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Chapter 7

Chapter 7

Chapter 7. Modelling long-run relationship in finance. Stationarity and Unit Root Testing Why do we need to test for Non-Stationarity?.

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838 views • 71 slides
Econometrics

Econometrics

Econometrics. Chengyuan Yin School of Mathematics. Econometrics. 26. Time Series Data. Modeling an Economic Time Series. Observed y 0 , y 1 , …, y t ,… What is the “sample” Random sampling? The “observation window”. Estimators. Functions of sums of observations Law of large numbers?

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362 views • 26 slides
Econometrics I

Econometrics I

Econometrics I. Professor William Greene Stern School of Business Department of Economics. Econometrics I. Part 25 – Time Series. Modeling an Economic Time Series. Observed y 0 , y 1 , …, y t ,… What is the “sample” Random sampling? The “observation window”. Estimators.

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388 views • 25 slides
A comparison of matrices of time series, with application in dendroclimatology

A comparison of matrices of time series, with application in dendroclimatology

A comparison of matrices of time series, with application in dendroclimatology. Maryann Pirie PhD candidate Department of Statistics and School of Environment University of Auckland. Overview. Key question Data sets Developing the methods Conclusions from simulations

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439 views • 23 slides
previously Definition of a stationary process (A) Constant mean (B) Constant variance

previously Definition of a stationary process (A) Constant mean (B) Constant variance

Properties of time series II. previously Definition of a stationary process (A) Constant mean (B) Constant variance (C) Constant covariance White Noise Process: Example of Stationary Series. Random Walk: Example of Non-stationary Series.

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546 views • 21 slides

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