Correlation Between Fauji Foods and Pak Datacom

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

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

Diversification Opportunities for Fauji Foods and Pak Datacom

0.6

Correlation Coefficient

Fauji Foods  Pak Datacom

Poor diversification

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

Pair Corralation between Fauji Foods and Pak Datacom

Assuming the 90 days trading horizon Fauji Foods is expected to generate 0.99 times more return on investment than Pak Datacom. However, Fauji Foods is 1.01 times less risky than Pak Datacom. It trades about 0.12 of its potential returns per unit of risk. Pak Datacom is currently generating about 0.03 per unit of risk. If you would invest  673.00  in Fauji Foods on September 17, 2024 and sell it today you would earn a total of  827.00  from holding Fauji Foods or generate 122.88% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Significant
Accuracy	98.94%
Values	Daily Returns

Fauji Foods  vs.  Pak Datacom

Fauji Foods

Risk-Adjusted Performance

21 of 100

Solid

Compared to the overall equity markets, risk-adjusted returns on investments in Fauji Foods are ranked lower than 21 (%) of all global equities and portfolios over the last 90 days. Even with relatively weak basic indicators, Fauji Foods reported solid returns over the last few months and may actually be approaching a breakup point.

Pak Datacom

Risk-Adjusted Performance

1 of 100

Weak

Compared to the overall equity markets, risk-adjusted returns on investments in Pak Datacom are ranked lower than 1 (%) of all global equities and portfolios over the last 90 days. Despite somewhat strong basic indicators, Pak Datacom is not utilizing all of its potentials. The latest stock price disturbance, may contribute to short-term losses for the investors.

Pair Trading with Fauji Foods and Pak Datacom

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

The idea behind Fauji Foods and Pak Datacom 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 Stocks Directory module to find actively traded stocks across global markets.