Correlation Between InfoBank and Samyang Foods

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

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

Diversification Opportunities for InfoBank and Samyang Foods

0.76

Correlation Coefficient

InfoBank  Samyang Foods

Poor diversification

The 3 months correlation between InfoBank and Samyang is 0.76. Overlapping area represents the amount of risk that can be diversified away by holding InfoBank and Samyang Foods Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Samyang Foods and InfoBank 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 InfoBank are associated (or correlated) with Samyang Foods. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Samyang Foods has no effect on the direction of InfoBank i.e., InfoBank and Samyang Foods go up and down completely randomly.

Pair Corralation between InfoBank and Samyang Foods

Assuming the 90 days trading horizon InfoBank is expected to generate 1.16 times less return on investment than Samyang Foods. In addition to that, InfoBank is 1.47 times more volatile than Samyang Foods Co. It trades about 0.09 of its total potential returns per unit of risk. Samyang Foods Co is currently generating about 0.16 per unit of volatility. If you would invest  52,200,000  in Samyang Foods Co on October 26, 2024 and sell it today you would earn a total of  17,600,000  from holding Samyang Foods Co or generate 33.72% return on investment over 90 days.

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

InfoBank  vs.  Samyang Foods Co

InfoBank

Risk-Adjusted Performance

7 of 100

OK

Compared to the overall equity markets, risk-adjusted returns on investments in InfoBank are ranked lower than 7 (%) of all global equities and portfolios over the last 90 days. Despite somewhat weak basic indicators, InfoBank sustained solid returns over the last few months and may actually be approaching a breakup point.

Samyang Foods

Risk-Adjusted Performance

12 of 100

Good

Compared to the overall equity markets, risk-adjusted returns on investments in Samyang Foods Co are ranked lower than 12 (%) of all global equities and portfolios over the last 90 days. Despite somewhat weak basic indicators, Samyang Foods sustained solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with InfoBank and Samyang Foods

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

The idea behind InfoBank and Samyang Foods Co 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.