The Mexican Sustainable Index with the composition at its beginning is less volatile and offers less return than the Mexican Exchange
Financial economic research has extensively documented the fact that the impact of the arrival of negative news on stock prices is more intense than that of the arrival of positive news. The authors of the present study followed an innovative approach based on the utilization of two artificial intelligence algorithms to test that asymmetric response effect. Methods: The first algorithm was used to web-scrape the social network Twitter to download the top tweets of the 24 largest market-capitalized publicly traded companies in the world during the last decade. A second algorithm was then used to analyze the contents of the tweets, converting that information into social sentiment indexes and building a time series for each considered company. After comparing the social sentiment indexes’ movements with the daily closing stock price of individual companies using transfer entropy, our estimations confirmed that the intensity of the impact of negative and positive news on the daily stock prices is statistically different, as well as that the intensity with which negative news affects stock prices is greater than that of positive news. The results support the idea of the asymmetric effect that negative sentiment has a greater effect than positive sentiment, and these results were confirmed with the EGARCH model.
This work measures the sensitivity of the residual volatility of the risk premiums of various Real Estate Investment Trusts (REITs) sectors to systemically important economic events between January 2, 1985, and December 30, 2016. To this end, the residual yields of the REITs are calculated and, with them, a GARCH (1,1) model is estimated, with dummy variables that identify eleven sub-periods delimited by systemic events that occurred in the American economy. The volatility of residual yields is found to decrease with the SP500 risk premium, and increases only for some sectors with increases in Treasury Bond yields (T-Bills). Similarly, residual yield volatility increased in some periods (e.g., after the Black Monday crash, the low-quality mortgage crisis, and the Great Recession), but did not during the period of stock market collapse caused by companies in the "new economy" (known as the dot-com bubble). Knowledge of these stylized facts opens up new risk management possibilities for those investors considering in including these alternative investments in their portfolios.
El objetivo del estudio es analizar la relación entre la inversión a largo plazo y la inversión de capital de trabajo, para lo cual se utiliza el método de mÃnimos cuadrados generalizados para paneles con corrección de errores por hetercedasticidad y autocorrelación especÃfica por panel. A partir de lo anterior se encuentra que la inversión en activos a largo plazo en las empresas que cotizan en la bolsa de 7 de los principales paÃses latinoamericanos está precedida por aumentos en el capital de trabajo, lo que fortalece la hipótesis de que se da en respuesta a mejoras en las oportunidades de negocios. Esta relación es estadÃsticamente significativa en lo general y en empresas que tienen alto o mediano apalancamiento, más no en las de bajo.
EN ESTE TRABAJO SE EVALÚA EL VALOR DE RELEVANCIA ECONOMÉTRICO DE LAS VARIABLES CONTABLES MEXICANAS. EL PROPÓSITO DEL ESTUDIO ES PROBAR EL PODER EXPLICATIVO DE LAS VARIABLES CONTABLES EN EL PRECIO DE MERCADO DE LAS ACCIONES DE LAS EMPRESAS QUE COTIZAN EN LA BOLSA MEXICANA DE VALORES, DE 1991 A 2003. EL VALOR DE RELEVANCIA SE ANALIZA UTILIZANDO EL MODELO DE OHLSON (1995) DE LA LÍNEA DE INVESTIGACIÓN CONTABLE BASADA EN EL COMPORTAMIENTO DEL MERCADO. LA METODOLOGÍA SEGUIDA ES CONFORME A LO DESCRITO EN COLLINS, MAYDEW, AND WEISS (1997). LOS RESULTADOS ECONOMÉTRICOS, UTILIZANDO EL ANÁLISIS DE DATOS DE PANEL, PROVEEN EVIDENCIA DE QUE EL CAPITAL CONTABLE Y LAS UTILIDADES SON RELEVANTES PARA LAS EMPRESAS MEXICANAS PÚBLICAS Y ÚNICAMENTE EL CAPITAL CONTABLE ES RELEVANTE UTILIZANDO EL ANÁLISIS DE REGRESIÓN DE MÍNIMOS CUADRADOS ORDINARIOS. ADEMÁS DE LOS RESULTADOS OBTENIDOS CON EL MODELO DE OHLSON, SE PRESENTA EVIDENCIA DE UN MODELO ALTERNATIVO QUE BRINDA MAYOR PODER EXPLICATIVO. ESTE MODELO ALTERNATIVO AGREGA COMO TERCERA VARIABLE EL FLUJO OPERATIVO POR ACCIÓN Y SE PROBÓ TANTO PARA LA MUESTRA GENERAL COMO PARA LA CLASIFICACIÓN DE EMPRESAS DE ÍNDOLE TANGIBLE O INTANGIBLE (DE ACUERDO CON SU ACTIVIDAD ECONÓMICA), OBTENIÉNDOSE MEJORES ESTADÍSTICOS QUE EL MODELO DE OHLSON ORIGINAL.
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