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Full-Text Articles in Business

Paper Dragon Thieves, J.S. Nelson Dec 2016

Paper Dragon Thieves, J.S. Nelson

J.S. Nelson

Developments in the law are making the corporate form more opaque and allowing the agents who animate it to escape individual accountability for their actions. The law now provides protection for agents to engage in widespread frauds that inflict massive harm on the public. This article challenges the academic orthodoxy that shareholder and director liability are enough to control agent behavior by developing a paper dragon analogy to focus on the importance of agents in corporate animation. Lack of agent accountability encourages the patterns of fraud that caused the financial crisis in which forty-five percent of the world’s wealth disappeared, …

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The Corporate Shell Game, J.S. Nelson Dec 2015

The Corporate Shell Game, J.S. Nelson

J.S. Nelson

This Article identifies for the first time the hardening of the corporate shell. It provides compelling evidence that shell-hardening pushes and disguises the way that corporations and agents commit large-scale wrongdoing, and it traces the contributing legal streams that protect the agents who engage in this behavior. The only way to combat widespread frauds that inflict damage on the public is for the corporate shell to be-come less opaque.

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Predicting Short-Term Interest Rates Using Bayesian Model Averaging: Evidence From Weekly And High Frequency Data, Chew Lian Chua, Sandy Suardi, Sarantis Tsiaplias May 2015

Predicting Short-Term Interest Rates Using Bayesian Model Averaging: Evidence From Weekly And High Frequency Data, Chew Lian Chua, Sandy Suardi, Sarantis Tsiaplias

Sandy Suardi

This paper examines the forecasting performance of Bayesian model averaging (BMA) for a set of single factor models of short-term interest rates. Using weekly and high frequency data for the one-month Eurodollar rate, BMA produces predictive likelihoods that are considerably better than those associated with the majority of the short-rate models, but marginally worse than those of the best model in each dataset. We also find that BMA forecasts based on recent predictive likelihoods are preferred to those based on the marginal likelihood of the entire dataset.

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The Development Of A Multi Variant Model For Market Intelligence Data Gathering For Australian Micro Businesses And Smes - A First Step In Unravelling The Paradox Of Big Picture Thinking By Small Market Players, Pauline Ross, Lee Styger Mar 2014

The Development Of A Multi Variant Model For Market Intelligence Data Gathering For Australian Micro Businesses And Smes - A First Step In Unravelling The Paradox Of Big Picture Thinking By Small Market Players, Pauline Ross, Lee Styger

Lee Styger

Micro businesses and SMEs have typically been encouraged to develop and implement "professional" business processes that will enable them to understand their business environment. The driver of this trend has typically come from a growth in the use of external "expert" sources (i.e. consultants and sponsored agents) who are not always fully associated with the business. This growth in external intervention has typically triggered an evolution in contemporary thinking and literature, that would lead us to believe that micro businesses and SMEs operate in a similar way, and with a similar structure, as larger organisations. This paper focuses on some …

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Filter Coordinations For Exploring Multi-Dimensional Data, Mark Sifer Dec 2012

Filter Coordinations For Exploring Multi-Dimensional Data, Mark Sifer

Dr Mark Sifer

No abstract provided.

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