Correlation Between BIST Electricity and Fondo Mutuo

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

By analyzing existing cross correlation between BIST Electricity and Fondo Mutuo ETF, you can compare the effects of market volatilities on BIST Electricity and Fondo Mutuo 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 BIST Electricity with a short position of Fondo Mutuo. Check out your portfolio center. Please also check ongoing floating volatility patterns of BIST Electricity and Fondo Mutuo.

Diversification Opportunities for BIST Electricity and Fondo Mutuo

0.06

Correlation Coefficient

BIST Electricity  Fondo Mutuo

Significant diversification

The 3 months correlation between BIST and Fondo is 0.06. Overlapping area represents the amount of risk that can be diversified away by holding BIST Electricity and Fondo Mutuo ETF in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Fondo Mutuo ETF and BIST Electricity 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 BIST Electricity are associated (or correlated) with Fondo Mutuo. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Fondo Mutuo ETF has no effect on the direction of BIST Electricity i.e., BIST Electricity and Fondo Mutuo go up and down completely randomly.

Pair Corralation between BIST Electricity and Fondo Mutuo

Assuming the 90 days trading horizon BIST Electricity is expected to generate 1.75 times more return on investment than Fondo Mutuo. However, BIST Electricity is 1.75 times more volatile than Fondo Mutuo ETF. It trades about 0.27 of its potential returns per unit of risk. Fondo Mutuo ETF is currently generating about -0.13 per unit of risk. If you would invest  55,221  in BIST Electricity on January 31, 2024 and sell it today you would earn a total of  4,872  from holding BIST Electricity or generate 8.82% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Insignificant
Accuracy	80.95%
Values	Daily Returns

BIST Electricity  vs.  Fondo Mutuo ETF

Pair Trading with BIST Electricity and Fondo Mutuo

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

The idea behind BIST Electricity and Fondo Mutuo ETF 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.