Correlation Between DAX Index and Japan Petroleum

Can any of the company-specific risk be diversified away by investing in both DAX Index and Japan Petroleum 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 DAX Index and Japan Petroleum into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between DAX Index and Japan Petroleum Exploration, you can compare the effects of market volatilities on DAX Index and Japan Petroleum 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 DAX Index with a short position of Japan Petroleum. Check out your portfolio center. Please also check ongoing floating volatility patterns of DAX Index and Japan Petroleum.

Diversification Opportunities for DAX Index and Japan Petroleum

0.13

Correlation Coefficient

DAX Index  Japan Petroleum

Average diversification

The 3 months correlation between DAX and Japan is 0.13. Overlapping area represents the amount of risk that can be diversified away by holding DAX Index and Japan Petroleum Exploration in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Japan Petroleum Expl and DAX Index 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 DAX Index are associated (or correlated) with Japan Petroleum. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Japan Petroleum Expl has no effect on the direction of DAX Index i.e., DAX Index and Japan Petroleum go up and down completely randomly.

Pair Corralation between DAX Index and Japan Petroleum

Assuming the 90 days trading horizon DAX Index is expected to generate 0.47 times more return on investment than Japan Petroleum. However, DAX Index is 2.12 times less risky than Japan Petroleum. It trades about 0.41 of its potential returns per unit of risk. Japan Petroleum Exploration is currently generating about 0.01 per unit of risk. If you would invest  1,918,919  in DAX Index on September 19, 2024 and sell it today you would earn a total of  105,718  from holding DAX Index or generate 5.51% return on investment over 90 days.

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

DAX Index  vs.  Japan Petroleum Exploration

Pair Trading with DAX Index and Japan Petroleum

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

The idea behind DAX Index and Japan Petroleum Exploration 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.