Correlation Between Bank of Punjab and Agritech

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

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

Diversification Opportunities for Bank of Punjab and Agritech

-0.06

Correlation Coefficient

Bank of Punjab  Agritech

Good diversification

The 3 months correlation between Bank and Agritech is -0.06. Overlapping area represents the amount of risk that can be diversified away by holding Bank of Punjab and Agritech in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Agritech and Bank of Punjab 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 Bank of Punjab are associated (or correlated) with Agritech. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Agritech has no effect on the direction of Bank of Punjab i.e., Bank of Punjab and Agritech go up and down completely randomly.

Pair Corralation between Bank of Punjab and Agritech

Assuming the 90 days trading horizon Bank of Punjab is expected to generate 2.88 times more return on investment than Agritech. However, Bank of Punjab is 2.88 times more volatile than Agritech. It trades about 0.04 of its potential returns per unit of risk. Agritech is currently generating about -0.26 per unit of risk. If you would invest  996.00  in Bank of Punjab on October 11, 2024 and sell it today you would earn a total of  18.00  from holding Bank of Punjab or generate 1.81% return on investment over 90 days.

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

Bank of Punjab  vs.  Agritech

Bank of Punjab

Risk-Adjusted Performance

20 of 100

Solid

Compared to the overall equity markets, risk-adjusted returns on investments in Bank of Punjab are ranked lower than 20 (%) of all global equities and portfolios over the last 90 days. Even with relatively weak basic indicators, Bank of Punjab reported solid returns over the last few months and may actually be approaching a breakup point.

Agritech

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days Agritech has generated negative risk-adjusted returns adding no value to investors with long positions. Even with relatively invariable basic indicators, Agritech is not utilizing all of its potentials. The recent stock price agitation, may contribute to short-term losses for the retail investors.

Pair Trading with Bank of Punjab and Agritech

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

The idea behind Bank of Punjab and Agritech 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.

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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.