yannickkae Goto Github PK
Name: Yannick Kälber
Type: User
Company: Kiel University
Bio: Quantitative Finance
Twitter: YannickKae
Location: Kiel, Germany
Yannick Kälber's Projects
diy-etf-investing
This repository contains an Excel Spreadsheet to maintain & rebalance an ETF Portfolio.
efficient-tests-of-stock-return-predictability
This R code implements the Bonferroni Q test from Yogo and Campbell's (2006) paper "Efficient Tests of Stock Return Predictability."
ensembling-in-semantic-image-segmentation
This repository contains our work on ensembling in semantic image segmentation as part of the Google Research Kaggle competition "Identify Contrails to Reduce Global Warming".
financial-market-regime-classification
Value or Momentum? Comparing Random Forests, Support Vector Machines, and Multi-layer Perceptrons for Financial Time Series Prediction & Tactical Asset Allocation
fund-replication
This repository provides a notebook for checking whether a fund or other security can be replicated by others.
machine-learning-for-sales-forecasting
This code implements a simple neural network to predict the sales of a bakery in Kiel.
monthly-savings-calculator
This Shiny R app is a monthly savings calculator that allows users to calculate the monthly savings rate needed to reach a desired final amount, based on different possible return distributions and risk profiles.
multivariate-forecasting-var-vs.-lstm
VAR vs. LSTM: Multivariate Forecasting of Factor Returns
statistical-learning-based-portfolio-optimization
This R Shiny App utilizes the Hierarchical Equal Risk Contribution (HERC) approach, a modern portfolio optimization method developed by Raffinot (2018).
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