Nick Polson

University of Chicago - Booth School of Business

Associate Professor of Statistics

5807 S. Woodlawn Avenue

Chicago, IL 60637

United States

  • University of Chicago - Booth School of Business

    • Email
    • Tel: 773-702-7513
    • Fax: 773-702-0458
SCHOLARLY PAPERS

18

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33,328

SSRN CITATIONS
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Top 4,086

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308

CROSSREF CITATIONS

100

Scholarly Papers (18)

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1.

Deep Learning for Finance: Deep Portfolios

Applied Stochastic Models in Business and Industry 33 (1), 3-12.
Number of pages: 10 Posted: 14 Sep 2016 Last Revised: 17 Oct 2022
J.B. Heaton, Nick Polson and Jan Witte
One Hat Research LLC, University of Chicago - Booth School of Business and University College London - Department of Mathematics
Downloads 11,128 (801)
Citation 68

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Deep Learning, Machine Learning, Big Data, Artificial Intelligence, Finance, Asset Pricing, Volatility, Deep Frontier

2.

Why Indexing Works

Applied Stochastic Models in Business and Industry 33 (6), 690-693.
Number of pages: 4 Posted: 14 Oct 2015 Last Revised: 17 Oct 2022
J.B. Heaton, Nick Polson and Jan Witte
One Hat Research LLC, University of Chicago - Booth School of Business and University College London - Department of Mathematics
Downloads 7,722 (1,512)
Citation 3

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Indexing, Passive Management, Active Management

3.

Deep Learning in Characteristics-Sorted Factor Models

Journal of Financial and Quantitative Analysis, Forthcoming
Number of pages: 50 Posted: 23 Sep 2018 Last Revised: 26 Jun 2023
Guanhao Feng, Jingyu He, Nick Polson and Jianeng Xu
City University of Hong Kong (CityU), City University of Hong Kong (CityU), University of Chicago - Booth School of Business and University of Chicago, Students
Downloads 2,501 (9,832)
Citation 20

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Cross-sectional Returns, Deep Learning, Latent Factors, Nonlinearity, Security Sorting.

4.

MCMC Methods for Continuous-Time Financial Econometrics

Number of pages: 96 Posted: 27 Dec 2003
Michael S. Johannes and Nick Polson
Graduate School of Business, Columbia University and University of Chicago - Booth School of Business
Downloads 2,295 (11,328)
Citation 61

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5.

Corporate Credit Spreads under Parameter Uncertainty

AFA 2009 San Francisco Meetings Paper
Number of pages: 45 Posted: 26 Mar 2008 Last Revised: 30 Nov 2009
Arthur G. Korteweg and Nick Polson
University of Southern California - Marshall School of Business and University of Chicago - Booth School of Business
Downloads 1,687 (18,385)
Citation 14

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Credit risk, credit spread, bankruptcy, default, corporate bonds, MCMC

6.

Sequential Learning, Predictability, and Optimal Portfolio Returns

Journal of Finance, Forthcoming, AFA 2009 San Francisco Meetings Paper
Number of pages: 58 Posted: 25 Mar 2008 Last Revised: 04 Apr 2013
Michael S. Johannes, Arthur G. Korteweg and Nick Polson
Graduate School of Business, Columbia University, University of Southern California - Marshall School of Business and University of Chicago - Booth School of Business
Downloads 1,639 (19,230)
Citation 42

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Learning, predictability, optimal portfolio formation

7.

The Impact of Jumps in Volatility and Returns

Downloads 1,278 (27,945)
Citation 52

The Impact of Jumps in Volatility and Returns

Number of pages: 47 Posted: 01 Jan 2001
Michael S. Johannes, Bjorn Eraker and Nick Polson
Graduate School of Business, Columbia University, University of Wisconsin - Madison - Department of Finance, Investment and Banking and University of Chicago - Booth School of Business
Downloads 1,278 (27,485)
Citation 52

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Jumps, Stochastic Volatility, Continuous-Time Econometrics, Option Pricing, Market Stress

The Impact of Jumps in Volatility and Returns

Posted: 31 Aug 2003
Bjorn Eraker, Michael S. Johannes and Nick Polson
University of Wisconsin - Madison - Department of Finance, Investment and Banking, Graduate School of Business, Columbia University and University of Chicago - Booth School of Business

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8.

Sequential Optimal Portfolio Performance: Market and Volatility Timing

Number of pages: 48 Posted: 24 Mar 2002
Michael S. Johannes, Nick Polson and Jonathan R Stroud
Graduate School of Business, Columbia University, University of Chicago - Booth School of Business and McDonough School of Business, Georgetown University
Downloads 1,173 (31,650)
Citation 43

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9.

Bayesian Analysis of a Stochastic Volatility Model with Leverage Effect and Fat Tails

Boston College Finance Dept. Working Paper
Number of pages: 31 Posted: 16 Jul 2001
Eric Jacquier, Peter E. Rossi and Nick Polson
Boston University School of Management, University of California, Los Angeles (UCLA) - Anderson School of Management and University of Chicago - Booth School of Business
Downloads 1,095 (34,857)
Citation 83

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ARCH, Bayes factor, Fat-tails, Gibbs Leverage effect, Metropolis, MCMC, Stochastic volatility

10.

Particle Filtering and Parameter Learning

Number of pages: 39 Posted: 02 May 2007
Michael S. Johannes and Nick Polson
Graduate School of Business, Columbia University and University of Chicago - Booth School of Business
Downloads 668 (68,485)
Citation 14

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Sequential learning, filtering, stochastic volatility, Kalman filter

11.

Nonlinear Filtering of Stochastic Differential Equations with Jumps

Number of pages: 44 Posted: 15 Oct 2002
Michael S. Johannes, Jonathan R Stroud and Nick Polson
Graduate School of Business, Columbia University, McDonough School of Business, Georgetown University and University of Chicago - Booth School of Business
Downloads 633 (73,394)
Citation 11

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Filtering, Stochastic Differential Equations, Jumps, Option Pricing, Volatility

12.

Tracking Flu Epidemics Using Google Flu Trends and Particle Learning

Number of pages: 33 Posted: 27 Nov 2009 Last Revised: 27 Oct 2012
Vanja M. Dukic, Hedibert F. Lopes and Nick Polson
University of Chicago, University of Chicago - Booth School of Business and University of Chicago - Booth School of Business
Downloads 559 (85,667)
Citation 7

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Epidemics, Particle learning, influenza, Google, IP surveillance, SEIR, H1N1 virus

13.

Particle Learning and Smoothing

Statistical Science, Vol. 25, No. 1, pp. 88-106, 2010
Number of pages: 19 Posted: 22 Oct 2011 Last Revised: 09 Nov 2011
Carlos M. Carvalho, Michael S. Johannes, Hedibert F. Lopes and Nick Polson
University of Texas at Austin - Red McCombs School of Business, Graduate School of Business, Columbia University, University of Chicago - Booth School of Business and University of Chicago - Booth School of Business
Downloads 261 (201,329)
Citation 3

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14.

Quantile Filtering and Learning

Number of pages: 40 Posted: 21 Nov 2009
Michael S. Johannes, Nick Polson and James Yae
Graduate School of Business, Columbia University, University of Chicago - Booth School of Business and University of Houston - C. T. Bauer College of Business
Downloads 231 (227,001)
Citation 1

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Quantile, LAD, Particle Filtering, Particle Learning, Bayes Factor

15.

Sparse Regularization in Marketing and Economics

Number of pages: 29 Posted: 20 Aug 2017 Last Revised: 10 Feb 2018
Guanhao Feng, Nick Polson, Yuexi Wang and Jianeng Xu
City University of Hong Kong (CityU), University of Chicago - Booth School of Business, University of Chicago, Students and University of Chicago, Students
Downloads 155 (323,805)

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Machine learning, Regularization, Proximal Algorithm, Nonconvex Optimization, Marketing Demand Forecasting

16.

Regularizing Bayesian Predictive Regressions

Number of pages: 35 Posted: 17 Aug 2016 Last Revised: 25 Oct 2021
Guanhao Feng and Nick Polson
City University of Hong Kong (CityU) and University of Chicago - Booth School of Business
Downloads 155 (323,805)
Citation 1

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Bayesian predictive regression; prior sensitivity analysis; maximum-a-posteriori; equity-premium predictability; bond risk premia; predictor selection.

17.

Sequential Inference for Nonlinear Models using Slice Variables

Number of pages: 35 Posted: 21 Nov 2009
Michael S. Johannes, Nick Polson and James Yae
Graduate School of Business, Columbia University, University of Chicago - Booth School of Business and University of Houston - C. T. Bauer College of Business
Downloads 148 (336,347)
Citation 1

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Monte Carlo, Particle Filtering, Particle Learning, Nonlinear State Space Model, Slice Variable

18.

Optimal Filtering of Jump Diffusions: Extracting Latent States from Asset Prices

The Review of Financial Studies, Vol. 22, Issue 7, pp. 2559-2599, 2009
Posted: 22 Jun 2009
Michael S. Johannes, Nick Polson and Jonathan R Stroud
Graduate School of Business, Columbia University, University of Chicago - Booth School of Business and McDonough School of Business, Georgetown University

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C11, C13, C15, C51, C52, G11, G12, G17