Portfolio Optimization in Python
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Updated
Aug 18, 2026 - C++
Portfolio Optimization in Python
This repository shows the application of PCA technique for risk factor modelling of financial securities.
Text Data Analysis of Financial Reports
This package contains a Rshiny webtool developed to allow the calculation of the metabolic predictors developed by the groups of MOLEPI and LCBC (LUMC), from raw Nightingale Health 1H-NMR metabolomics data.
The dataset presents reference centile data for carotid intima-media thickness as well as four carotid stiffness parameters. The reference percentiles are based on data from the German Health Interview and Examination Survey for Children and Adolescents 2003-2006 (KiGGS). KiGGS started as a cross-sectional study conducted between 2003 and 2006 w...
D3 Dabbler Visualization webpage, scatter plot using data from two different variables.
Visualized 2015 U.S. health survey data to uncover risk factors and patterns associated with diabetes.
A Power BI dashboard for analyzing the systemic impact of smoking on patient organ health built from synthetic patient data to visualize how smoking behavior correlated with organ damage across heart, lungs, liver, and kidneys.
Modelo de factores de riesgo en adolescentes - El Salvador (WHO GSHS 2013)
Determine the most significant protective and risk factors when it comes to identifying the prevalence of cardiovascular disease in a patient
Risk and protective factor related to alcohol and drug use measured in children and paretnsRisk and protective factors related to alcohol and drug use measured in children and parents
Using JavaScript and D3 to create a visualization on BioDiversity
Quant research prototype for building equity long-short signals from SEC 10-K risk disclosures, using deterministic text features, LLM-extracted disclosure changes, sector/size neutralization, and random-baseline validation.
In this repository I used D3 in JavaScript to create a scatter plot where each dot represents each state in the United States of America.
A scatter plot using D3 that represents each state with two of the data variables from data set US Census Bureau as rates of income, obesity, poverty, etc.
Document Protocol Lab: a bounded, evidence-first SEC Item 1A pilot showing how a document-comparison workflow answers, proves, and stops across NVDA, LLY, and KO.
Estimation and forecasting of volatility using Financial Timeseries with Copulas. Includes models like GARCH, EWMA and EqWMA. Market risk management using CVaR, EVT, Risk Factors and Monte Carlo Simulation.
Visualize Risk Factors in 10K Filings
Репозиторий исследовательского проекта, посвящённого анализу факторов риска возникновения сердечно-сосудистых заболеваний
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