Correlation Between REC and Power Finance
Specify exactly 2 symbols:
By analyzing existing cross correlation between REC Limited and Power Finance, you can compare the effects of market volatilities on REC and Power Finance 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 REC with a short position of Power Finance. Check out your portfolio center. Please also check ongoing floating volatility patterns of REC and Power Finance.
Diversification Opportunities for REC and Power Finance
0.87 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between REC and Power is 0.87. Overlapping area represents the amount of risk that can be diversified away by holding REC Limited and Power Finance in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Power Finance and REC 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 REC Limited are associated (or correlated) with Power Finance. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Power Finance has no effect on the direction of REC i.e., REC and Power Finance go up and down completely randomly.
Pair Corralation between REC and Power Finance
Assuming the 90 days trading horizon REC Limited is expected to under-perform the Power Finance. But the stock apears to be less risky and, when comparing its historical volatility, REC Limited is 1.12 times less risky than Power Finance. The stock trades about -0.1 of its potential returns per unit of risk. The Power Finance is currently generating about -0.05 of returns per unit of risk over similar time horizon. If you would invest 55,123 in Power Finance on September 4, 2024 and sell it today you would lose (5,548) from holding Power Finance or give up 10.06% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
REC Limited vs. Power Finance
Performance |
Timeline |
REC Limited |
Power Finance |
REC and Power Finance Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with REC and Power Finance
The main advantage of trading using opposite REC and Power Finance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if REC position performs unexpectedly, Power Finance 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 Power Finance will offset losses from the drop in Power Finance's long position.REC vs. Procter Gamble Health | REC vs. Orient Technologies Limited | REC vs. GPT Healthcare | REC vs. Landmark Cars Limited |
Power Finance vs. Amrutanjan Health Care | Power Finance vs. Hisar Metal Industries | Power Finance vs. Shyam Metalics and | Power Finance vs. Transport of |
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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
Other Complementary Tools
Global Correlations Find global opportunities by holding instruments from different markets | |
Premium Stories Follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope | |
Bollinger Bands Use Bollinger Bands indicator to analyze target price for a given investing horizon | |
Portfolio Dashboard Portfolio dashboard that provides centralized access to all your investments | |
Efficient Frontier Plot and analyze your portfolio and positions against risk-return landscape of the market. |