Correlation Between BEL Small and Fluxys Belgium

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

By analyzing existing cross correlation between BEL Small and Fluxys Belgium, you can compare the effects of market volatilities on BEL Small and Fluxys Belgium 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 BEL Small with a short position of Fluxys Belgium. Check out your portfolio center. Please also check ongoing floating volatility patterns of BEL Small and Fluxys Belgium.

Diversification Opportunities for BEL Small and Fluxys Belgium

0.36

Correlation Coefficient

BEL Small  Fluxys Belgium

Weak diversification

The 3 months correlation between BEL and Fluxys is 0.36. Overlapping area represents the amount of risk that can be diversified away by holding BEL Small and Fluxys Belgium in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Fluxys Belgium and BEL Small 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 BEL Small are associated (or correlated) with Fluxys Belgium. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Fluxys Belgium has no effect on the direction of BEL Small i.e., BEL Small and Fluxys Belgium go up and down completely randomly.

Pair Corralation between BEL Small and Fluxys Belgium

Assuming the 90 days trading horizon BEL Small is expected to under-perform the Fluxys Belgium. But the index apears to be less risky and, when comparing its historical volatility, BEL Small is 5.7 times less risky than Fluxys Belgium. The index trades about -0.28 of its potential returns per unit of risk. The Fluxys Belgium is currently generating about -0.01 of returns per unit of risk over similar time horizon. If you would invest  1,545  in Fluxys Belgium on September 18, 2024 and sell it today you would lose (70.00) from holding Fluxys Belgium or give up 4.53% of portfolio value over 90 days.

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

BEL Small  vs.  Fluxys Belgium

Pair Trading with BEL Small and Fluxys Belgium

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

The idea behind BEL Small and Fluxys Belgium 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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.