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Essays on Business Analytics and Game Theory.

Record Type:	Language materials, manuscript : Monograph/item
Title/Author:	Essays on Business Analytics and Game Theory./
Author:	Nguyen, Minh.
Description:	1 online resource (203 pages)
Notes:	Source: Dissertations Abstracts International, Volume: 85-01, Section: A.
Contained By:	Dissertations Abstracts International85-01A.
Subject:	Finance. -
Online resource:	click for full text (PQDT)
ISBN:	9798379894528

Essays on Business Analytics and Game Theory.
Nguyen, Minh.

Essays on Business Analytics and Game Theory. - 1 online resource (203 pages)

Source: Dissertations Abstracts International, Volume: 85-01, Section: A.

Thesis (Ph.D.)--University of Hawai'i at Manoa, 2023.

Includes bibliographical references

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).

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2024

Mode of access: World Wide Web

ISBN: 9798379894528Subjects--Topical Terms:

559073
Finance.
Subjects--Index Terms:

Business analyticsIndex Terms--Genre/Form:

554714
Electronic books.

Essays on Business Analytics and Game Theory.
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500 $a Source: Dissertations Abstracts International, Volume: 85-01, Section: A.
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502 $a Thesis (Ph.D.)--University of Hawai'i at Manoa, 2023.
504 $a Includes bibliographical references
520 $a 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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538 $a Mode of access: World Wide Web
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653 $a Business analytics
653 $a Financial distress
653 $a Firm performance
653 $a Game theory
653 $a Machine learning
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710 2 $a University of Hawai'i at Manoa. $b Economics. $3 1185512
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