Correlation Between BLZ and WGRT

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

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

Diversification Opportunities for BLZ and WGRT

-0.02

Correlation Coefficient

BLZ  WGRT

Good diversification

The 3 months correlation between BLZ and WGRT is -0.02. Overlapping area represents the amount of risk that can be diversified away by holding BLZ and WGRT in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on WGRT and BLZ 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 BLZ are associated (or correlated) with WGRT. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of WGRT has no effect on the direction of BLZ i.e., BLZ and WGRT go up and down completely randomly.

Pair Corralation between BLZ and WGRT

Assuming the 90 days trading horizon BLZ is expected to generate 1.16 times less return on investment than WGRT. But when comparing it to its historical volatility, BLZ is 6.37 times less risky than WGRT. It trades about 0.05 of its potential returns per unit of risk. WGRT is currently generating about 0.01 of returns per unit of risk over similar time horizon. If you would invest  1.38  in WGRT on August 30, 2024 and sell it today you would lose (1.32) from holding WGRT or give up 95.46% of portfolio value over 90 days.

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

BLZ  vs.  WGRT

BLZ

Risk-Adjusted Performance

3 of 100

Insignificant

Compared to the overall equity markets, risk-adjusted returns on investments in BLZ are ranked lower than 3 (%) 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.

WGRT

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days WGRT has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of rather unsteady fundamental indicators, WGRT exhibited solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with BLZ and WGRT

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

The idea behind BLZ and WGRT 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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.