Correlation Between Retailing Fund and Consumer Products
Can any of the company-specific risk be diversified away by investing in both Retailing Fund and Consumer Products 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 Retailing Fund and Consumer Products into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Retailing Fund Investor and Consumer Products Fund, you can compare the effects of market volatilities on Retailing Fund and Consumer Products 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 Retailing Fund with a short position of Consumer Products. Check out your portfolio center. Please also check ongoing floating volatility patterns of Retailing Fund and Consumer Products.
Diversification Opportunities for Retailing Fund and Consumer Products
-0.2 | Correlation Coefficient |
Good diversification
The 3 months correlation between Retailing and Consumer is -0.2. Overlapping area represents the amount of risk that can be diversified away by holding Retailing Fund Investor and Consumer Products Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Consumer Products and Retailing Fund 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 Retailing Fund Investor are associated (or correlated) with Consumer Products. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Consumer Products has no effect on the direction of Retailing Fund i.e., Retailing Fund and Consumer Products go up and down completely randomly.
Pair Corralation between Retailing Fund and Consumer Products
Assuming the 90 days horizon Retailing Fund Investor is expected to generate 1.12 times more return on investment than Consumer Products. However, Retailing Fund is 1.12 times more volatile than Consumer Products Fund. It trades about 0.06 of its potential returns per unit of risk. Consumer Products Fund is currently generating about 0.02 per unit of risk. If you would invest 4,174 in Retailing Fund Investor on September 2, 2024 and sell it today you would earn a total of 1,369 from holding Retailing Fund Investor or generate 32.8% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Retailing Fund Investor vs. Consumer Products Fund
Performance |
| Timeline |
| Retailing Fund Investor |
| Consumer Products |
Retailing Fund and Consumer Products Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Retailing Fund and Consumer Products
The main advantage of trading using opposite Retailing Fund and Consumer Products positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Retailing Fund position performs unexpectedly, Consumer Products 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 Consumer Products will offset losses from the drop in Consumer Products' long position.| Retailing Fund vs. Leisure Fund Investor | Retailing Fund vs. Banking Fund Investor | Retailing Fund vs. Technology Fund Investor | Retailing Fund vs. Financial Services Fund |
| Consumer Products vs. Health Care Fund | Consumer Products vs. Banking Fund Investor | Consumer Products vs. Retailing Fund Investor | Consumer Products vs. Financial Services Fund |
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 Crypto Correlations module to use cryptocurrency correlation module to diversify your cryptocurrency portfolio across multiple coins.
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