Correlation Between Hurum and Sejong Telecom

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

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

Diversification Opportunities for Hurum and Sejong Telecom

0.91

Correlation Coefficient

Hurum  Sejong Telecom

Almost no diversification

The 3 months correlation between Hurum and Sejong is 0.91. Overlapping area represents the amount of risk that can be diversified away by holding Hurum Co and Sejong Telecom in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sejong Telecom and Hurum 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 Hurum Co are associated (or correlated) with Sejong Telecom. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sejong Telecom has no effect on the direction of Hurum i.e., Hurum and Sejong Telecom go up and down completely randomly.

Pair Corralation between Hurum and Sejong Telecom

Assuming the 90 days trading horizon Hurum Co is expected to generate 1.42 times more return on investment than Sejong Telecom. However, Hurum is 1.42 times more volatile than Sejong Telecom. It trades about -0.09 of its potential returns per unit of risk. Sejong Telecom is currently generating about -0.21 per unit of risk. If you would invest  84,500  in Hurum Co on October 10, 2024 and sell it today you would lose (10,600) from holding Hurum Co or give up 12.54% of portfolio value over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Very Strong
Accuracy	98.39%
Values	Daily Returns

Hurum Co  vs.  Sejong Telecom

Hurum

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days Hurum Co has generated negative risk-adjusted returns adding no value to investors with long positions. Despite latest weak performance, the Stock's basic indicators remain strong and the current disturbance on Wall Street may also be a sign of long term gains for the company investors.

Sejong Telecom

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days Sejong Telecom has generated negative risk-adjusted returns adding no value to investors with long positions. Despite weak performance in the last few months, the Stock's basic indicators remain somewhat strong which may send shares a bit higher in February 2025. The current disturbance may also be a sign of long term up-swing for the company investors.

Pair Trading with Hurum and Sejong Telecom

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

The idea behind Hurum Co and Sejong Telecom 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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.