Correlation Between Falmaco Nonwoven and Fast Food
Can any of the company-specific risk be diversified away by investing in both Falmaco Nonwoven and Fast Food 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 Falmaco Nonwoven and Fast Food into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Falmaco Nonwoven Industri and Fast Food Indonesia, you can compare the effects of market volatilities on Falmaco Nonwoven and Fast Food 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 Falmaco Nonwoven with a short position of Fast Food. Check out your portfolio center. Please also check ongoing floating volatility patterns of Falmaco Nonwoven and Fast Food.
Diversification Opportunities for Falmaco Nonwoven and Fast Food
-0.51 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Falmaco and Fast is -0.51. Overlapping area represents the amount of risk that can be diversified away by holding Falmaco Nonwoven Industri and Fast Food Indonesia in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Fast Food Indonesia and Falmaco Nonwoven 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 Falmaco Nonwoven Industri are associated (or correlated) with Fast Food. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Fast Food Indonesia has no effect on the direction of Falmaco Nonwoven i.e., Falmaco Nonwoven and Fast Food go up and down completely randomly.
Pair Corralation between Falmaco Nonwoven and Fast Food
Assuming the 90 days trading horizon Falmaco Nonwoven Industri is expected to under-perform the Fast Food. In addition to that, Falmaco Nonwoven is 3.32 times more volatile than Fast Food Indonesia. It trades about -0.13 of its total potential returns per unit of risk. Fast Food Indonesia is currently generating about -0.14 per unit of volatility. If you would invest 33,000 in Fast Food Indonesia on September 15, 2024 and sell it today you would lose (1,800) from holding Fast Food Indonesia or give up 5.45% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Falmaco Nonwoven Industri vs. Fast Food Indonesia
Performance |
Timeline |
Falmaco Nonwoven Industri |
Fast Food Indonesia |
Falmaco Nonwoven and Fast Food Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Falmaco Nonwoven and Fast Food
The main advantage of trading using opposite Falmaco Nonwoven and Fast Food positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Falmaco Nonwoven position performs unexpectedly, Fast Food 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 Fast Food will offset losses from the drop in Fast Food's long position.Falmaco Nonwoven vs. Fast Food Indonesia | Falmaco Nonwoven vs. Diamond Food Indonesia | Falmaco Nonwoven vs. Chandra Asri Petrochemical | Falmaco Nonwoven vs. Garudafood Putra Putri |
Fast Food vs. Pembangunan Graha Lestari | Fast Food vs. Pembangunan Jaya Ancol | Fast Food vs. Hotel Sahid Jaya | Fast Food vs. Mitrabara Adiperdana PT |
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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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