Pinned Repositories
-Deep-learning-for-multi-year-ENSO-forecasts-
**Deep learning for multi-year ENSO forecasts** 复现工作相关代码、数据
AACC2019
Source code for writing an RMarkdown article for an Elsevier journal
AEAPP-Metcalf-Stock-2020
Data and code for: Measuring the Macroeconomic Impact of Carbon Taxes
BGVAR
Toolbox for the estimation of Bayesian Global Vector Autoregressions in R.
BLS-CPI-Inflation-Analysis
R script for reading in and analyzing CPI inflation data
brazilianbanks
Data on Brazilian banks and other regulated financial institutions
LOST
The Library of Statistical Techniques: Instructions for Performing Statistics THIS REPO IS MOVING TO https://github.com/LOST-STATS/LOST-STATS.github.io
lost-stats.github.io
Source code for the Library of Statistical Techniques
rnoaa
R interface to many NOAA data APIs
stata2r.github.io
Site for Stata -> R guide
NathalieNF's Repositories
NathalieNF/LOST
The Library of Statistical Techniques: Instructions for Performing Statistics THIS REPO IS MOVING TO https://github.com/LOST-STATS/LOST-STATS.github.io
NathalieNF/Deep-Direct-Reinforcement-Learning-for-Financial-Signal-Representation-and-Trading
A deep learning model for Financial Signal Representation and Trading
NathalieNF/ENSO
Detrending and modeling of NOAA precipitation climate data.
NathalieNF/fecon236
Tools for financial economics. Curated wrapper over Python ecosystem. Source code for fecon235 Jupyter notebooks.
NathalieNF/Food-security-risk-index
A model to construct a Food Security Risk Index (FSRI) based on data of population, Climate, Trade/Economics, and Food stress index to provide a possible solution to predict food security.
NathalieNF/Growth-MachineLearning
"LESSONS FROM PREDICTING GROWTH AND RECESSIONS"
NathalieNF/GVARX-1
Perform Global Vector Autoregression Estimation and Inference
NathalieNF/health-and-economic-impact-of-weather
NathalieNF/Inflation
Tool for core inflation's calculations :money_with_wings:
NathalieNF/MIT808
SOMs to analyse financial/banking crises
NathalieNF/R-in-Finance
This course, taught by Prof.Jerzy in NYU, applies the R programming language to momentum trading, statistical arbitrage (pairs trading), and other active portfolio management strategies. The course implements volatility and price forecasting models, asset pricing and factor models, and portfolio optimization. The course applies machine learning techniques, such as backtesting (cross-validation) and parameter regularization (shrinkage).
NathalieNF/sage_rmd_template
RMarkdown template for submitting papers to SAGE Journals
NathalieNF/Time-series-analysis-of-Inflation-rates-using-ShinyDashboard
This project will aim at studying and analyzing the inflation rates of countries globally. The dataset is a public dataset downloaded from International Monetary Fund(IMF) which consists of the inflation rates of countries from 1980 to 2017 and the projected inflation rates of the countries till 2022. Finally I will be producing a dashboard build in R to visualize and analyze the inflation rates.