Correlation Between LRC and BLZ

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

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

Diversification Opportunities for LRC and BLZ

0.69

Correlation Coefficient

LRC  BLZ

Poor diversification

The 3 months correlation between LRC and BLZ is 0.69. Overlapping area represents the amount of risk that can be diversified away by holding LRC and BLZ in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BLZ and LRC 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 LRC are associated (or correlated) with BLZ. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BLZ has no effect on the direction of LRC i.e., LRC and BLZ go up and down completely randomly.

Pair Corralation between LRC and BLZ

Assuming the 90 days trading horizon LRC is expected to generate 3.29 times less return on investment than BLZ. In addition to that, LRC is 1.24 times more volatile than BLZ. It trades about 0.01 of its total potential returns per unit of risk. BLZ is currently generating about 0.06 per unit of volatility. If you would invest  3.37  in BLZ on April 22, 2025 and sell it today you would earn a total of  0.34  from holding BLZ or generate 10.09% return on investment over 90 days.

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

LRC  vs.  BLZ

LRC

Risk-Adjusted Performance

Weak

Compared to the overall equity markets, risk-adjusted returns on investments in LRC are ranked lower than 1 (%) of all global equities and portfolios over the last 90 days. In spite of rather sound fundamental indicators, LRC is not utilizing all of its potentials. The latest stock price tumult, may contribute to shorter-term losses for the shareholders.

BLZ

Risk-Adjusted Performance

Modest

Compared to the overall equity markets, risk-adjusted returns on investments in BLZ are ranked lower than 4 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady basic indicators, BLZ exhibited solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with LRC and BLZ

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

The idea behind LRC and BLZ 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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.