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Estimación de probabilidades representativas del mundo real: importancia de los sesgos conductuales

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  • Ricardo Crisóstomo

Abstract

El estudio muestra cómo separar los sesgos de sentimiento de las expectativas racionales mejora significativamente la consistencia y precisión de las estimaciones probabilísticas. Utilizando datos desde 1994 a 2017, se analizan 15 modelos estocásticos con diferentes preferencias de riesgo y, en todos los casos, se observa que un simple ajuste por sentimiento mejora sustancialmente la capacidad de predicción de los modelos. Los resultados son robustos ante diferentes métodos de evaluación, hipótesis de preferencia de riesgo y calibraciones de sentimiento, demostrando que los ajustes de sentimiento se pueden utilizar de manera eficaz para pronosticar la evolución del precio de los activos. Análisis adicionales confirman que las funciones de densidad representativas del mundo real generan mejoras respecto a densidades recalibradas conforme a errores pasados e incrementan la capacidad predictiva de los modelos en los que la aversión al riesgo se estima de forma dinámica a partir de los precios de las opciones.

Suggested Citation

  • Ricardo Crisóstomo, 2021. "Estimación de probabilidades representativas del mundo real: importancia de los sesgos conductuales," CNMV Documentos de Trabajo CNMV Documentos de Trabaj, CNMV- Comisión Nacional del Mercado de Valores - Departamento de Estudios y Estadísticas.
    • Handle: RePEc:cnv:docutr:dt_73es
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    References listed on IDEAS

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    More about this item

    Keywords

    Sentimiento; estimación de densidades; evaluación de pronósticos; options data; finanzas conductuales;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing

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