Correlation Between Datawalk and ING Bank

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

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

Diversification Opportunities for Datawalk and ING Bank

-0.64

Correlation Coefficient

Datawalk  ING Bank

Excellent diversification

The 3 months correlation between Datawalk and ING is -0.64. Overlapping area represents the amount of risk that can be diversified away by holding Datawalk SA and ING Bank lski in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ING Bank lski and Datawalk 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 Datawalk SA are associated (or correlated) with ING Bank. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ING Bank lski has no effect on the direction of Datawalk i.e., Datawalk and ING Bank go up and down completely randomly.

Pair Corralation between Datawalk and ING Bank

Assuming the 90 days trading horizon Datawalk SA is expected to generate 2.68 times more return on investment than ING Bank. However, Datawalk is 2.68 times more volatile than ING Bank lski. It trades about 0.06 of its potential returns per unit of risk. ING Bank lski is currently generating about -0.03 per unit of risk. If you would invest  4,305  in Datawalk SA on September 16, 2024 and sell it today you would earn a total of  485.00  from holding Datawalk SA or generate 11.27% return on investment over 90 days.

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

Datawalk SA  vs.  ING Bank lski

Datawalk SA

Risk-Adjusted Performance

4 of 100

Insignificant

Compared to the overall equity markets, risk-adjusted returns on investments in Datawalk SA are ranked lower than 4 (%) of all global equities and portfolios over the last 90 days. Even with relatively weak basic indicators, Datawalk reported solid returns over the last few months and may actually be approaching a breakup point.

ING Bank lski

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days ING Bank lski has generated negative risk-adjusted returns adding no value to investors with long positions. Even with relatively invariable basic indicators, ING Bank is not utilizing all of its potentials. The latest stock price agitation, may contribute to short-term losses for the retail investors.

Pair Trading with Datawalk and ING Bank

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

The idea behind Datawalk SA and ING Bank lski 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.