Petter N. Kolm

New York University (NYU) - Courant Institute of Mathematical Sciences

Clinical Full Professor

251 Mercer Street

New York, NY 10012

United States

SCHOLARLY PAPERS

14

DOWNLOADS
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Top 6,221

in Total Papers Downloads

8,458

SSRN CITATIONS

5

CROSSREF CITATIONS

6

Scholarly Papers (14)

1.

Multiperiod Portfolio Selection and Bayesian Dynamic Models

Risk, Vol. 28, Issue 3, p 50-54, March 2015
Number of pages: 8 Posted: 28 Jul 2014 Last Revised: 16 Mar 2021
Petter N. Kolm and Gordon Ritter
New York University (NYU) - Courant Institute of Mathematical Sciences and New York University (NYU) - Courant Institute of Mathematical Sciences
Downloads 2,150 (8,208)
Citation 1

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Portfolio optimization, Transaction costs, Bayesian statistics, Markov models

2.

Modern Perspectives on Reinforcement Learning in Finance

The Journal of Machine Learning in Finance, Vol. 1, No. 1, 2020.
Number of pages: 28 Posted: 16 Sep 2019 Last Revised: 16 Mar 2021
Petter N. Kolm and Gordon Ritter
New York University (NYU) - Courant Institute of Mathematical Sciences and New York University (NYU) - Courant Institute of Mathematical Sciences
Downloads 2,112 (8,450)
Citation 5

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Dynamic programming, Finance, Hedging, Intertemporal choice; Investment analysis, Machine learning, Optimal control, Options, Portfolio optimization, Reinforcement learning

3.

Alternative Data in Investment Management: Usage, Challenges and Valuation

Number of pages: 42 Posted: 03 Dec 2020
Gene Ekster and Petter N. Kolm
New York University (NYU) - Courant Institute of Mathematical Sciences and New York University (NYU) - Courant Institute of Mathematical Sciences
Downloads 1,461 (15,205)

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Alternative data; alt-data; fundamental investing, investment management; investment strategies; machine learning; quantitative investing; unstructured data.

4.

On the Bayesian Interpretation of Black-Litterman

European Journal of Operational Research, Volume 258, Issue 2, 16 April 2017, Pages 564-572
Number of pages: 22 Posted: 17 Oct 2016 Last Revised: 01 Dec 2017
Petter N. Kolm and Gordon Ritter
New York University (NYU) - Courant Institute of Mathematical Sciences and New York University (NYU) - Courant Institute of Mathematical Sciences
Downloads 999 (26,916)
Citation 1

Abstract:

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Black-Litterman, Portfolio Optimization, APT, Bayesian statistics

5.

Robo-Advisory: From Investing Principles and Algorithms to Future Developments

Grealish, Adam and Petter N. Kolm, "Robo-Advisory: From Investing Principles and Algorithms to Future Developments" in Machine Learning in Financial Markets: A Guide to Contemporary Practice (2021). Edited by A. Capponi and C.A. Lehalle. Cambridge University Press.
Number of pages: 29 Posted: 18 Feb 2021
Adam Grealish and Petter N. Kolm
Betterment, LLC and New York University (NYU) - Courant Institute of Mathematical Sciences
Downloads 568 (57,757)

Abstract:

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Asset location, Autonomous finance, Cash management, Goals-based investing, Investor interaction, Portfolio management, Robo-advisory, Responsible investing, Retail investing, Retirement planning, Risk management, Tax-loss harvesting, Tax management

6.

Chinese Outbound Investments into US (2004-2012)

Number of pages: 15 Posted: 10 Apr 2012
Petter N. Kolm and Henry Tillman
New York University (NYU) - Courant Institute of Mathematical Sciences and Grisons Peak LLP
Downloads 468 (73,522)

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China, cross-border M&A, outward foreign direct investment, US

7.

Feature Selection in Jump Models

Number of pages: 32 Posted: 18 Mar 2021
Peter Nystrup, Petter N. Kolm and Erik Lindstrom
Lund University, New York University (NYU) - Courant Institute of Mathematical Sciences and Lund University
Downloads 381 (93,587)

Abstract:

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High-dimensional; sequential data; time series; clustering; unsupervised learning; regime switching

8.

What Happened to the Rest? A Principled Approach to Clean-Up Costs in Algorithmic Trading

Number of pages: 19 Posted: 04 Mar 2021
Petter N. Kolm and Nicholas Westray
New York University (NYU) - Courant Institute of Mathematical Sciences and Courant Institute of Mathematical Sciences
Downloads 319 (114,199)
Citation 1

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Algorithmic trading, Backtesting, Best execution, Clean-up cost, Optimal execution, Trading, Transaction cost analysis

9.

Black-Litterman and Beyond: The Bayesian Paradigm in Investment Management

The Journal of Portfolio Management, to appear, 2021.
Posted: 09 Mar 2021
Petter N. Kolm, Gordon Ritter and Joseph Simonian
New York University (NYU) - Courant Institute of Mathematical Sciences, New York University (NYU) - Courant Institute of Mathematical Sciences and Natixis Investment Managers, L.P.

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Bayesian statistics, Black-Litterman, Factor investing, Investment management, Portfolio optimization, Portfolio theory, Risk premia, Robust portfolio management, Trading, Transaction costs, Views

10.

Factor Investing with Black-Litterman-Bayes: Incorporating Factor Views and Priors in Portfolio Construction

The Journal of Portfolio Management, Special Issue on Factor Investing, 2021
Posted: 03 Feb 2021
Petter N. Kolm and Gordon Ritter
New York University (NYU) - Courant Institute of Mathematical Sciences and New York University (NYU) - Courant Institute of Mathematical Sciences

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Factor investing, Investment analysis, Bayesian statistics, Black-Litterman, Portfolio optimization, Portfolio theory, Risk premia

11.

Deep Reinforcement Learning for Option Replication and Hedging

Jiayi Du, Muyang Jin, Petter N. Kolm, Gordon Ritter, Yixuan Wang and Bofei Zhang, 'Deep Reinforcement Learning for Option Replication and Hedging.' The Journal of Financial Data Science 2.4 (2020).
Posted: 21 Oct 2020
New York University (NYU) - Center for Data Science, New York University (NYU) - Center for Data Science, New York University (NYU) - Courant Institute of Mathematical Sciences, New York University (NYU) - Courant Institute of Mathematical Sciences, New York University (NYU) - Center for Data Science and New York University (NYU) - Center for Data Science

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Financial Machine Learning, Hedging, Deep Q-learning, Deep Reinforcement Learning, Deep Neural Networks, Option Replication, Proximal Policy Optimization

12.

Greedy Online Classification of Persistent Market States Using Realized Intraday Volatility Features

Nystrup, Peter, Kolm, Petter N. and Lindstrom, Erik, "Greedy Online Classification of Persistent Market States Using Realized Intraday Volatility Features." The Journal of Financial Data Science 2.3 (2020).
Posted: 05 Jun 2020 Last Revised: 16 Mar 2021
Peter Nystrup, Petter N. Kolm and Erik Lindstrom
Lund University, New York University (NYU) - Courant Institute of Mathematical Sciences and Lund University

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Clustering; Finance; Jump models; Markov-Switching; State sequence estimation; Unsupervised learning

13.

Best Practices in Research for Quantitative Equity Strategies

The Journal of Portfolio Management Special QES Issue 2016, 42 (5) 135-143; DOI/10.3905/jpm.2016.42.5.135
Posted: 27 Jan 2020
New York University (NYU) - Courant Institute of Mathematical Sciences, EDHEC Business School and New York University (NYU) - Courant Institute of Mathematical Sciences

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Research methodology, quantitative finance, machine learning, psychology

14.

Dynamic Replication and Hedging: A Reinforcement Learning Approach

Kolm, Petter N. and Gordon Ritter. "Dynamic Replication and Hedging: A Reinforcement Learning Approach." The Journal of Financial Data Science 1.1 (2019).
Posted: 05 Dec 2018 Last Revised: 16 Mar 2021
Petter N. Kolm and Gordon Ritter
New York University (NYU) - Courant Institute of Mathematical Sciences and New York University (NYU) - Courant Institute of Mathematical Sciences

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Finance; Hedging; Investment analysis; Machine learning; Optimal control; Options; Portfolio optimization; Reinforcement learning