There are 17 repositories under asset-pricing topic.
A list of online resources for quantitative modeling, trading, portfolio management
Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics
Educational notebooks on quantitative finance, algorithmic trading, financial modelling and investment strategy
Additional linear models including instrumental variable and panel data models that are missing from statsmodels.
This repository hosts the source code for the website tidy-finance.org
This repository hosts my reading notes for academic papers.
Reimplementation of Autoencoder Asset Pricing Models (GKX, 2019)
Predicting stock prices using Geometric Brownian Motion and the Monte Carlo method
Foreign Exchange Forecasting Model created for the paper "Can Interest Rate Factors Explain Rate Fluctuations?"
This repository consists several bots encoding various algorithmic trading strategies. The aim here is for absolute beginners in stock trading to get familiar with the various aspects of the market. All you need is basics of statistics and python to understand the underlying metrics and conditions utilized to make decisions. Contributions welcome.
Replication of the 5 Fama-French factors as constructed in their 2015 paper.
A package to sort stocks into portfolios and calculate weighted-average returns.
Code for "Non-Standard Errors in Portfolio Sorts".
Computational data tools for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics
This repository will be used to organize all the codes and notes written on the Empirical asset pricing course given at the school of economics at FGV-SP on 2020 by prof. Marcelo Fernandes.
This project consists of custom built modelling frameworks for pricing equity assets. Through the project's evolution, the framework evolves from a single case Discounted Cash Flow model to an interactive Probability Weighted Discounted Cash Flow model that includes multiple cases, multiple supporting models and is all built in Excel while utilizing the Visual Basic programming language.
In this project, I explore various machine learning techniques including Principal Component Analysis (PCA), Support Vector Machines (SVM), Artificial Neural Networks (ANN), and Sentiment Analysis in an effort to predict the directional changes in exchange rates for a list of developed and developing countries.
Codes to clean data and construct variables for empirical finance.
Routines for the valuation of cross-holdings of financial contracts
Machine Learning in Asset Pricing: Time-Series and Cross-Sectional Forecasting of Excess Equity Returns
In this study, I empirically and statistically investigate the credibility of common asset pricing beliefs using data from S&P 500® constituents from January 2010–December 2020.
Replication of the methodology of Daniel and Titman (1997) for constructing pre-formation and constant-weight allocation Fama-French factors.
A list of online resources for quantitative modeling, trading, portfolio management
Script to perform the asset pricing test of Gibbons, Ross, and Shanken (1989)
The basic implementation of the famous Capital asset pricing model and portfolio assessment based on the Capital Asset Pricing Model.
Repository to perform portfolio sorts for empirical asset pricing
Code to generate all tables and figures of "Dissecting Market Expectations in the Cross-Section of Book-to-Market Ratios", Critical Finance Review (forthcoming).
Historical performance of single-sort investment strategies.
Repository of the 'Pricing under Rough Volatility Models' Student Lab