Correlation Between ITALIAN WINE and INDOFOOD AGRI
Can any of the company-specific risk be diversified away by investing in both ITALIAN WINE and INDOFOOD AGRI 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 ITALIAN WINE and INDOFOOD AGRI into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between ITALIAN WINE BRANDS and INDOFOOD AGRI RES, you can compare the effects of market volatilities on ITALIAN WINE and INDOFOOD AGRI 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 ITALIAN WINE with a short position of INDOFOOD AGRI. Check out your portfolio center. Please also check ongoing floating volatility patterns of ITALIAN WINE and INDOFOOD AGRI.
Diversification Opportunities for ITALIAN WINE and INDOFOOD AGRI
0.56 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between ITALIAN and INDOFOOD is 0.56. Overlapping area represents the amount of risk that can be diversified away by holding ITALIAN WINE BRANDS and INDOFOOD AGRI RES in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on INDOFOOD AGRI RES and ITALIAN WINE 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 ITALIAN WINE BRANDS are associated (or correlated) with INDOFOOD AGRI. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of INDOFOOD AGRI RES has no effect on the direction of ITALIAN WINE i.e., ITALIAN WINE and INDOFOOD AGRI go up and down completely randomly.
Pair Corralation between ITALIAN WINE and INDOFOOD AGRI
Assuming the 90 days horizon ITALIAN WINE BRANDS is expected to generate 1.24 times more return on investment than INDOFOOD AGRI. However, ITALIAN WINE is 1.24 times more volatile than INDOFOOD AGRI RES. It trades about 0.05 of its potential returns per unit of risk. INDOFOOD AGRI RES is currently generating about 0.04 per unit of risk. If you would invest 2,060 in ITALIAN WINE BRANDS on September 2, 2024 and sell it today you would earn a total of 150.00 from holding ITALIAN WINE BRANDS or generate 7.28% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
ITALIAN WINE BRANDS vs. INDOFOOD AGRI RES
Performance |
Timeline |
ITALIAN WINE BRANDS |
INDOFOOD AGRI RES |
ITALIAN WINE and INDOFOOD AGRI Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with ITALIAN WINE and INDOFOOD AGRI
The main advantage of trading using opposite ITALIAN WINE and INDOFOOD AGRI positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if ITALIAN WINE position performs unexpectedly, INDOFOOD AGRI 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 INDOFOOD AGRI will offset losses from the drop in INDOFOOD AGRI's long position.ITALIAN WINE vs. Superior Plus Corp | ITALIAN WINE vs. NMI Holdings | ITALIAN WINE vs. Origin Agritech | ITALIAN WINE vs. SIVERS SEMICONDUCTORS AB |
INDOFOOD AGRI vs. SIVERS SEMICONDUCTORS AB | INDOFOOD AGRI vs. Darden Restaurants | INDOFOOD AGRI vs. Reliance Steel Aluminum | INDOFOOD AGRI vs. Q2M Managementberatung AG |
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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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