Correlation Between Power Finance and SBI Cards

Can any of the company-specific risk be diversified away by investing in both Power Finance and SBI Cards 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 Power Finance and SBI Cards into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between Power Finance and SBI Cards and, you can compare the effects of market volatilities on Power Finance and SBI Cards 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 Power Finance with a short position of SBI Cards. Check out your portfolio center. Please also check ongoing floating volatility patterns of Power Finance and SBI Cards.

Diversification Opportunities for Power Finance and SBI Cards

0.6

Correlation Coefficient

Power Finance  SBI Cards

Poor diversification

The 3 months correlation between Power and SBI is 0.6. Overlapping area represents the amount of risk that can be diversified away by holding Power Finance and SBI Cards and in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SBI Cards and Power Finance 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 Power Finance are associated (or correlated) with SBI Cards. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SBI Cards has no effect on the direction of Power Finance i.e., Power Finance and SBI Cards go up and down completely randomly.

Pair Corralation between Power Finance and SBI Cards

Assuming the 90 days trading horizon Power Finance is expected to under-perform the SBI Cards. In addition to that, Power Finance is 1.87 times more volatile than SBI Cards and. It trades about -0.05 of its total potential returns per unit of risk. SBI Cards and is currently generating about -0.1 per unit of volatility. If you would invest  76,855  in SBI Cards and on September 4, 2024 and sell it today you would lose (6,550) from holding SBI Cards and or give up 8.52% of portfolio value over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Significant
Accuracy	100.0%
Values	Daily Returns

Power Finance  vs.  SBI Cards and

Power Finance

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days Power Finance has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of latest unfluctuating performance, the Stock's technical and fundamental indicators remain sound and the latest tumult on Wall Street may also be a sign of longer-term gains for the firm shareholders.

SBI Cards

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days SBI Cards and has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of latest weak performance, the Stock's basic indicators remain sound and the latest tumult on Wall Street may also be a sign of longer-term gains for the firm shareholders.

Pair Trading with Power Finance and SBI Cards

The main advantage of trading using opposite Power Finance and SBI Cards positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Power Finance position performs unexpectedly, SBI Cards 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 SBI Cards will offset losses from the drop in SBI Cards' long position.

The idea behind Power Finance and SBI Cards and pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.

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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 Fundamental Analysis module to view fundamental data based on most recent published financial statements.