Data-driven risk-conscious thermoelectric materials discovery
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Updated
Apr 1, 2024 - Python
Data-driven risk-conscious thermoelectric materials discovery
Package to calculate the RIE estimator of a correlation matrix
Simple Modern Portfolio Theory in Python
This module contains quantitative portfolio analysis equations, portfolio back-testing, and asset data organization/cleaning data structures.
A mathematical approach to portfolio allocations. Based on the proposal by Fisher Black and Robert Litterman
Remake repo sebelumnya, yang ini semoga di acc sebagai skripsi UBHARA
Markowitz mean-variance criterion in R
This action runs back tests and generates `returns.csv` and `backtest_results.json` files.
A command line tool to display efficient frontier of a portfolio of selected stocks
Analysing monte-carlo portfolios with modern portfolio theory
A set of Portfolio Specifications for Factors
Conduct PCA on two risky stocks in the tech sector using R software.
Slides for my talk at the Data Science Festival 2017
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