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Details about Daniele Ballinari

Homepage:https://dballinari.github.io/
Workplace:Schweizerische Nationalbank (SNB) (Swiss National Bank), (more information at EDIRC)
School of Economics and Political Science, Universität St. Gallen (University of St. Gallen), (more information at EDIRC)

Access statistics for papers by Daniele Ballinari.

Last updated 2024-12-05. Update your information in the RePEc Author Service.

Short-id: pba1855


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Working Papers

2025

  1. Improving the Finite Sample Estimation of Average Treatment Effects using Double/Debiased Machine Learning with Propensity Score Calibration
    Papers, arXiv.org Downloads

2024

  1. Calibrating doubly-robust estimators with unbalanced treatment assignment
    Papers, arXiv.org Downloads View citations (1)
    See also Journal Article Calibrating doubly-robust estimators with unbalanced treatment assignment, Economics Letters, Elsevier (2024) Downloads View citations (1) (2024)
  2. Semiparametric inference for impulse response functions using double/debiased machine learning
    Papers, arXiv.org Downloads

Journal Articles

2024

  1. Calibrating doubly-robust estimators with unbalanced treatment assignment
    Economics Letters, 2024, 241, (C) Downloads View citations (1)
    See also Working Paper Calibrating doubly-robust estimators with unbalanced treatment assignment, Papers (2024) Downloads View citations (1) (2024)

2022

  1. When does attention matter? The effect of investor attention on stock market volatility around news releases
    International Review of Financial Analysis, 2022, 82, (C) Downloads View citations (6)

2021

  1. How to gauge investor behavior? A comparison of online investor sentiment measures
    Digital Finance, 2021, 3, (2), 169-204 Downloads View citations (3)

2020

  1. Structural breaks in online investor sentiment: A note on the nonstationarity of financial chatter
    Finance Research Letters, 2020, 35, (C) Downloads View citations (2)
  2. The impact of sentiment and attention measures on stock market volatility
    International Journal of Forecasting, 2020, 36, (2), 334-357 Downloads View citations (94)
 
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