Using computational science methods in accounting and finance research

David A. Ziebart; Mark Cheng; Sohee Kim; Wenyin Li; Anh Pham; Darren Woodward

doi:10.1142/9789811269943_0071

Using computational science methods in accounting and finance research

David A. Ziebart, Mark Cheng, Sohee Kim, Wenyin Li, Anh Pham, Darren Woodward

Accountancy

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

Computational modeling is being used in more research and applications in accounting and finance. These approaches include simulations and computer-intensive methods that are different from traditional methods in most prior research. This chapter explains the underlying philosophy of these methods and discusses several research studies using them. Inferences of the studies are discussed and both benefits and concerns with the methods are addressed.

Original language	English
Title of host publication	Handbook Of Investment Analysis, Portfolio Management, And Financial Derivatives (In 4 Volumes)
Pages	2237-2264
Number of pages	28
Volume	3-4
ISBN (Electronic)	9789811269943
DOIs	https://doi.org/10.1142/9789811269943_0071
State	Published - Apr 8 2024

Bibliographical note

Publisher Copyright:
© 2024 World Scientific Publishing Company. All rights reserved.

Keywords

Computational modeling
Computational science
Computer-intensive methods
Monte Carlo simulation
Simulation

ASJC Scopus subject areas

General Economics, Econometrics and Finance
General Business, Management and Accounting

Access to Document

10.1142/9789811269943_0071

Cite this

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ER -

Using computational science methods in accounting and finance research

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this