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shizelong1985's Projects

ml-hft icon ml-hft

High frequency trading (HFT) strategies built for futures using machine learning and deep learning techniques

ml-in-equity-prediction icon ml-in-equity-prediction

My codework for my economics undergraduate thesis titled "Empirical Asset Pricing via Deep Learning"

ml_yield_erl icon ml_yield_erl

Code for replicating "Machine learning methods for crop yield prediction and climate change impact assessment in agriculture", Environmental Research Letters, 2018

mle-srisk icon mle-srisk

This repository contains the codes for the paper "Machine-Learning-enhanced Systemic Risk Measure: A Two-Step Supervised Learning Approach" (by R. Liu and C.S. Pun)

mlecon icon mlecon

Machine Learning for Economic Modeling

mlrtime icon mlrtime

A Stata package for running machine learning analyses in R

mmidas icon mmidas

Multivariate Mixed Frequency Data Sampling Model, an extension of Ghysels (2008) single variable MIDAS.

models-by-example icon models-by-example

各种实证方法的R程序By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.

mp_highfrequencyuk icon mp_highfrequencyuk

Replication codes for the UK VAR identified with high frequency monetary policy surprises in Cesa-Bianchi, Thwaites, Vicondoa (2020, EER)

mpr icon mpr

Replication fles for numerical solution in "Monetary Policy, Redistribution, and Risk Premia"

msvartoolbox icon msvartoolbox

A toolbox for common tasks in Markov-Swtiching VAR analysis

mtbook icon mtbook

《机器翻译:统计建模与深度学习方法》肖桐 朱靖波 著 - Machine Translation: Statistical Modeling and Deep Learning Methods

mtvgarch icon mtvgarch

R Package: Multiplicitive tv-garch object for analysing time-varying time series with smooth transitions

multibreak icon multibreak

Implements the multivariate time series break detection of Bai, Lumsdaine and Stock (1998)

multiplebubbles icon multiplebubbles

:exclamation: This is a read-only mirror of the CRAN R package repository. MultipleBubbles — Test and Detection of Explosive Behaviors for Time Series

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