Correlation Between DAX Index and Senkadagala Finance

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

By analyzing existing cross correlation between DAX Index and Senkadagala Finance PLC, you can compare the effects of market volatilities on DAX Index and Senkadagala Finance 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 Senkadagala Finance. Check out your portfolio center. Please also check ongoing floating volatility patterns of DAX Index and Senkadagala Finance.

Diversification Opportunities for DAX Index and Senkadagala Finance

0.47

Correlation Coefficient

DAX Index  Senkadagala Finance

Very weak diversification

The 3 months correlation between DAX and Senkadagala is 0.47. Overlapping area represents the amount of risk that can be diversified away by holding DAX Index and Senkadagala Finance PLC in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Senkadagala Finance PLC 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 Senkadagala Finance. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Senkadagala Finance PLC has no effect on the direction of DAX Index i.e., DAX Index and Senkadagala Finance go up and down completely randomly.

Pair Corralation between DAX Index and Senkadagala Finance

Assuming the 90 days trading horizon DAX Index is expected to generate 5.32 times less return on investment than Senkadagala Finance. But when comparing it to its historical volatility, DAX Index is 2.37 times less risky than Senkadagala Finance. It trades about 0.17 of its potential returns per unit of risk. Senkadagala Finance PLC is currently generating about 0.38 of returns per unit of risk over similar time horizon. If you would invest  37,500  in Senkadagala Finance PLC on October 22, 2024 and sell it today you would earn a total of  9,675  from holding Senkadagala Finance PLC or generate 25.8% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Weak
Accuracy	55.74%
Values	Daily Returns

DAX Index  vs.  Senkadagala Finance PLC

Pair Trading with DAX Index and Senkadagala Finance

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

The idea behind DAX Index and Senkadagala Finance PLC 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.