Correlation Between ANT and LAZY Old

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

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

Diversification Opportunities for ANT and LAZY Old

-0.3

Correlation Coefficient

ANT  LAZY Old

Very good diversification

The 3 months correlation between ANT and LAZY is -0.3. Overlapping area represents the amount of risk that can be diversified away by holding ANT and LAZY Old in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on LAZY Old and ANT 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 ANT are associated (or correlated) with LAZY Old. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of LAZY Old has no effect on the direction of ANT i.e., ANT and LAZY Old go up and down completely randomly.

Pair Corralation between ANT and LAZY Old

If you would invest  933.00  in ANT on October 12, 2024 and sell it today you would lose (786.00) from holding ANT or give up 84.24% of portfolio value over 90 days.

Time Period	3 Months [change]
Direction	Moves Against
Strength	Insignificant
Accuracy	0.6%
Values	Daily Returns

ANT  vs.  LAZY Old

ANT

Risk-Adjusted Performance

16 of 100

Solid

Compared to the overall equity markets, risk-adjusted returns on investments in ANT are ranked lower than 16 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady basic indicators, ANT exhibited solid returns over the last few months and may actually be approaching a breakup point.

LAZY Old

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days LAZY Old has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of fairly strong basic indicators, LAZY Old is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.

Pair Trading with ANT and LAZY Old

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

The idea behind ANT and LAZY Old 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 Aroon Oscillator module to analyze current equity momentum using Aroon Oscillator and other momentum ratios.