Correlation Between IPC MEXICO and SPDR Series

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Can any of the company-specific risk be diversified away by investing in both IPC MEXICO and SPDR Series 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 IPC MEXICO and SPDR Series into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between IPC MEXICO and SPDR Series Trust, you can compare the effects of market volatilities on IPC MEXICO and SPDR Series 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 IPC MEXICO with a short position of SPDR Series. Check out your portfolio center. Please also check ongoing floating volatility patterns of IPC MEXICO and SPDR Series.

Diversification Opportunities for IPC MEXICO and SPDR Series

-0.73
  Correlation Coefficient

Pay attention - limited upside

The 3 months correlation between IPC and SPDR is -0.73. Overlapping area represents the amount of risk that can be diversified away by holding IPC MEXICO and SPDR Series Trust in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SPDR Series Trust and IPC MEXICO 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 IPC MEXICO are associated (or correlated) with SPDR Series. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SPDR Series Trust has no effect on the direction of IPC MEXICO i.e., IPC MEXICO and SPDR Series go up and down completely randomly.
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Pair Corralation between IPC MEXICO and SPDR Series

Assuming the 90 days trading horizon IPC MEXICO is expected to generate 0.49 times more return on investment than SPDR Series. However, IPC MEXICO is 2.02 times less risky than SPDR Series. It trades about 0.03 of its potential returns per unit of risk. SPDR Series Trust is currently generating about 0.01 per unit of risk. If you would invest  4,737,438  in IPC MEXICO on March 28, 2024 and sell it today you would earn a total of  522,967  from holding IPC MEXICO or generate 11.04% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthWeak
Accuracy98.61%
ValuesDaily Returns

IPC MEXICO  vs.  SPDR Series Trust

 Performance 
       Timeline  

IPC MEXICO and SPDR Series Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with IPC MEXICO and SPDR Series

The main advantage of trading using opposite IPC MEXICO and SPDR Series positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if IPC MEXICO position performs unexpectedly, SPDR Series 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 SPDR Series will offset losses from the drop in SPDR Series' long position.
The idea behind IPC MEXICO and SPDR Series Trust 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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.

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