Correlation Between Ford and Satyamitra Kemas
Can any of the company-specific risk be diversified away by investing in both Ford and Satyamitra Kemas 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 Satyamitra Kemas into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ford Motor and Satyamitra Kemas Lestari, you can compare the effects of market volatilities on Ford and Satyamitra Kemas 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 Satyamitra Kemas. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ford and Satyamitra Kemas.
Diversification Opportunities for Ford and Satyamitra Kemas
-0.12 | Correlation Coefficient |
Good diversification
The 3 months correlation between Ford and Satyamitra is -0.12. Overlapping area represents the amount of risk that can be diversified away by holding Ford Motor and Satyamitra Kemas Lestari in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Satyamitra Kemas Lestari 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 Satyamitra Kemas. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Satyamitra Kemas Lestari has no effect on the direction of Ford i.e., Ford and Satyamitra Kemas go up and down completely randomly.
Pair Corralation between Ford and Satyamitra Kemas
Taking into account the 90-day investment horizon Ford Motor is expected to generate 1.53 times more return on investment than Satyamitra Kemas. However, Ford is 1.53 times more volatile than Satyamitra Kemas Lestari. It trades about -0.05 of its potential returns per unit of risk. Satyamitra Kemas Lestari is currently generating about -0.2 per unit of risk. If you would invest 1,077 in Ford Motor on September 19, 2024 and sell it today you would lose (78.00) from holding Ford Motor or give up 7.24% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 98.44% |
Values | Daily Returns |
Ford Motor vs. Satyamitra Kemas Lestari
Performance |
Timeline |
Ford Motor |
Satyamitra Kemas Lestari |
Ford and Satyamitra Kemas Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ford and Satyamitra Kemas
The main advantage of trading using opposite Ford and Satyamitra Kemas positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ford position performs unexpectedly, Satyamitra Kemas 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 Satyamitra Kemas will offset losses from the drop in Satyamitra Kemas' long position.The idea behind Ford Motor and Satyamitra Kemas Lestari 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.Satyamitra Kemas vs. Lotte Chemical Titan | Satyamitra Kemas vs. Agro Yasa Lestari | Satyamitra Kemas vs. Era Mandiri Cemerlang | Satyamitra Kemas vs. Jasnita Telekomindo Tbk |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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