Correlation Between Hatton National and Dow Jones

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

By analyzing existing cross correlation between Hatton National Bank and Dow Jones Industrial, you can compare the effects of market volatilities on Hatton National and Dow Jones 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 Hatton National with a short position of Dow Jones. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hatton National and Dow Jones.

Diversification Opportunities for Hatton National and Dow Jones

0.7

Correlation Coefficient

Hatton National  Dow Jones

Poor diversification

The 3 months correlation between Hatton and Dow is 0.7. Overlapping area represents the amount of risk that can be diversified away by holding Hatton National Bank and Dow Jones Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dow Jones Industrial and Hatton National 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 Hatton National Bank are associated (or correlated) with Dow Jones. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dow Jones Industrial has no effect on the direction of Hatton National i.e., Hatton National and Dow Jones go up and down completely randomly.

Pair Corralation between Hatton National and Dow Jones

Assuming the 90 days trading horizon Hatton National Bank is expected to generate 2.42 times more return on investment than Dow Jones. However, Hatton National is 2.42 times more volatile than Dow Jones Industrial. It trades about 0.41 of its potential returns per unit of risk. Dow Jones Industrial is currently generating about 0.11 per unit of risk. If you would invest  16,400  in Hatton National Bank on September 16, 2024 and sell it today you would earn a total of  8,500  from holding Hatton National Bank or generate 51.83% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Significant
Accuracy	92.31%
Values	Daily Returns

Hatton National Bank  vs.  Dow Jones Industrial

Pair Trading with Hatton National and Dow Jones

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

The idea behind Hatton National Bank and Dow Jones Industrial 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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.