Correlation Between PAY and LAMB

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

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

Diversification Opportunities for PAY and LAMB

-0.11

Correlation Coefficient

PAY  LAMB

Good diversification

The 3 months correlation between PAY and LAMB is -0.11. Overlapping area represents the amount of risk that can be diversified away by holding PAY and LAMB in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on LAMB and PAY 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 PAY are associated (or correlated) with LAMB. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of LAMB has no effect on the direction of PAY i.e., PAY and LAMB go up and down completely randomly.

Pair Corralation between PAY and LAMB

Assuming the 90 days trading horizon PAY is expected to generate 2.72 times less return on investment than LAMB. In addition to that, PAY is 1.19 times more volatile than LAMB. It trades about 0.02 of its total potential returns per unit of risk. LAMB is currently generating about 0.08 per unit of volatility. If you would invest  0.18  in LAMB on September 1, 2024 and sell it today you would earn a total of  0.05  from holding LAMB or generate 24.91% return on investment over 90 days.

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

PAY  vs.  LAMB

PAY

Risk-Adjusted Performance

1 of 100

Weak

Compared to the overall equity markets, risk-adjusted returns on investments in PAY are ranked lower than 1 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady basic indicators, PAY exhibited solid returns over the last few months and may actually be approaching a breakup point.

LAMB

Risk-Adjusted Performance

6 of 100

Modest

Compared to the overall equity markets, risk-adjusted returns on investments in LAMB are ranked lower than 6 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady fundamental indicators, LAMB exhibited solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with PAY and LAMB

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

The idea behind PAY and LAMB 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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.