sriramya1409 Goto Github PK

all-aboard

Onboarding guide for research and analysis

arima-lstm-hybrid-corrcoef-predict

Applied an ARIMA-LSTM hybrid model to predict future price correlation coefficients of two assets

awesome-quant

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

behavioral_heterogeneity

Replication data and code for "Structural Estimation of Behavioral Heterogeneity"

crosssection

Code to accompany our paper Chen and Zimmermann (2020), "Open source cross-sectional asset pricing"

dafn

data_bootcamp

Materials for a course at NYU Stern using Python to study economic and financial data.

dawp

Derivatives Analytics with Python (Wiley Finance)

dermanpapers

Notebooks that replicate original quantitative finance papers from Emanuel Derman

ec240a

Course materials for Ec240a "Econometrics" at UC Berkeley.

econ-2125-8013

ECON2125/8013 course files

econometric_theory_slides

Slides for A Primer in Econometric Theory

econometrics-labs

Graduate level econometrics labs in Python/R

finance-courses

Notes and examples about Portfolio Construction and Analysis with Python (Jupyter notebooks)

financeops

Research in investment finance with Python Notebooks

financial-machine-learning

A curated list of practical financial machine learning (FinML) tools and applications in Python (by @firmai)

financial-models-numerical-methods

Collection of notebooks about quantitative finance, with interactive python code.

first-file

googlefinance

Python module to get real-time stock data from Google Finance API

gre_prep

This is a guide for how one can prepare for GRE within a month's duration.

gs-quant

Python toolkit for quantitative finance

machine-learning-and-ai-in-trading

Applying Machine Learning and AI Algorithms applied to Trading for better performance and low Std.

microeconometrics

introductory course to microeconometrics on the graduate level

ml-in-equity-prediction

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

mlfinlab

MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.

montecarlomethodsinfinance

iversity course -- python implementation

mostly-harmless-replication

Replication of tables and figures from "Mostly Harmless Econometrics" in Stata, R, Python and Julia.

multi-class-text-classification-cnn

Classify Kaggle Consumer Finance Complaints into 11 classes. Build the model with CNN (Convolutional Neural Network) and Word Embeddings on Tensorflow.

nyu2020

This is the course material for my 2020 Bayesian inference class at NYU.

nyu_macro_fall_2018

Course notes for the first half of ECON-GA 1025 – Macroeconomic Theory I, Fall Semester 2018