Correlation Between Bank of Suzhou and Gansu Jiu

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

By analyzing existing cross correlation between Bank of Suzhou and Gansu Jiu Steel, you can compare the effects of market volatilities on Bank of Suzhou and Gansu Jiu 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 Bank of Suzhou with a short position of Gansu Jiu. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of Suzhou and Gansu Jiu.

Diversification Opportunities for Bank of Suzhou and Gansu Jiu

0.28

Correlation Coefficient

Bank of Suzhou  Gansu Jiu

Modest diversification

The 3 months correlation between Bank and Gansu is 0.28. Overlapping area represents the amount of risk that can be diversified away by holding Bank of Suzhou and Gansu Jiu Steel in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Gansu Jiu Steel and Bank of Suzhou 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 Bank of Suzhou are associated (or correlated) with Gansu Jiu. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Gansu Jiu Steel has no effect on the direction of Bank of Suzhou i.e., Bank of Suzhou and Gansu Jiu go up and down completely randomly.

Pair Corralation between Bank of Suzhou and Gansu Jiu

Assuming the 90 days trading horizon Bank of Suzhou is expected to generate 0.74 times more return on investment than Gansu Jiu. However, Bank of Suzhou is 1.35 times less risky than Gansu Jiu. It trades about -0.02 of its potential returns per unit of risk. Gansu Jiu Steel is currently generating about -0.08 per unit of risk. If you would invest  805.00  in Bank of Suzhou on December 24, 2024 and sell it today you would lose (15.00) from holding Bank of Suzhou or give up 1.86% of portfolio value over 90 days.

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

Bank of Suzhou  vs.  Gansu Jiu Steel

Bank of Suzhou

Risk-Adjusted Performance

Very Weak

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

Gansu Jiu Steel

Risk-Adjusted Performance

Very Weak

Over the last 90 days Gansu Jiu Steel 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.

Pair Trading with Bank of Suzhou and Gansu Jiu

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

The idea behind Bank of Suzhou and Gansu Jiu Steel 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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.