factor-models
There are 24 repositories under factor-models topic.
purvasingh96/AI-for-Trading
📈This repo contains detailed notes and multiple projects implemented in Python related to AI and Finance. Follow the blog here: https://purvasingh.medium.com
quantbelt/ib_fundamental
Interactive Brokers Fundamental data for humans
gzj1992/Portfolio_Construction
Portfolio Construction Functions under the Basic Mean_Variance Model, the Factor Model and the Black_Litterman Model.
deruncie/MegaLMM
R package for fitting high-dimensional multivariate linear mixed effect models
bioFAM/mofax
Work with trained factor models in Python
oronimbus/tactical-asset-allocation
Implements different approaches to tactical and strategic asset allocation
nico-corthorn/tba-investments-etl
ESG investment portfolio system
lakshmiDRIP/DROP-Asset-Allocation
DRIP Asset Allocation is a collection of model libraries for MPT framework, Black Litterman Strategy Incorporator, Holdings Constraint, and Transaction Costs.
wecarsoniv/augmented-pca
Repository for the AugmentedPCA Python package.
a91quaini/intrinsicFRP
An R package for Factor Model Asset Pricing
gionikola/DynamicFactorModeling.jl
Julia package for simulating and estimating multi-level/hierarchical dynamic factor models (HDFMs).
haeran-cho/fnets
Implementation of the FNETS methodology proposed in Barigozzi, Cho and Owens (2024) for network estimation and forecasting of high-dimensional time series
cateschi/High_dimensional_state_space_model
R codes and dataset for the estimation of the high-dimensional state space model proposed in the paper "A dynamic factor model approach to incorporate Big Data in state space models for official statistics" with Franz Palm, Stephan Smeekes and Jan van den Brakel.
yuz0101/QuantFin
A toolkit for asset pricing research
bmarroc/finance
Jupyter notebooks implementing Finance projects
shounakch/FABLE
Code for implementing Factor Analysis with BLEssing of dimensionality (FABLE).
rwuebker/quant_modeling
A repo to explore quantitative finance models, libraries and tooling.
a91quaini/FactorMAP
Estimation and inference for factor models in Asset Pricing.
dx-li/MaVaTS
matrix-valued time series methods
miindisponi99/Statistical-Factor-Model
Implemented a statistical factor model using Asymptotic Principal Component Analysis (APCA) and various weighting strategies to improve the performance of a basket of Italian stocks relative to a benchmark (FTSEMIB)
alexwky/missLASSO
Penalized regression for multiple types of many features with missing data using expectation-maximization (EM) algorithm.
buddhikaum/InferringLatentStates
This is the code for our publication Inferring Latent States in a Network Influenced by Neighbor Activities: An Undirected Generative Approach, IEEE International Conference on Acoustics, Speech and Signal Processing, New Orleans, LA, 2017
PLagat/Asset-Pricing
Estimating CAPM Betas of an equally weighted portfolio of Apple and Google from 2016 to 2021
neuroquant/conf2017-factormodel
Approximate Factor Models for Artifact Free Correlation Estimation