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Project Citation: 

Bollerslev, Tim, Li, Jia, and Ren, Yuexuan. Code for: Optimal Inference for Spot Regressions. Nashville, TN: American Economic Association [publisher], 2024. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2024-02-14. https://doi.org/10.3886/E192481V1

Project Description

Summary:  View help for Summary This replication package contains the code for replicating all simulation and empirical results in the accompanying paper "Optimal Inference for Spot Regressions."
Funding Sources:  View help for Funding Sources Singapore Ministry of Education (22-SOE-SMU-016)

Scope of Project

Subject Terms:  View help for Subject Terms high frequency data; beta; optimal estimation; leveraged ETFs; event study
JEL Classification:  View help for JEL Classification
      C14 Semiparametric and Nonparametric Methods: General
      C22 Single Equation Models; Single Variables: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
      C58 Financial Econometrics
      G14 Information and Market Efficiency; Event Studies; Insider Trading
Geographic Coverage:  View help for Geographic Coverage USA
Time Period(s):  View help for Time Period(s) 1/1/2018 – 12/31/2022
Collection Date(s):  View help for Collection Date(s) 1/1/2018 – 12/31/2022
Universe:  View help for Universe Index Exchange-Traded Funds (ETF) traded in the U.S. stock market. 
Data Type(s):  View help for Data Type(s) program source code

Methodology

Data Source:  View help for Data Source TICKDATA.COM
Unit(s) of Observation:  View help for Unit(s) of Observation One-minute stock returns

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