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In an era where financial decisions are increasingly data-driven, Financial Econometrics: From Data to Decision offers learners the analytical frameworks and tools required to decode complex financial data. This course introduces the core principles of financial econometrics and guides learners through the process of applying statistical and econometric models to real-world financial problems. Combining theory with hands-on application, the course enables participants to collect, analyze, model, and interpret financial data to enhance decision-making. Learners will engage with forecasting techniques, risk assessment models, and investment evaluation tools that are widelyused in financial markets and institutions. Learning Objectives:Define key concepts and terminology in financial econometrics and time-series analysis. Explain the role of econometric methods in financial data analysis, forecasting, and risk management. Use statistical software to apply econometric techniques to financial datasets. Evaluate the structure, assumptions, and outcomes of econometric models in the context of financial markets. Critically assess the reliability and limitations of model results for risk and investment decision-making. Develop and validate forecasting models that support strategic financial decisions based on empirical data.
