Correlation Between Bank of Ayudhya and JD Food

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

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

Diversification Opportunities for Bank of Ayudhya and JD Food

0.57

Correlation Coefficient

Bank of Ayudhya  JD Food

Very weak diversification

The 3 months correlation between Bank and JDF is 0.57. Overlapping area represents the amount of risk that can be diversified away by holding Bank of Ayudhya and JD Food PCL in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on JD Food PCL and Bank of Ayudhya 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 Ayudhya are associated (or correlated) with JD Food. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of JD Food PCL has no effect on the direction of Bank of Ayudhya i.e., Bank of Ayudhya and JD Food go up and down completely randomly.

Pair Corralation between Bank of Ayudhya and JD Food

Assuming the 90 days trading horizon Bank of Ayudhya is expected to generate 0.59 times more return on investment than JD Food. However, Bank of Ayudhya is 1.69 times less risky than JD Food. It trades about -0.02 of its potential returns per unit of risk. JD Food PCL is currently generating about -0.03 per unit of risk. If you would invest  2,944  in Bank of Ayudhya on October 11, 2024 and sell it today you would lose (504.00) from holding Bank of Ayudhya or give up 17.12% of portfolio value over 90 days.

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

Bank of Ayudhya  vs.  JD Food PCL

Bank of Ayudhya

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days Bank of Ayudhya has generated negative risk-adjusted returns adding no value to investors with long positions. Despite latest conflicting performance, the Stock's basic indicators remain persistent and the latest mess on Wall Street may also be a sign of long-standing gains for the company institutional investors.

JD Food PCL

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days JD Food PCL has generated negative risk-adjusted returns adding no value to investors with long positions. Despite quite persistent technical and fundamental indicators, JD Food is not utilizing all of its potentials. The latest stock price mess, may contribute to short-term losses for the institutional investors.

Pair Trading with Bank of Ayudhya and JD Food

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

The idea behind Bank of Ayudhya and JD Food PCL 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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.