Research

Research John Cochrane Research John Cochrane

A Brief Parable of Overdifferencing 

January 2012. This is a short note, showing how money demand estimation works very well in levels or long (4 year) differences, but not when you first-difference the data. It shows why we often want to run OLS with corrected standard errors rather than GLS or ML, and it cautions against the massive differencing, fixed effects and controls used in micro data. It's from a PhD class, but I thought the reminder worth a little standalone note.

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January 2012. This is a short note, showing how money demand estimation works very well in levels or long (4 year) differences, but not when you first-difference the data. It shows why we often want to run OLS with corrected standard errors rather than GLS or ML, and it cautions against the massive differencing, fixed effects and controls used in micro data. It's from a PhD class, but I thought the reminder worth a little standalone note.

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Research John Cochrane Research John Cochrane

Continuous time

Note covering dz, dt, stochastic integrals, and how to do all of Asset Pricing Chapter 1 in continuous time.

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Note covering dz, dt, stochastic integrals, and how to do all of Asset Pricing Chapter 1 in continuous time.

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Research Juliann Klein Research Juliann Klein

Investments notes

Notes for MBA investments classes. Summary of background (statistics, regression, time series, matrices, maximization) and a concise treatment of some of the standard topics (bond notation and expectations hypothesis, bond pricing)

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Notes for MBA investments classes. Summary of background (statistics, regression, time series, matrices, maximization) and a concise treatment of some of the standard topics (bond notation and expectations hypothesis, bond pricing)

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