Correlation Between LBA and Klaytn

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

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

Diversification Opportunities for LBA and Klaytn

0.58

Correlation Coefficient

LBA  Klaytn

Very weak diversification

The 3 months correlation between LBA and Klaytn is 0.58. Overlapping area represents the amount of risk that can be diversified away by holding LBA and Klaytn in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Klaytn and LBA 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 LBA are associated (or correlated) with Klaytn. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Klaytn has no effect on the direction of LBA i.e., LBA and Klaytn go up and down completely randomly.

Pair Corralation between LBA and Klaytn

Assuming the 90 days trading horizon LBA is expected to generate 1.77 times more return on investment than Klaytn. However, LBA is 1.77 times more volatile than Klaytn. It trades about 0.05 of its potential returns per unit of risk. Klaytn is currently generating about -0.15 per unit of risk. If you would invest  0.05  in LBA on January 30, 2024 and sell it today you would lose  0.00  from holding LBA or give up 0.76% of portfolio value over 90 days.

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

LBA  vs.  Klaytn

LBA

Risk-Adjusted Performance

9 of 100

OK

Compared to the overall equity markets, risk-adjusted returns on investments in LBA are ranked lower than 9 (%) of all global equities and portfolios over the last 90 days. In spite of rather weak basic indicators, LBA exhibited solid returns over the last few months and may actually be approaching a breakup point.

Klaytn

Risk-Adjusted Performance

2 of 100

Weak

Compared to the overall equity markets, risk-adjusted returns on investments in Klaytn are ranked lower than 2 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady basic indicators, Klaytn may actually be approaching a critical reversion point that can send shares even higher in May 2024.

Pair Trading with LBA and Klaytn

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

The idea behind LBA and Klaytn 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 Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.