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R package for the Synthetic Control Using Lasso (SCUL) estimator from Hollingsworth and Wing (2020)
This is the codes for "Spatially Clustered Varying Coefficient Model".
Stochastic discount factor model for private equity fund level panel data
Computing wealth consumption ratios and stochastic discount factors under smooth recursive utility
sdid -- Synthetic Difference in Differences for Stata
Spatial Dynamic Panel Data models
M-estimation for threshold spatial dynamic panel data model
:exclamation: This is a read-only mirror of the CRAN R package repository. sdpdth — M-Estimator for Threshold Spatial Dynamic Panel Data Model
R package for seasonal adjustment of high frequency or irregular frequency data
Semi-Dynamic Multi-Factor Multi-Cumulant estimation
Semiparametric adaptive estimation of the GARCH model using Matlab
Repository of data, code and scripts to generate results in Lee, et al. (2018) JASA-ACS paper.
Paper and code analyzing and com动态因子markov模型paring the performance of a hidden markov model and neural network for predicting economic regime changes.
Autoencoder-Asset-Pricing-Models
Interactive guide to Auclert, Bardóczy, Rognlie, and Straub (2019): "Using the Sequence-Space Jacobian to Solve and Estimate Heterogeneous-Agent Models".
Econometrica-version Sequence-Jacobian Method for HANK
Project repository for SFM1 class in semester 2019-2020
Simulating Heterogeneous Agents with Finance
Short-term momentum trading strategy implemented for the lecture "Systematic risk premia strategies traded at hedge funds" at University of Zurich, FS 2018.
Instructional materials for econometrics short courses
Provides nonparametric Steinian shrinkage estimators of the covariance matrix that are suitable in high dimensional settings, that is when the number of variables is larger than the sample size.
Replication Code for Shu, Chong 2019 "Endogenous Risk-Exposure and Systemic Instability"
A set of agent-based and network tools that models, analyses and simulates interbank and other financial networks.
Scikit-learn compatible estimation of general graphical models
https://patrick-weiss.github.io/slides-useR2022/
This code accompanies the the paper Slow Momentum with Fast Reversion: A Trading Strategy Using Deep Learning and Changepoint Detection (https://arxiv.org/pdf/2105.13727.pdf).
Smart Beta and Portfolio Optimization
Built a smart beta portfolio and compared it to a benchmark index by calculating the tracking error. Built a portfolio using quadratic programming to optimize the weights..
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.