Name: Christian Satzky
Type: User
Company: sharelab.com
Bio: Statistical programmer/financial economist interested in quantitative market risk and empirical asset pricing. My projects are fully reproducible.
Location: Hong Kong, Germany, UK
Blog: christiansatzky.com
Christian Satzky's Projects
In this article, I present methods to efficiently estimate the price and the probability of exercise for vanilla and exotic options in R. In addition, I compare the empirical delta between European and average rate Asian options.
Use this template if you need a quick developer / data science portfolio! Based on a Minimal Jekyll theme for GitHub Pages.
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.
Traditionally, volatility is modeled using parametric models. This project focuses on predicting EUR/USD volatility using more flexible, machine-learning methods.
A collection of stock market resources and tools
In this article, I present a simple, macroeconomic pricing model for the silver commodity. I construct a statistical fair-value indicator for the silver spot price using recent U.S. data.
Yeoman website