Asset Pricing under Smooth Ambiguity in Continuous Time

This repository provides illustration for section 5 and appendix B of papar Asset Pricing under Smooth Ambiguity in Continuous Time by Lars Peter Hansen and Jianjun Miao. The lastest version of this paper can be accessed through [this link](#link to be filled).

Check out online demonstration:

This repository is maintained by Suri Chen¹ and Zhenhuan Xie². Contact them if you have any questions.

Prerequisite

Python == 3.8.x, package manager such as pip, and jupyter notebook to checkout the notebooks.

To go to the documentation of this project, please go to: Asset Pricing under Smooth Ambiguity in Continuous Time.

This project has been tested in an environment with

Python == 3.8.8 and jupyter notebook == 6.4.5

Acessing our project

I. To try the jupyter notebook on Google Colab:

II. To store the notebook as well as codes in your local machine. You can do this by following steps below:

1. Open a Windows command prompt, Mac terminal or Linux terminal and change into the folder you would like to store the files.

   • You can do this using the command cd in the command prompt (on Windows) or terminal (on Mac and Linux).
     • For example, running cd 'C:\Users\username\python' (don’t forget '' around the path name to use an absolute path) would lead me to my designated folder.

   cd [folder path name]

2. Clone the github repository for the paper

   • If you don’t have github installed, try installing it from this page: https://git-scm.com/download.
   • You can do this by running below in the command prompt:

   git clone https://github.com/SuriChen1028/PortfolioChoice.git

3. Change directories into the ‘Wrestling’ folder and install the required packages for the current user or your initiated virtual environment:

   cd PortfolioChoice
   pip install -r requirements.txt

4. Access the notebooks, run the following under the folder PortfolioChoice/:

   jupyter notebook

Footnotes

1. shiruich@uchicago.edu ↩

2. zhenhuanxie@uchicago.edu ↩