Course Modules

Syllabus

Syllabus Syllabus

syllabus2021-2022.pdf Attachment

syllabus2021-2022.pdf syllabus2021-2022.pdf 1

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Topic 1: ARMA Models, Autocorrelation, Prediction and Impulse-Response Functions

Topic 1: ARMA Models, Autocorrelation, Prediction and Impulse-Response Functions Topic 1: ARMA Models, Autocorrelation, Prediction and Impulse-Response Functions

lecture1 (updated on Sept. 24 with typos corrected) Attachment

lecture1 (updated on Sept. 24 with typos corrected) lecture1 (updated on Sept. 24 with typos corrected) 1

attachment 508019 0

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Class Assignment 1 Assignment

Class Assignment 1 Class Assignment 1 100 2

assignment 508020 1

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Context Module Sub Header

References 3

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Context Module Sub Header

TSA Chapter 1-4, 10 4

context_module_sub_header 465667 0

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John Cochrane’s Notes on Time Series Analysis, Chapter 1-5 External Url

John Cochrane’s Notes on Time Series Analysis, Chapter 1-5 John Cochrane’s Notes on Time Series Analysis, Chapter 1-5 5

external_url 465668 0

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Context Module Sub Header

Quantitative Economics with Python by Thomas J. Sargent and John Stachurski 6

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AR1 External Url

AR1 AR1 7

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Linear State Space Model External Url

Linear State Space Model Linear State Space Model 8

external_url 465673 0

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Orthogonal Projections and Their Applications External Url

Orthogonal Projections and Their Applications Orthogonal Projections and Their Applications 9

external_url 465674 0

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Modelling covid19 External Url

Modelling covid19 Modelling covid19 10

external_url 465675 0

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Thomas J. Sargent: The AI Frontier of Economic Theory Attachment

Thomas J. Sargent: The AI Frontier of Economic Theory Thomas J. Sargent: The AI Frontier of Economic Theory 11

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IRENE ALDRIDGE: Big Data vs. Machine Learning vs. Artificial Intelligence (AI) External Url

IRENE ALDRIDGE: Big Data vs. Machine Learning vs. Artificial Intelligence (AI) IRENE ALDRIDGE: Big Data vs. Machine Learning vs. Artificial Intelligence (AI) 12

external_url 465669 0

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Hal R. Varian: HOW TO BUILD AN ECONOMIC MODEL IN YOUR SPARE TIME Attachment

Hal R. Varian: HOW TO BUILD AN ECONOMIC MODEL IN YOUR SPARE TIME Hal R. Varian: HOW TO BUILD AN ECONOMIC MODEL IN YOUR SPARE TIME 13

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Michael Spence: Winners and Losers of the Pandemic Economy External Url

Michael Spence: Winners and Losers of the Pandemic Economy Michael Spence: Winners and Losers of the Pandemic Economy 14

external_url 465670 0

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Topic 2: Wold representation, VAR and Kalman Filter

Topic 2: Wold representation, VAR and Kalman Filter Topic 2: Wold representation, VAR and Kalman Filter

lecture2 updated 12/02 Attachment

lecture2 updated 12/02 lecture2 updated 12/02 1

attachment 548582 0

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Context Module Sub Header

References 2

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Context Module Sub Header

TSA Chapter 4,5,7, 11, 13 3

context_module_sub_header 465678 0

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John Cochrane’s Notes on Time Series Analysis, Chapter 6-7 External Url

John Cochrane’s Notes on Time Series Analysis, Chapter 6-7 John Cochrane’s Notes on Time Series Analysis, Chapter 6-7 4

external_url 465679 0

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14. Linear State Space Models — Quantitative Economics with Python.pdf Attachment

14. Linear State Space Models — Quantitative Economics with Python.pdf 14. Linear State Space Models — Quantitative Economics with Python.pdf 5

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23. A First Look at the Kalman Filter — Quantitative Economics with Python.pdf Attachment

23. A First Look at the Kalman Filter — Quantitative Economics with Python.pdf 23. A First Look at the Kalman Filter — Quantitative Economics with Python.pdf 6

attachment 537294 0

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64. Maximum Likelihood Estimation — Quantitative Economics with Python.pdf Attachment

64. Maximum Likelihood Estimation — Quantitative Economics with Python.pdf 64. Maximum Likelihood Estimation — Quantitative Economics with Python.pdf 7

attachment 537297 0

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Topic 3: Spectral Analysis

Topic 3: Spectral Analysis Topic 3: Spectral Analysis

lecture3 updated 12/02 Attachment

lecture3 updated 12/02 lecture3 updated 12/02 1

attachment 548468 0

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Context Module Sub Header

References 2

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Context Module Sub Header

TSA Chapter 6 3

context_module_sub_header 537301 0

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27. Covariance Stationary Processes Spectral Analysis— Advanced Quantitative Economics with Python.pdf Attachment

27. Covariance Stationary Processes Spectral Analysis— Advanced Quantitative Economics with Python.pdf 27. Covariance Stationary Processes Spectral Analysis— Advanced Quantitative Economics with Python.pdf 4

attachment 537299 0

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Topic 4: Unit Root and Cointegration

Topic 4: Unit Root and Cointegration Topic 4: Unit Root and Cointegration

lecture4 updated 12/03 Attachment

lecture4 updated 12/03 lecture4 updated 12/03 1

attachment 548786 0

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Reading List Page

Reading List Reading List 2

wiki_page 541596 0

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Cochrane2020dog_critique_CFR.pdf Attachment

Cochrane2020dog_critique_CFR.pdf Cochrane2020dog_critique_CFR.pdf 3

attachment 545207 0

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Topic 5: GMM

Topic 5: GMM Topic 5: GMM

lecture5.pdf Attachment

lecture5.pdf lecture5.pdf 1

attachment 552497 0

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Context Module Sub Header

Reference 2

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Lars Hansen: Generalized Method of Moments Estimation: A Time Series Perspective Attachment

Lars Hansen: Generalized Method of Moments Estimation: A Time Series Perspective Lars Hansen: Generalized Method of Moments Estimation: A Time Series Perspective 3

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Topic 6: Measuring Uncertainty and Long-Run Risk

Topic 6: Measuring Uncertainty and Long-Run Risk Topic 6: Measuring Uncertainty and Long-Run Risk

Lecture 7 Long Run Risk Uncertainty Attachment

Lecture 7 Long Run Risk Uncertainty Lecture 7 Long Run Risk Uncertainty 1

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Lecture 6 Investment Decision Under Uncertainty Attachment

Lecture 6 Investment Decision Under Uncertainty Lecture 6 Investment Decision Under Uncertainty 4

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Lecture 6 Video Uncertainty External Url

Lecture 6 Video Uncertainty Lecture 6 Video Uncertainty 5

external_url 465693 0

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Greenspan, A. (2004): “Risk and Uncertainty in Monetary Policy,” American Economic Review, 94(2), 33–40. External Url

Greenspan, A. (2004): “Risk and Uncertainty in Monetary Policy,” American Economic Review, 94(2), 33–40. Greenspan, A. (2004): “Risk and Uncertainty in Monetary Policy,” American Economic Review, 94(2), 33–40. 6

external_url 555368 0

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Class Assignment

Class Assignment Class Assignment

Class Assignment 3 Assignment

Class Assignment 3 Class Assignment 3 100 1

assignment 552925 1

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solution3(except Q3.e) Attachment

solution3(except Q3.e) solution3(except Q3.e) 2

attachment 561403 0

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Class Assignment 2 Assignment

Class Assignment 2 Class Assignment 2 100 3

assignment 552928 1

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solution2 (except for Q2-4) Attachment

solution2 (except for Q2-4) solution2 (except for Q2-4) 4

attachment 560450 0

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Class Assignment 1 Assignment

Class Assignment 1 Class Assignment 1 100 5

assignment 552927 1

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solution1 (theoretical part) Attachment

solution1 (theoretical part) solution1 (theoretical part) 6

attachment 548552 0

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Solution1 (Empirical part with python code by 夏泽鑫,刘靖枫、谭智豪) Attachment

Solution1 (Empirical part with python code by 夏泽鑫,刘靖枫、谭智豪) Solution1 (Empirical part with python code by 夏泽鑫,刘靖枫、谭智豪) 7

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Presentation Slides on Various Topics

Presentation Slides on Various Topics Presentation Slides on Various Topics

Balietal.pdf Attachment

Balietal.pdf Balietal.pdf 1

attachment 561404 0

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BansalYaron.pdf Attachment

BansalYaron.pdf BansalYaron.pdf 2

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BrennerIzhakian.pdf Attachment

BrennerIzhakian.pdf BrennerIzhakian.pdf 3

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HansenSargent.pdf Attachment

HansenSargent.pdf HansenSargent.pdf 4

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ETF1.pptx Attachment

ETF1.pptx ETF1.pptx 5

attachment 561408 0

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ETF2.pdf Attachment

ETF2.pdf ETF2.pdf 6

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ETF3.pdf Attachment

ETF3.pdf ETF3.pdf 7

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Score at least Must score at least to complete this module item Scored at least Module item has been completed by scoring at least View Must view in order to complete this module item Viewed Module item has been viewed and is complete Mark done Must mark this module item done in order to complete Marked done Module item marked as done and is complete Contribute Must contribute to this module item to complete it Contributed Contributed to this module item and is complete Submit Must submit this module item to complete it Submitted Module item submitted and is complete