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Modelización Cuantitativa para Finanzas Corporativas

Este es un curso de modelización cuantitativa pensado para su aplicación en el ámbito de finanzas corporativas. En este curso aprenderás cómo explotar de la mejor forma los datos que alimentan a los modelos financieros.

En la "era de los datos", cada vez más las organizaciones cuentan con información que pueden ser explotada para enriquecer la modelización financiera. Apoyándonos en métodos estadísticos y de modelización, en este curso aprenderás a proyectar variables de interés, a realizar predicciones, a medir y a evaluar la implicancia de riesgos. También aprenderás criterios para la toma decisiones, basadas en la evaluación de escenarios con incertidumbre. Aplicaremos herramientas básicas de análisis estadístico, métodos de regresión simple y multivariado, técnicas de series de temporales, y de predicción frente a una gran cantidad de variables explicativas, entre otras herramientas que estudiaremos con el foco en aplicaciones financieras. Implementaremos los modelos más simples en Excel, y ganaremos agilidad en estimaciones más complejas usando R.

Este es el segundo curso de la serie de Finanzas Corporativas ofrecido por la Universidad Austral.

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Syllabus

Proyectando el Escenario Esperado y Escenarios de Riesgo

En este módulo introduciremos la proyección de una variable basándonos en la información disponible sobre esa variable. Analizaremos también cómo las proyecciones afectan nuestras decisiones financieras. Nos apoyaremos en los conceptos de proyección de un escenario esperado, la identificación de escenarios de riesgo, y en cuantificar sus probabilidades de ocurrencia. Utilizaremos para esto herramientas clásicas de la estadística frecuentista: los conceptos de escenario esperado, distribución de probabilidad, y el uso de percentiles.

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Enseña métodos estadísticos y de modelización para proyectar variables, realizar predicciones, medir y evaluar la implicancia de riesgos

Se enfoca en aplicaciones financieras, lo que lo hace relevante para profesionales en este campo

Utiliza herramientas básicas de análisis estadístico, métodos de regresión, técnicas de series temporales y predicción frente a una gran cantidad de variables explicativas

Aplica modelos más simples en Excel y utiliza R para estimaciones más complejas

Es el segundo curso de la serie de Finanzas Corporativas ofrecido por la Universidad Austral, lo que sugiere un enfoque integral en el tema

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Reviews summary

Modelización cuantitativa aplicada a finanzas

Según los estudiantes, el curso "Modelización Cuantitativa para Finanzas Corporativas" es altamente relevante y práctico, ideal para profesionales que buscan aplicar métodos cuantitativos avanzados en el ámbito financiero. Se valora especialmente la claridad en las explicaciones de conceptos complejos como regresión y series de tiempo, así como la integración práctica con R, considerada una herramienta de gran valor añadido para modelizaciones complejas. No obstante, algunos learners advierten que el curso asume un nivel previo significativo en estadística y finanzas, lo que puede hacer el ritmo desafiante para aquellos sin una base sólida.

Excelente habilidad para explicar temas complejos.

"El instructor es un maestro explicando temas difíciles."

"Los métodos de regresión y series de tiempo se explican con claridad."

"Me parece que la explicación de las series de tiempo es muy clara. El equilibrio entre teoría y práctica es adecuado."

Integración valiosa y eficiente para modelos complejos.

"La parte práctica con R es invaluable. Realmente me ayudó a aplicar conceptos complejos."

"Las demos en R son un plus enorme y el uso de R es un gran acierto."

"Gané agilidad en estimaciones más complejas usando R para modelar series de tiempo de una manera eficiente."

Fundamental para finanzas corporativas, herramientas directamente aplicables.

"Muy relevante para mi trabajo en finanzas corporativas."

"La aplicación de modelos cuantitativos a finanzas corporativas es el futuro, y este curso lo aborda de manera muy práctica."

"Cada módulo añade valor y las herramientas en R son directamente aplicables. Imprescindible para analistas financieros."

El ritmo puede ser rápido; algunas áreas podrían profundizarse.

"Me hubiera gustado un poco más de profundidad en los modelos de regularización, pero en general muy satisfecho."

"Me sentí un poco perdido en las últimas semanas con los modelos predictivos."

"Es un curso informativo, pero creo que podría mejorar en la parte de ejercicios prácticos."

Requiere una base sólida en estadística y finanzas.

"Siento que el curso asume un nivel de conocimiento previo en estadística que no todos tienen."

"No es para principiantes. El material es avanzado y a veces la explicación se siente superficial si no vienes con una base muy fuerte."

"Útil si ya tienes una buena base, pero la parte de R fue un poco rápida para mí, que soy principiante."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Modelización Cuantitativa para Finanzas Corporativas with these activities:

Revisar conceptos básicos de estadística

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Repasar los conceptos fundamentales de estadística te ayudará a comprender mejor los métodos y modelos cuantitativos utilizados en este curso.

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Revisar notas o materiales de estudio de cursos anteriores de estadística.
Realizar problemas de práctica de libros de texto o sitios web.

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Career center

Learners who complete Modelización Cuantitativa para Finanzas Corporativas will develop knowledge and skills that may be useful to these careers:

Financial Analyst

Financial Analysts make recommendations to their clients about which financial products they should buy or sell. They analyze data to make predictions about the economy and financial markets. This course can help Financial Analysts by providing them with the quantitative modeling skills they need to make better predictions and recommendations. Those interested in becoming Financial Analysts may find this course's focus on using statistical methods and modeling to support financial decision-making particularly helpful.

See salaries and explore the career path for Financial Analyst

Quantitative Analyst

Quantitative Analysts develop and use mathematical and statistical models to solve problems in the financial industry. They use these models to make predictions about the economy, financial markets, and individual companies. This course can help Quantitative Analysts by providing them with the quantitative modeling skills they need to develop and use more accurate and sophisticated models. Those interested in becoming Quantitative Analysts may find this course particularly helpful due to its emphasis on using R and Excel to implement models.

See salaries and explore the career path for Quantitative Analyst

Actuary

Actuaries use mathematical and statistical models to assess risk and uncertainty. They use these models to make recommendations to insurance companies and other financial institutions about how to price insurance policies and manage risk. This course can help Actuaries by providing them with the quantitative modeling skills they need to develop and use more accurate and sophisticated models. Those interested in becoming Actuaries may find this course particularly helpful due to its emphasis on using statistical methods and modeling to support financial decision-making.

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Data Analyst

Data Analysts collect, clean, and analyze data to identify trends and patterns. They use this information to make recommendations to businesses about how to improve their operations or products. This course can help Data Analysts by providing them with the quantitative modeling skills they need to analyze data more effectively and make better recommendations. Those interested in becoming Data Analysts may find this course helpful due to its focus on using statistical methods and modeling to analyze data.

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Statistician

Statisticians collect, analyze, and interpret data. They use this information to make predictions and recommendations about a wide variety of topics, such as public health, marketing, and finance. This course can help Statisticians by providing them with the quantitative modeling skills they need to analyze data more effectively and make better predictions and recommendations. Those interested in becoming Statisticians may find this course particularly helpful due to its focus on using statistical methods and modeling to analyze data.

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Risk Analyst

Risk Analysts identify and assess risks faced by businesses and organizations. They use this information to develop and implement strategies to mitigate these risks. This course can help Risk Analysts by providing them with the quantitative modeling skills they need to identify and assess risks more effectively and develop more effective mitigation strategies. Those interested in becoming Risk Analysts may find this course particularly helpful due to its focus on using statistical methods and modeling to assess risk.

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Portfolio Manager

Portfolio Managers manage investment portfolios for individuals and institutions. They use their knowledge of financial markets and investment strategies to make decisions about which investments to buy or sell. This course can help Portfolio Managers by providing them with the quantitative modeling skills they need to make better investment decisions. Those interested in becoming Portfolio Managers may find this course particularly helpful due to its emphasis on using statistical methods and modeling to support financial decision-making.

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Investment Analyst

Investment Analysts research and analyze investment opportunities for individuals and institutions. They use their knowledge of financial markets and investment strategies to make recommendations about which investments to buy or sell. This course can help Investment Analysts by providing them with the quantitative modeling skills they need to make better investment recommendations. Those interested in becoming Investment Analysts may find this course particularly helpful due to its focus on using statistical methods and modeling to analyze investment opportunities.

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Financial Modeler

Financial Modelers develop and use financial models to make predictions about the financial performance of businesses and organizations. They use these models to make recommendations about investment decisions, financing decisions, and other financial matters. This course can help Financial Modelers by providing them with the quantitative modeling skills they need to develop and use more accurate and sophisticated models. Those interested in becoming Financial Modelers may find this course particularly helpful due to its focus on using statistical methods and modeling to support financial decision-making.

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Corporate Finance Analyst

Corporate Finance Analysts analyze the financial performance of businesses and organizations. They use this information to make recommendations about investment decisions, financing decisions, and other financial matters. This course can help Corporate Finance Analysts by providing them with the quantitative modeling skills they need to analyze financial performance more effectively and make better recommendations. Those interested in becoming Corporate Finance Analysts may find this course particularly helpful due to its focus on using statistical methods and modeling to analyze financial performance.

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Credit Analyst

Credit Analysts assess the creditworthiness of borrowers. They use this information to make recommendations to lenders about whether or not to lend money to borrowers. This course can help Credit Analysts by providing them with the quantitative modeling skills they need to assess creditworthiness more effectively and make better recommendations. Those interested in becoming Credit Analysts may find this course particularly helpful due to its focus on using statistical methods and modeling to assess risk.

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Insurance Analyst

Insurance Analysts analyze the financial performance of insurance companies. They use this information to make recommendations to investors about whether or not to buy or sell insurance company stocks. This course can help Insurance Analysts by providing them with the quantitative modeling skills they need to analyze financial performance more effectively and make better recommendations. Those interested in becoming Insurance Analysts may find this course particularly helpful due to its focus on using statistical methods and modeling to analyze financial performance.

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Market Research Analyst

Market Research Analysts conduct research to identify and understand the needs of consumers. They use this information to develop and implement marketing strategies. This course can help Market Research Analysts by providing them with the quantitative modeling skills they need to analyze research data more effectively and make better marketing recommendations. Those interested in becoming Market Research Analysts may find this course particularly helpful due to its focus on using statistical methods and modeling to analyze data.

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Operations Research Analyst

Operations Research Analysts use mathematical and statistical models to solve problems in a variety of industries, including manufacturing, healthcare, and transportation. They use these models to make recommendations about how to improve efficiency and productivity. This course can help Operations Research Analysts by providing them with the quantitative modeling skills they need to develop and use more accurate and sophisticated models. Those interested in becoming Operations Research Analysts may find this course particularly helpful due to its emphasis on using statistical methods and modeling to support decision-making.

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Business Analyst

Business Analysts use their knowledge of business processes and technology to help businesses improve their operations. They use a variety of techniques, including quantitative modeling, to analyze business data and make recommendations about how to improve efficiency and productivity. This course can help Business Analysts by providing them with the quantitative modeling skills they need to analyze business data more effectively and make better recommendations. Those interested in becoming Business Analysts may find this course particularly helpful due to its focus on using statistical methods and modeling to support decision-making.

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Reading list

We've selected 14 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Modelización Cuantitativa para Finanzas Corporativas.

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