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Finance and Financial Management Commons™
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- AB32 (1)
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- Association of Certified Fraud Examiners (ACFE) (1)
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- Committee of Sponsoring Organizations of the Treadway Commission (COSO) (1)
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- Portland Cement (1)
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- Productivity (1)
- Search costs; price obfuscation; diamond retail; data mining; pricing; revenue management (1)
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- Terms—Past Due; Credit Risk Model; Logistic Regression; Decision Trees; Neural Networks; (1)
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Articles 1 - 8 of 8
Full-Text Articles in Finance and Financial Management
Simulations Illustrate Flaw In Inflation Models, Peter L. D'Antonio Ph.D.
Simulations Illustrate Flaw In Inflation Models, Peter L. D'Antonio Ph.D.
Faculty Works: Business (1973-2022)
This study questions the basic assumption of standard inflation models that there are only two forces driving price changes - underlying inflation and short-term noise. Specifically, the paper analyzes the distributions of individual price changes to shed light on an apparent contradiction: individual price changes are extremely dispersed, while measured inflation, the aggregate of individual price changes, remains relatively steady. Monte Carlo simulations demonstrate that the standard inflation model is inconsistent with this observation. The author reintroduces a new inflation model that explicitly accounts for the possibility of a third price-change driver - long-term sector-specific forces. Simulations show that the …
Disposition Effect And Multi-Asset Market Dynamics, Heba M. Ezzat Dr.
Disposition Effect And Multi-Asset Market Dynamics, Heba M. Ezzat Dr.
Business Administration
Purpose – Asset pricing dynamics in a multi-asset framework when investors’ trading exhibits the disposition effect is studied. The purpose of this paper is to explore asset pricing dynamics and the switching behavior among multiple assets. Design/methodology/approach – The dynamics of complex financial markets can be best explored by following agent-based modeling approach. The artificial financial market is populated with traders following two heterogeneous trading strategies: the technical and the fundamental trading rules. By simulation, the switching behavior among multiple assets is investigated. Findings – The proposed framework can explain important stylized facts in financial time series, such as random …
An Exploration Of Internal Controls And Their Impact On Employee Fraud In Small Businesses, Kent Lachney
An Exploration Of Internal Controls And Their Impact On Employee Fraud In Small Businesses, Kent Lachney
Doctoral Dissertations and Projects
The purpose of this qualitative study was to gain greater understanding of the current practices of the internal control systems of small businesses and to explore the effectiveness of their systems in comparison with anti-fraud activities recommended by forensic accountants. The researcher selected five small businesses that were members of the Central Louisiana Regional Chamber of Commerce and had fewer than 100 employees. The researcher interviewed the owners and/or managers of the businesses, reviewed and analyzed company documentation, interpreted data, made observations, and offered recommendations. The researcher asked each participant to respond to questions related to the five elements of …
Subjectivity Of Diamond Prices In Online Retail: Insights From A Data Mining Study, Stanislav Mamonov, Tamilla Triantoro
Subjectivity Of Diamond Prices In Online Retail: Insights From A Data Mining Study, Stanislav Mamonov, Tamilla Triantoro
Department of Information Management and Business Analytics Faculty Scholarship and Creative Works
Diamonds belong to a unique product category whose perceived value is largely dependent on socially constructed beliefs. To explore the degree to which the physical properties of a diamond can be used to predict the diamond price, we perform data mining on a large dataset of loose diamonds scraped from an online diamond retailer. We find that diamond weight, color and clarity are the key characteristics that influence diamond prices. The data mining results also suggest a high degree of subjectivity in diamond pricing that may reflect price obfuscation strategies employed by diamond retailers.
A Comparison Of Machine Learning Algorithms For Prediction Of Past Due Service In Commercial Credit, Liyuan Liu M.A, M.S., Jennifer Lewis Priestley Ph.D.
A Comparison Of Machine Learning Algorithms For Prediction Of Past Due Service In Commercial Credit, Liyuan Liu M.A, M.S., Jennifer Lewis Priestley Ph.D.
Published and Grey Literature from PhD Candidates
Credit risk modeling has carried a variety of research interest in previous literature, and recent studies have shown that machine learning methods achieved better performance than conventional statistical ones. This study applies decision tree which is a robust advanced credit risk model to predict the commercial non-financial past-due problem with better critical power and accuracy. In addition, we examine the performance with logistic regression analysis, decision trees, and neural networks. The experimenting results confirm that decision trees improve upon other methods. Also, we find some interesting factors that impact the commercials’ non-financial past-due payment.
Productivity And The California Global Warming Solutions Act: An Examination Of Cost Of Compliance Utilizing Plant Level Data In The Portland Cement And Manufacturing Industry, Richard Ardito
Doctoral Dissertations and Projects
This dissertation examined the effect of California environmental regulation, AB32 on the Portland Cement Mining and Manufacturing industry which was directly targeted by the legislation. The researcher examined the effect of productivity on the Portland Cement industry operating within California by comparing changes specific labor and fuel use productivity measures to changes in the same measures for organizations operating outside of California. These differences were examined using an independent sample t-test to determine if any changes were statistically significant. The results showed statistically significant increases in productivity for direct labor, total employee labor, and combustible fuel use when analyzed to …
The Emerging International Taxation Problems, James G. Yang, Victor N.A. Metallo
The Emerging International Taxation Problems, James G. Yang, Victor N.A. Metallo
Department of Accounting and Finance Faculty Scholarship and Creative Works
The problems of tax evasion and tax avoidance are as old as taxes themselves. Between 2015 and 2016 alone, many U.S. multinational corporations were involved in tax disputes with the European Commission. From a historical perspective, these disputes are unprecedented as they have resulted in tremendous amount of tax penalties. The most notable case was Apple for €13 billion of unpaid tax. This article discusses what tax strategies these corporations used that caused such disputes. It specifically investigates seven corporations: Apple Inc., McDonald’s, Starbucks, Fiat, Amazon, Google, and Ikea, and elaborates on the following tax strategies: high royalties, intercompany transfer …
Business Economics: Data For Decision Making, Brian Barnier, Kevin Foster
Business Economics: Data For Decision Making, Brian Barnier, Kevin Foster
Open Educational Resources
Syllabus for a course in data analytics for business economics, focusing on use of source data sets to answer the "why?" questions hidden in aggregate averages used in theory and "headline" news releases. Zero cost course using data available widely on the web. Optional texts are trade books available widely in libraries or used copies at low cost.