• Forecast combination puzzle in the HAR model 

      Clements, Adam; Vasnev, Andrey
      Published 2021
      The Heterogeneous Autoregressive (HAR) model of Corsi (2009) has become the benchmark model for predicting realized volatility given its simplicity and consistent empirical performance. Many modifications and extensions ...
      Open Access
      Working Paper
    • Two-Stage Stochastic and Robust Optimization for Non-Adaptive Group Testing 

      Ho-Nguyen, Nam
      Published 2020-10-28
      We consider the problem of detecting defective items amongst a large collection, by conducting tests of individual or groups of items. Group testing offers improvements over the naive individual testing scheme by potentially ...
      Open Access
      Working Paper
    • Too similar to combine? On negative weights in forecast combination 

      Radchenko, Peter; Vasnev, Andrey; Wang, Wendun
      Published 2020-01-01
      This paper provides the first thorough investigation of the negative weights that can emerge when combining forecasts. The usual practice in the literature is to ignore or trim negative weights, i.e., set them to zero. ...
      Open Access
      Working Paper
    • Higher Moment Constraints for Predictive Density Combinations 

      Pauwels, Laurent; Radchenko, Peter; Vasnev, Andrey
      Published 2020-05-01
      The majority of financial data exhibit asymmetry and heavy tails, which makes forecasting the entire density critically important. Recently, a forecast combination methodology has been developed to combine predictive ...
      Open Access
      Article
    • Python Language Companion to Introduction to Applied Linear Algebra: Vectors, Matrices, and Least Squares 

      Leung, Jessica; Matsypura, Dmytro
      Published 2019-11-13
      This Python Language Companion is drafted as a supplement to the book Introduction to Applied Linear Algebra: Vectors, Matrices, and Least Squares written by Stephen Boyd and Lieven Vandenberghe (referred to here as VMLS). ...
      Open Access
      Book