QuantEcon / QuantEcon/lecture-python-intro
Add a lecture on asset prices
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Nobody has claimed this yet.
new-lecture
- Dominant language
- Jupyter Notebook
- Stars
- 65
- Forks
- 32
- Avg merge
- 4d 14h
- Merged PRs (30d)
- 6
Description
Show
- long run trends
- returns on different asset classes
- higher expected returns usually means higher volatility -- suggests risk aversion
- how predictable are returns?
- share prices vs business cycles --- leading indicator?
Contributor guide
No contributing guide indexed for this repository
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
The issue names no notebook, file, or test. Start by reviewing the repository's existing lecture structure and locating where a lecture on asset prices would belong; done means a lecture covers long-run trends, asset-class returns, risk and volatility, return predictability, and share prices versus business cycles.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter-notebook
- Domain
- content, documentation
- Issue type
- Documentation
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 25/100