Correlation Between Shinhan Financial and IM CoLtd

Specify exactly 2 symbols:
Can any of the company-specific risk be diversified away by investing in both Shinhan Financial and IM CoLtd 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 Shinhan Financial and IM CoLtd into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Shinhan Financial Group and IM CoLtd, you can compare the effects of market volatilities on Shinhan Financial and IM CoLtd 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 Shinhan Financial with a short position of IM CoLtd. Check out your portfolio center. Please also check ongoing floating volatility patterns of Shinhan Financial and IM CoLtd.

Diversification Opportunities for Shinhan Financial and IM CoLtd

Shinhan101390Diversified AwayShinhan101390Diversified Away100%
0.64
  Correlation Coefficient

Poor diversification

The 3 months correlation between Shinhan and 101390 is 0.64. Overlapping area represents the amount of risk that can be diversified away by holding Shinhan Financial Group and IM CoLtd in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on IM CoLtd and Shinhan 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 Shinhan Financial Group are associated (or correlated) with IM CoLtd. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of IM CoLtd has no effect on the direction of Shinhan Financial i.e., Shinhan Financial and IM CoLtd go up and down completely randomly.

Pair Corralation between Shinhan Financial and IM CoLtd

Assuming the 90 days trading horizon Shinhan Financial Group is expected to generate 0.41 times more return on investment than IM CoLtd. However, Shinhan Financial Group is 2.44 times less risky than IM CoLtd. It trades about 0.03 of its potential returns per unit of risk. IM CoLtd is currently generating about -0.15 per unit of risk. If you would invest  4,222,164  in Shinhan Financial Group on December 5, 2024 and sell it today you would earn a total of  392,836  from holding Shinhan Financial Group or generate 9.3% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthSignificant
Accuracy99.54%
ValuesDaily Returns

Shinhan Financial Group  vs.  IM CoLtd

 Performance 
JavaScript chart by amCharts 3.21.15Dec2025Feb -60-50-40-30-20-100
JavaScript chart by amCharts 3.21.15055550 101390
       Timeline  
Shinhan Financial 

Risk-Adjusted Performance

Very Weak

 
Weak
 
Strong
Over the last 90 days Shinhan Financial Group 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.
JavaScript chart by amCharts 3.21.15DecJanFebJanFebMar46,00048,00050,00052,00054,00056,000
IM CoLtd 

Risk-Adjusted Performance

Very Weak

 
Weak
 
Strong
Over the last 90 days IM CoLtd 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 April 2025. The current disturbance may also be a sign of long term up-swing for the company investors.
JavaScript chart by amCharts 3.21.15DecJanFebMarJanFebMar1,0001,5002,0002,5003,000

Shinhan Financial and IM CoLtd Volatility Contrast

   Predicted Return Density   
JavaScript chart by amCharts 3.21.15-3.14-2.35-1.56-0.770.01150.691.382.062.75 0.020.040.060.080.100.12
JavaScript chart by amCharts 3.21.15055550 101390
       Returns  

Pair Trading with Shinhan Financial and IM CoLtd

The main advantage of trading using opposite Shinhan Financial and IM CoLtd positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Shinhan Financial position performs unexpectedly, IM CoLtd 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 IM CoLtd will offset losses from the drop in IM CoLtd's long position.
The idea behind Shinhan Financial Group and IM CoLtd 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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.

Other Complementary Tools

Volatility Analysis
Get historical volatility and risk analysis based on latest market data
Fundamentals Comparison
Compare fundamentals across multiple equities to find investing opportunities
Portfolio Manager
State of the art Portfolio Manager to monitor and improve performance of your invested capital
Idea Breakdown
Analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes
Portfolio Volatility
Check portfolio volatility and analyze historical return density to properly model market risk