Skip to content
View Liamsvob's full-sized avatar

Block or report Liamsvob

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
Liamsvob/README.md

Welcome!

Hello there,

My name is Liam Svoboda and I've recently graduated with an MSc. in Finance focusing on Asset and Risk Management at HEC Lausanne with an exchange at Bocconi University.

image

Languages & Tools:

Top Langs

Some libraries I am familiar with:

image image image image image

Some tools I'm proficient in:

image Microsoft Office

Pinned Loading

  1. Empirical-Methods-in-Finance Empirical-Methods-in-Finance Public

    Assignments for the Empirical Methods in Finance class of Spring 2021 with Professor Florian at HEC Lausanne Ielpo

    Python

  2. Advanced-Data-Analytics Advanced-Data-Analytics Public

    Final project for the Advanced Data Analytics class of Spring 2021 with Professor Simon Scheidegger.

    Python 1

  3. Quantitative-Asset-and-Risk-Management Quantitative-Asset-and-Risk-Management Public

    Assignments for the Quantitative Asset and Risk Management class of Spring 2021 with Professor Florian at HEC Lausanne Ielpo

    Python

  4. Quantitative-Macroeconomics Quantitative-Macroeconomics Public

    Final Assignment for the Quantitative Macroeconomics class of Autumn 2019

    MATLAB 1

  5. Statistique-et-Econometrie-Appliquees Statistique-et-Econometrie-Appliquees Public

    Final project for the "Statistique et Econométrie Appliquées" class of Spring 2019

    Stata

  6. Quality-in-Times-of-Insanity Quality-in-Times-of-Insanity Public

    Quality in Times of Insanity: a Study of Quality Factor Investment Strategies in Stressed Markets

    Python