Correlation Between BTT and Aelf

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

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

Diversification Opportunities for BTT and Aelf

0.51

Correlation Coefficient

BTT  Aelf

Very weak diversification

The 3 months correlation between BTT and Aelf is 0.51. Overlapping area represents the amount of risk that can be diversified away by holding BTT and aelf in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on aelf and BTT 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 BTT are associated (or correlated) with Aelf. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of aelf has no effect on the direction of BTT i.e., BTT and Aelf go up and down completely randomly.

Pair Corralation between BTT and Aelf

Assuming the 90 days trading horizon BTT is expected to generate 3.85 times more return on investment than Aelf. However, BTT is 3.85 times more volatile than aelf. It trades about 0.09 of its potential returns per unit of risk. aelf is currently generating about -0.11 per unit of risk. If you would invest  0.00  in BTT on September 25, 2024 and sell it today you would earn a total of  0.00  from holding BTT or generate 0.0% return on investment over 90 days.

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

BTT  vs.  aelf

BTT

Risk-Adjusted Performance

4 of 100

Insignificant

Compared to the overall equity markets, risk-adjusted returns on investments in BTT are ranked lower than 4 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady basic indicators, BTT exhibited solid returns over the last few months and may actually be approaching a breakup point.

aelf

Risk-Adjusted Performance

5 of 100

Modest

Compared to the overall equity markets, risk-adjusted returns on investments in aelf are ranked lower than 5 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady technical and fundamental indicators, Aelf exhibited solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with BTT and Aelf

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

The idea behind BTT and aelf 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 Idea Analyzer module to analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas.