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Essays on Business Analytics and Gam...
~
Nguyen, Minh.
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Essays on Business Analytics and Game Theory.
Record Type:
Electronic resources : Monograph/item
Title/Author:
Essays on Business Analytics and Game Theory./
Author:
Nguyen, Minh.
Published:
Ann Arbor : ProQuest Dissertations & Theses, : 2023,
Description:
203 p.
Notes:
Source: Dissertations Abstracts International, Volume: 85-01, Section: A.
Contained By:
Dissertations Abstracts International85-01A.
Subject:
Finance. -
Online resource:
https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30492974
ISBN:
9798379894528
Essays on Business Analytics and Game Theory.
Nguyen, Minh.
Essays on Business Analytics and Game Theory.
- Ann Arbor : ProQuest Dissertations & Theses, 2023 - 203 p.
Source: Dissertations Abstracts International, Volume: 85-01, Section: A.
Thesis (Ph.D.)--University of Hawai'i at Manoa, 2023.
This item must not be sold to any third party vendors.
This collection of essays explores several research topics in business analytics and game theory. The first essay, Chapter 2, applies text mining and machine learning to quantify the impact of natural disaster risk on firm performance. The second essay, Chapter 3, uses machine learning and the Merton model to predict corporate financial distress in a transition economy. The third essay, Chapter 4, investigates optimal investment strategies in finite and mean field games, considering the presence of risk-seeking agents and using a hyperbolic absolute risk aversion (HARA) utility function. Each chapter focuses on a specific type of shock, including climate shocks (Chapter 2), economic shocks (Chapter 3), and stochastic shocks (Chapter 4).
ISBN: 9798379894528Subjects--Topical Terms:
542899
Finance.
Subjects--Index Terms:
Business analytics
Essays on Business Analytics and Game Theory.
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203 p.
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Source: Dissertations Abstracts International, Volume: 85-01, Section: A.
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Advisor: Juarez, Ruben.
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This collection of essays explores several research topics in business analytics and game theory. The first essay, Chapter 2, applies text mining and machine learning to quantify the impact of natural disaster risk on firm performance. The second essay, Chapter 3, uses machine learning and the Merton model to predict corporate financial distress in a transition economy. The third essay, Chapter 4, investigates optimal investment strategies in finite and mean field games, considering the presence of risk-seeking agents and using a hyperbolic absolute risk aversion (HARA) utility function. Each chapter focuses on a specific type of shock, including climate shocks (Chapter 2), economic shocks (Chapter 3), and stochastic shocks (Chapter 4).
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https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30492974
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