Advanced Differnce-in-Differences Mixtape Track taught by Jonathan Roth

Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.

Doing Applied Economics Research Mixtape Track taught by Mark Anderson and Daniel Rees

Julia programming code for Risk Theory

Mono repo for the PhD course AI for Business Research (DSME 6635, S24)

python implementation of Peng Ding's "First Course in Causal Inference"

Mono repo for the PhD course AI for Business Research at Shanghai Jiao Tong University, Antai College of Economics and Management (Summer 2024)

Repo for Yale Applied Empirical Methods PHD Course

(Advanced) Applied Econometrics

Machine Learning and Heterogeneous Effects taught by Brigham Frandsen

This repo contains the updated version of all the assignments/labs (done by me) of Deep Learning Specialization on Coursera by Andrew Ng. It includes building various deep learning models from scra…

Here you can find a Rcodes and Bibliography related to a risk theory appliaction using Ruin Theory, Colective Risk Model, and Ruin Probabilities.

Difference-in-Differences

Hands-on Python for Finance published by Packt.

Various risk analysis projects in R, applying extreme value theory, copula modeling, and value-at-risk backtesting to real world stock data.

Reinforce Your Career: Machine Learning in Finance. Extend your expertise of algorithms and tools needed to predict financial markets.

Computing assignments for "Portfolio Theory and Risk Management" course at UChicago

360 view on ai/ml/dl applications

PHP trading bot framework