11 Financial Econometrics with R
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11.1 Linear Models (OLS)
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11.1.1 Simulating a Linear Model
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11.1.2 Estimating a Linear Model
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11.1.3 Statistical Inference in Linear Models
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11.2 Generalized Linear Models (GLM)
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11.2.1 Simulating a GLM Model
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11.2.2 Estimating a GLM Model
You reached the end of the online version of Analyzing Financial and Economic Data with R. The full content of the book can be acquired at Amazon for less than ten dollars. Purchasing this book is a great way of supporting this and other projects of the author. If you are satisfied with the content, please leave your feedback at Amazon or by email (marceloperlin@gmail.com). The book is a lifelong project and I’ll keep improving it based on the received feedback.
11.3 Panel Data Models
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11.3.1 Simulating Panel Data Models
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11.3.2 Estimating Panel Data Models
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11.4 Arima Models
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11.4.1 Simulating Arima Models
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11.4.2 Estimating Arima Models
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11.4.3 Forecasting Arima Models
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11.5 GARCH Models
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11.5.1 Simulating Garch Models
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11.5.2 Estimating Garch Models
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11.5.3 Forecasting Garch Models
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11.6 Dealing with Several Models
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11.6.1 Using tapply() and sapply()
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11.6.2 Using by()
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11.6.3 Using dplyr::group_by()
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11.7 Exercises
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