantage of trading using opposite Ford and Gold Ent positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ford position performs unexpectedly, Gold Ent 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 Gold Ent will offset losses from the drop in Gold Ent's long position.The idea behind Ford Motor and Gold Ent Group 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.Gold Ent vs. Atlas Technology Grp | Gold Ent vs. Absolute Health and | Gold Ent vs. Alpha Wastewater | Gold Ent vs. Supurva Healthcare Group |
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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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