Correlation Between Ping An and Bank of Suzhou

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

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

Diversification Opportunities for Ping An and Bank of Suzhou

-0.14

Correlation Coefficient

Ping An  Bank of Suzhou

Good diversification

The 3 months correlation between Ping and Bank is -0.14. Overlapping area represents the amount of risk that can be diversified away by holding Ping An Insurance and Bank of Suzhou in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bank of Suzhou and Ping An 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 Ping An Insurance are associated (or correlated) with Bank of Suzhou. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bank of Suzhou has no effect on the direction of Ping An i.e., Ping An and Bank of Suzhou go up and down completely randomly.

Pair Corralation between Ping An and Bank of Suzhou

Assuming the 90 days trading horizon Ping An Insurance is expected to under-perform the Bank of Suzhou. In addition to that, Ping An is 1.06 times more volatile than Bank of Suzhou. It trades about -0.08 of its total potential returns per unit of risk. Bank of Suzhou is currently generating about -0.02 per unit of volatility. If you would invest  779.00  in Bank of Suzhou on November 19, 2024 and sell it today you would lose (15.00) from holding Bank of Suzhou or give up 1.93% of portfolio value over 90 days.

Time Period	3 Months [change]
Direction	Moves Against
Strength	Insignificant
Accuracy	98.31%
Values	Daily Returns

Ping An Insurance  vs.  Bank of Suzhou

Ping An Insurance

Risk-Adjusted Performance

Very Weak

Over the last 90 days Ping An Insurance 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.

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.

Pair Trading with Ping An and Bank of Suzhou

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

The idea behind Ping An Insurance and Bank of Suzhou 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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.