Correlation Between KB Financial and Automatic Data

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

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

Diversification Opportunities for KB Financial and Automatic Data

-0.07

Correlation Coefficient

KB Financial  Automatic Data

Good diversification

The 3 months correlation between K1BF34 and Automatic is -0.07. Overlapping area represents the amount of risk that can be diversified away by holding KB Financial Group and Automatic Data Processing in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Automatic Data Processing and KB Financial 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 KB Financial Group are associated (or correlated) with Automatic Data. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Automatic Data Processing has no effect on the direction of KB Financial i.e., KB Financial and Automatic Data go up and down completely randomly.

Pair Corralation between KB Financial and Automatic Data

Assuming the 90 days trading horizon KB Financial Group is expected to generate 1.43 times more return on investment than Automatic Data. However, KB Financial is 1.43 times more volatile than Automatic Data Processing. It trades about 0.23 of its potential returns per unit of risk. Automatic Data Processing is currently generating about 0.0 per unit of risk. If you would invest  8,337  in KB Financial Group on April 20, 2025 and sell it today you would earn a total of  3,163  from holding KB Financial Group or generate 37.94% return on investment over 90 days.

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

KB Financial Group  vs.  Automatic Data Processing

KB Financial Group

Risk-Adjusted Performance

Solid

Compared to the overall equity markets, risk-adjusted returns on investments in KB Financial Group are ranked lower than 18 (%) of all global equities and portfolios over the last 90 days. Despite somewhat weak fundamental drivers, KB Financial sustained solid returns over the last few months and may actually be approaching a breakup point.

Automatic Data Processing

Risk-Adjusted Performance

Very Weak

Over the last 90 days Automatic Data Processing has generated negative risk-adjusted returns adding no value to investors with long positions. Despite somewhat strong basic indicators, Automatic 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 KB Financial and Automatic Data

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

The idea behind KB Financial Group and Automatic Data Processing 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 ETFs module to find actively traded Exchange Traded Funds (ETF) from around the world.