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Mexican Stock Exchange Performance after the Crisis of 2008: Application of Data Mining
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Zeitschriftentitel: | Dimensión Empresarial |
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In: | Dimensión Empresarial, 18, 2020, (1) |
Format: | E-Article |
Sprache: | Unbestimmt |
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Universidad Autonoma del Caribe
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author_facet |
Ramírez Reyes, Eliseo Morales Castro, Arturo Sanabria Landazábal, Néstor Juan Ramírez Reyes, Eliseo Morales Castro, Arturo Sanabria Landazábal, Néstor Juan |
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author |
Ramírez Reyes, Eliseo Morales Castro, Arturo Sanabria Landazábal, Néstor Juan |
spellingShingle |
Ramírez Reyes, Eliseo Morales Castro, Arturo Sanabria Landazábal, Néstor Juan Dimensión Empresarial Mexican Stock Exchange Performance after the Crisis of 2008: Application of Data Mining General Earth and Planetary Sciences General Environmental Science |
author_sort |
ramírez reyes, eliseo |
spelling |
Ramírez Reyes, Eliseo Morales Castro, Arturo Sanabria Landazábal, Néstor Juan 2322-956X Universidad Autonoma del Caribe General Earth and Planetary Sciences General Environmental Science http://dx.doi.org/10.15665/dem.v18i(1).2246 <jats:p>Different prediction models are explored to analyze the performance of the Mexican Stock Exchange (PQI) after the 2008 crisis. These models have demonstrated a good prognostic capacity for both multivariable and univariable approaches given their non-parametric characteristics. The selected variables were: Dow Jones Industrial Average Index (DJIA), CPI, International Reserves (IR), CETES28, USDMX exchange rate, (M1) and the sovereign default risk of Mexico (MRDS). The models were evaluated with MAPE and compared with linear regression models (LR) and neural networks (NN). The results show that the models have a similar performance according to the percentages of error they presented.</jats:p> Mexican Stock Exchange Performance after the Crisis of 2008: Application of Data Mining Dimensión Empresarial |
doi_str_mv |
10.15665/dem.v18i(1).2246 |
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Universidad Autonoma del Caribe, 2020 |
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Universidad Autonoma del Caribe |
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title |
Mexican Stock Exchange Performance after the Crisis of 2008: Application of Data Mining |
title_unstemmed |
Mexican Stock Exchange Performance after the Crisis of 2008: Application of Data Mining |
title_full |
Mexican Stock Exchange Performance after the Crisis of 2008: Application of Data Mining |
title_fullStr |
Mexican Stock Exchange Performance after the Crisis of 2008: Application of Data Mining |
title_full_unstemmed |
Mexican Stock Exchange Performance after the Crisis of 2008: Application of Data Mining |
title_short |
Mexican Stock Exchange Performance after the Crisis of 2008: Application of Data Mining |
title_sort |
mexican stock exchange performance after the crisis of 2008: application of data mining |
topic |
General Earth and Planetary Sciences General Environmental Science |
url |
http://dx.doi.org/10.15665/dem.v18i(1).2246 |
publishDate |
2020 |
physical |
|
description |
<jats:p>Different prediction models are explored to analyze the performance of the Mexican Stock Exchange (PQI) after the 2008 crisis. These models have demonstrated a good prognostic capacity for both multivariable and univariable approaches given their non-parametric characteristics. The selected variables were: Dow Jones Industrial Average Index (DJIA), CPI, International Reserves (IR), CETES28, USDMX exchange rate, (M1) and the sovereign default risk of Mexico (MRDS). The models were evaluated with MAPE and compared with linear regression models (LR) and neural networks (NN). The results show that the models have a similar performance according to the percentages of error they presented.</jats:p> |
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author | Ramírez Reyes, Eliseo, Morales Castro, Arturo, Sanabria Landazábal, Néstor Juan |
author_facet | Ramírez Reyes, Eliseo, Morales Castro, Arturo, Sanabria Landazábal, Néstor Juan, Ramírez Reyes, Eliseo, Morales Castro, Arturo, Sanabria Landazábal, Néstor Juan |
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container_title | Dimensión Empresarial |
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description | <jats:p>Different prediction models are explored to analyze the performance of the Mexican Stock Exchange (PQI) after the 2008 crisis. These models have demonstrated a good prognostic capacity for both multivariable and univariable approaches given their non-parametric characteristics. The selected variables were: Dow Jones Industrial Average Index (DJIA), CPI, International Reserves (IR), CETES28, USDMX exchange rate, (M1) and the sovereign default risk of Mexico (MRDS). The models were evaluated with MAPE and compared with linear regression models (LR) and neural networks (NN). The results show that the models have a similar performance according to the percentages of error they presented.</jats:p> |
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spelling | Ramírez Reyes, Eliseo Morales Castro, Arturo Sanabria Landazábal, Néstor Juan 2322-956X Universidad Autonoma del Caribe General Earth and Planetary Sciences General Environmental Science http://dx.doi.org/10.15665/dem.v18i(1).2246 <jats:p>Different prediction models are explored to analyze the performance of the Mexican Stock Exchange (PQI) after the 2008 crisis. These models have demonstrated a good prognostic capacity for both multivariable and univariable approaches given their non-parametric characteristics. The selected variables were: Dow Jones Industrial Average Index (DJIA), CPI, International Reserves (IR), CETES28, USDMX exchange rate, (M1) and the sovereign default risk of Mexico (MRDS). The models were evaluated with MAPE and compared with linear regression models (LR) and neural networks (NN). The results show that the models have a similar performance according to the percentages of error they presented.</jats:p> Mexican Stock Exchange Performance after the Crisis of 2008: Application of Data Mining Dimensión Empresarial |
spellingShingle | Ramírez Reyes, Eliseo, Morales Castro, Arturo, Sanabria Landazábal, Néstor Juan, Dimensión Empresarial, Mexican Stock Exchange Performance after the Crisis of 2008: Application of Data Mining, General Earth and Planetary Sciences, General Environmental Science |
title | Mexican Stock Exchange Performance after the Crisis of 2008: Application of Data Mining |
title_full | Mexican Stock Exchange Performance after the Crisis of 2008: Application of Data Mining |
title_fullStr | Mexican Stock Exchange Performance after the Crisis of 2008: Application of Data Mining |
title_full_unstemmed | Mexican Stock Exchange Performance after the Crisis of 2008: Application of Data Mining |
title_short | Mexican Stock Exchange Performance after the Crisis of 2008: Application of Data Mining |
title_sort | mexican stock exchange performance after the crisis of 2008: application of data mining |
title_unstemmed | Mexican Stock Exchange Performance after the Crisis of 2008: Application of Data Mining |
topic | General Earth and Planetary Sciences, General Environmental Science |
url | http://dx.doi.org/10.15665/dem.v18i(1).2246 |