Become a sponsor to Daniel P. Palomar
I am a Professor at HKUST focusing on practical optimization methods. I am an author, co-author, and maintainer of several R packages related to financial data modeling (e.g., fitHeavyTail, imputeFin) and portfolio design/backtesting (e.g., riskParityPortfolio, sparseIndexTracking, portfolioBacktest).
Check my book A Signal Processing Perspective of Financial Engineering and my monograph Optimization Methods for Financial Index Tracking.
For details on my research check my personal website.
1 sponsor has funded dppalomar’s work.
Featured work
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dppalomar/sparseIndexTracking
Design of Portfolio of Stocks to Track an Index
HTML 51 -
dppalomar/riskParityPortfolio
Design of Risk Parity Portfolios
R 107 -
dppalomar/portfolioBacktest
Automated Backtesting of Portfolios over Multiple Datasets
R 60 -
dppalomar/imputeFin
Imputation of Financial Time Series with Missing Values and/or Outliers
R 25