Correlation Between Refex Industries and Reliance Industries
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By analyzing existing cross correlation between Refex Industries Limited and Reliance Industries Limited, you can compare the effects of market volatilities on Refex Industries and Reliance Industries 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 Refex Industries with a short position of Reliance Industries. Check out your portfolio center. Please also check ongoing floating volatility patterns of Refex Industries and Reliance Industries.
Diversification Opportunities for Refex Industries and Reliance Industries
-0.54 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Refex and Reliance is -0.54. Overlapping area represents the amount of risk that can be diversified away by holding Refex Industries Limited and Reliance Industries Limited in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Reliance Industries and Refex Industries 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 Refex Industries Limited are associated (or correlated) with Reliance Industries. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Reliance Industries has no effect on the direction of Refex Industries i.e., Refex Industries and Reliance Industries go up and down completely randomly.
Pair Corralation between Refex Industries and Reliance Industries
Assuming the 90 days trading horizon Refex Industries is expected to generate 1.28 times less return on investment than Reliance Industries. But when comparing it to its historical volatility, Refex Industries Limited is 3.33 times less risky than Reliance Industries. It trades about 0.14 of its potential returns per unit of risk. Reliance Industries Limited is currently generating about 0.05 of returns per unit of risk over similar time horizon. If you would invest 103,911 in Reliance Industries Limited on August 27, 2024 and sell it today you would earn a total of 22,629 from holding Reliance Industries Limited or generate 21.78% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Very Weak |
| Accuracy | 99.11% |
| Values | Daily Returns |
Refex Industries Limited vs. Reliance Industries Limited
Performance |
| Timeline |
| Refex Industries |
| Reliance Industries |
Refex Industries and Reliance Industries Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Refex Industries and Reliance Industries
The main advantage of trading using opposite Refex Industries and Reliance Industries positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Refex Industries position performs unexpectedly, Reliance Industries 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 Reliance Industries will offset losses from the drop in Reliance Industries' long position.| Refex Industries vs. Digjam Limited | Refex Industries vs. Gujarat Raffia Industries | Refex Industries vs. Kingfa Science Technology | Refex Industries vs. Rico Auto Industries |
| Reliance Industries vs. Digjam Limited | Reliance Industries vs. Gujarat Raffia Industries | Reliance Industries vs. Kingfa Science Technology | Reliance Industries vs. Rico Auto Industries |
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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