Correlation Between Ford and Chlitina Holding
Can any of the company-specific risk be diversified away by investing in both Ford and Chlitina Holding 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 Chlitina Holding into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ford Motor and Chlitina Holding, you can compare the effects of market volatilities on Ford and Chlitina Holding 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 Chlitina Holding. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ford and Chlitina Holding.
Diversification Opportunities for Ford and Chlitina Holding
-0.35 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Ford and Chlitina is -0.35. Overlapping area represents the amount of risk that can be diversified away by holding Ford Motor and Chlitina Holding in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Chlitina Holding 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 Chlitina Holding. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Chlitina Holding has no effect on the direction of Ford i.e., Ford and Chlitina Holding go up and down completely randomly.
Pair Corralation between Ford and Chlitina Holding
Taking into account the 90-day investment horizon Ford Motor is expected to generate 0.9 times more return on investment than Chlitina Holding. However, Ford Motor is 1.11 times less risky than Chlitina Holding. It trades about -0.01 of its potential returns per unit of risk. Chlitina Holding is currently generating about -0.06 per unit of risk. If you would invest 1,066 in Ford Motor on September 16, 2024 and sell it today you would lose (27.00) from holding Ford Motor or give up 2.53% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 98.46% |
Values | Daily Returns |
Ford Motor vs. Chlitina Holding
Performance |
Timeline |
Ford Motor |
Chlitina Holding |
Ford and Chlitina Holding Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ford and Chlitina Holding
The main advantage of trading using opposite Ford and Chlitina Holding positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ford position performs unexpectedly, Chlitina Holding 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 Chlitina Holding will offset losses from the drop in Chlitina Holding's long position.The idea behind Ford Motor and Chlitina Holding 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.Chlitina Holding vs. Standard Foods Corp | Chlitina Holding vs. Uni President Enterprises Corp | Chlitina Holding vs. Great Wall Enterprise | Chlitina Holding vs. Ruentex Development Co |
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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