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Full-Text Articles in Business
Developing And Assessing The Drivers Of Usage Of Computer-Assisted-Audit-Techniques (Caats) And The Factors That Impact Audit Quality Perceptions In Government Internal Audit, Ashraf Alhabsi
Doctoral
This research aims to develop two models, the first of which is capable of predicting the internal auditor’s intention to adopt audit technologies, and second of which is to predict the factors that impact on the internal auditor’s perception of internal audit quality in the context of public sector auditing in Oman. The models proposed by this research are developed from existing research on technology adoption in general, as well as research on technology adoption specific to the internal audit context (Curtis & Payne, 2014; Dowling & Leech, 2014; Mahzan & Lymer, 2014). Given that Oman is only in the …
Heterogeneity In The Speed Of Adjustment To Target Leverage: A Uk Study, James Fitzgerald, James Ryan, Sheila Killian
Heterogeneity In The Speed Of Adjustment To Target Leverage: A Uk Study, James Fitzgerald, James Ryan, Sheila Killian
Conference papers
Responding to the need to address heterogeneity in the speed of adjustment (SOA) to target leverage in a manner that reflects the fractional nature of leverage, we estimate SOAs across sub-samples of UK firms using the Dynamic Panel Fractional estimator (DPF). Using firm risk as a categorising variable, we show that riskier firms tend to adjust to target leverage at a faster rate, suggesting opportunity costs of being away from target leverage are higher for riskier firms. We also demonstrate the bias in SOAs as estimated using a model that does not account for the fractional nature of leverage, and …
Managing Energy Price Risk Using Futures Contracts: A Comparative Analysis, Jim Hanly
Managing Energy Price Risk Using Futures Contracts: A Comparative Analysis, Jim Hanly
Articles
This paper carries out a comparative analysis of managing energy risk through futures hedging, for energy market participants across a broad dataset that encompasses the largest and most actively traded energy products. Uniquely, we carry out a hedge comparison using a variety of risk measures including Variance, Value at risk (VaR), and Expected Shortfall as well as a utility based performance metric for two different investor horizons; weekly and monthly. We find that hedging is effective across the spectrum of risk measures we employ. We also find significant differences in both the hedging strategies and the hedging effectiveness of different …