Correlation Between LAMB and KMD

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

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

Diversification Opportunities for LAMB and KMD

0.72

Correlation Coefficient

LAMB  KMD

Poor diversification

The 3 months correlation between LAMB and KMD is 0.72. Overlapping area represents the amount of risk that can be diversified away by holding LAMB and KMD in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on KMD and LAMB 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 LAMB are associated (or correlated) with KMD. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of KMD has no effect on the direction of LAMB i.e., LAMB and KMD go up and down completely randomly.

Pair Corralation between LAMB and KMD

Assuming the 90 days trading horizon LAMB is expected to under-perform the KMD. In addition to that, LAMB is 1.28 times more volatile than KMD. It trades about -0.1 of its total potential returns per unit of risk. KMD is currently generating about -0.05 per unit of volatility. If you would invest  46.00  in KMD on January 30, 2024 and sell it today you would lose (5.00) from holding KMD or give up 10.87% of portfolio value over 90 days.

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

LAMB  vs.  KMD

LAMB

Risk-Adjusted Performance

17 of 100

Solid

Compared to the overall equity markets, risk-adjusted returns on investments in LAMB are ranked lower than 17 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady basic indicators, LAMB exhibited solid returns over the last few months and may actually be approaching a breakup point.

KMD

Risk-Adjusted Performance

11 of 100

Good

Compared to the overall equity markets, risk-adjusted returns on investments in KMD are ranked lower than 11 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady fundamental indicators, KMD exhibited solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with LAMB and KMD

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

The idea behind LAMB and KMD 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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.