Correlation Between HuMC and Lotte Data

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

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

Diversification Opportunities for HuMC and Lotte Data

0.35

Correlation Coefficient

HuMC  Lotte Data

Weak diversification

The 3 months correlation between HuMC and Lotte is 0.35. Overlapping area represents the amount of risk that can be diversified away by holding HuMC Co and Lotte Data Communication in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Lotte Data Communication and HuMC 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 HuMC Co are associated (or correlated) with Lotte Data. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Lotte Data Communication has no effect on the direction of HuMC i.e., HuMC and Lotte Data go up and down completely randomly.

Pair Corralation between HuMC and Lotte Data

Assuming the 90 days trading horizon HuMC Co is expected to under-perform the Lotte Data. But the stock apears to be less risky and, when comparing its historical volatility, HuMC Co is 1.56 times less risky than Lotte Data. The stock trades about -0.03 of its potential returns per unit of risk. The Lotte Data Communication is currently generating about 0.05 of returns per unit of risk over similar time horizon. If you would invest  1,990,000  in Lotte Data Communication on November 29, 2024 and sell it today you would earn a total of  85,000  from holding Lotte Data Communication or generate 4.27% return on investment over 90 days.

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

HuMC Co  vs.  Lotte Data Communication

HuMC

Risk-Adjusted Performance

Very Weak

Over the last 90 days HuMC Co has generated negative risk-adjusted returns adding no value to investors with long positions. Despite somewhat strong basic indicators, HuMC is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.

Lotte Data Communication

Risk-Adjusted Performance

Weak

Compared to the overall equity markets, risk-adjusted returns on investments in Lotte Data Communication are ranked lower than 3 (%) of all global equities and portfolios over the last 90 days. Despite somewhat strong basic indicators, Lotte Data is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.

Pair Trading with HuMC and Lotte Data

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

The idea behind HuMC Co and Lotte Data Communication 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.

Check out your portfolio center.

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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.