Correlation Between Indian Railway and Power FinanceLimited
Can any of the company-specific risk be diversified away by investing in both Indian Railway and Power FinanceLimited 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 Indian Railway and Power FinanceLimited into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Indian Railway Finance and Power Finance, you can compare the effects of market volatilities on Indian Railway and Power FinanceLimited 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 Indian Railway with a short position of Power FinanceLimited. Check out your portfolio center. Please also check ongoing floating volatility patterns of Indian Railway and Power FinanceLimited.
Diversification Opportunities for Indian Railway and Power FinanceLimited
0.79 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Indian and Power is 0.79. Overlapping area represents the amount of risk that can be diversified away by holding Indian Railway Finance and Power Finance in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Power FinanceLimited and Indian Railway 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 Indian Railway Finance are associated (or correlated) with Power FinanceLimited. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Power FinanceLimited has no effect on the direction of Indian Railway i.e., Indian Railway and Power FinanceLimited go up and down completely randomly.
Pair Corralation between Indian Railway and Power FinanceLimited
Assuming the 90 days trading horizon Indian Railway Finance is expected to under-perform the Power FinanceLimited. In addition to that, Indian Railway is 1.09 times more volatile than Power Finance. It trades about -0.05 of its total potential returns per unit of risk. Power Finance is currently generating about -0.04 per unit of volatility. If you would invest 44,821 in Power Finance on December 22, 2024 and sell it today you would lose (4,041) from holding Power Finance or give up 9.02% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 98.39% |
Values | Daily Returns |
Indian Railway Finance vs. Power Finance
Performance |
Timeline |
Indian Railway Finance |
Power FinanceLimited |
Indian Railway and Power FinanceLimited Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Indian Railway and Power FinanceLimited
The main advantage of trading using opposite Indian Railway and Power FinanceLimited positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Indian Railway position performs unexpectedly, Power FinanceLimited 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 FinanceLimited will offset losses from the drop in Power FinanceLimited's long position.Indian Railway vs. SANOFI S HEALTHC | Indian Railway vs. WESTLIFE FOODWORLD LIMITED | Indian Railway vs. Global Health Limited | Indian Railway vs. Zydus Wellness Limited |
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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 Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
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