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Now showing items 37-56 of 90

Factors influencing tax experts’ perceptions of the value of expertise in their daily tax work. Exploring the field through a Bourdieusian lens

Laheen, Martin Joseph (University of Limerick, 2021)

This thesis explores how tax experts value different facets of expertise in their daily work, and how the manner and degree to which expertise is valued and experienced varies across the field. Over the past decade, a ...
The forecastability of equity market returns: an empirical investigation of Chinese equity markets

Hong, Hui (University of Limerick, 2014)

This thesis is concerned with the predictability of equity market performance in China while accounting for the possibility of model instability. The study of return predictability, particularly that on time-varying ...
Forecasting implied volatility in foreign exchange markets: a functional time series approach

Kearney, Fearghal; Cummins, Mark; Murphy, Finbarr (Taylor and Francis Ltd, 2018)

We utilise novel functional time series (FTS) techniques to characterise and forecast implied volatility in foreign exchange markets. In particular, we examine the daily implied volatility curves of FX options, namely; ...
From semi to fully autonomous vehicles: new emerging risks and ethico-legal challenges for human-machine interactions

Bellet, Thierry; Cunneen, Martin; Mullins, Martin; Murphy, Finbarr; Pütz, Fabian; Spickermann, Florian; Braendle, Claudia; Baumann, Martina Felicitas (Elsevier, 2019)

The provision of an adequate liability regime for ADAS technologies is an essential prerequisite for its roll out over the coming decade. Facing to the challenge of future highly automated vehicles, this paper proposed ...
From traditional to autonomous vehicles: A systematic review of data availability

Masello, Leandro; Sheehan, Barry; Murphy, Finbarr; Castignani, German; McDonnell, Kevin; Ryan, Cian (SAGE, 2021)

The increasing accessibility of mobility datasets has enabled research in green mobility, road safety, vehicular automation, and transportation planning and optimization. Many stakeholders have leveraged vehicular datasets ...
Game on! students' perceptions of gamified learning

Buckley, Patrick; Doyle, Elaine; Doyle, Shane (International Forum of Educational Technology & Society, 2017)

Gamification is presented in the literature as a pedagogical innovation that may increase student engagement and enhance learning. This study explores students’ perceptions of a gamified learning intervention deployed in ...
Gas storage valuation under multifactor Lévy processes

Cummins, Mark; Kiely, Greg; Murphy, Bernard (Elsevier, 2018)

A practical problem for energy companies is instituting a consistent framework across its supply and trading activities to deliver on all-important P&L and at-Risk reporting requirements. With a focus on storage assets and ...
The gender diversity dividend

Killian, Sheila; O'Regan, Philip; Lynch, Ruth; Laheen, Martin Joseph (CPA Ireland, 2019)

In a recent article in this magazine, Donna Torres wrote compellingly about the importance of tackling the gender gap across the accounting profession. She made the case that gender diversity is not only a women’s issue ...
Gender equality in the accounting profession: one size fits all

Flynn, Antoinette; Earlie, Emily Kate; Cross, Christine (Emerald, 2015)

Purpose – This study aims to examine both male and female accountants’ perceptions of female career progression in the Accounting Profession in Ireland. This study is set in the context of a steady rise in the total ...
Hazard screening methods for nanomaterials: a comparative study

Sheehan, Barry; Murphy, Finbarr; Mullins, Martin; Furxhi, Irini; Costa, Anna L.; Simeone, Felice C.; Mantecca, Paride (MDPI, 2018)

Hazard identification is the key step in risk assessment and management of manufactured nanomaterials (NM). However, the rapid commercialisation of nano-enabled products continues to out-pace the development of a prudent ...
Health and environmental safety of nanomaterials: O data, where art thou?

Furxhi, Irini (Elsevier, 2022)

Nanotechnology keeps drawing attention due to the great tunable properties of nanomaterials in comparison to their bulk conventional materials. The growth of nanotechnology in combination with the digitization era has led ...
Health policy and the policymaking system: a case study of primary care in Ireland

Kelly, Niall; Garvey, John; Palcic, Dónal (Elsevier, 2016)

In 2001 the Irish government published a reforming policy intended to modernise and expand the delivery of primary care in Ireland. Fifteen years later, the Irish health system remains beset by problems indicative of a ...
Immune or at-risk? stock markets and the significance of the COVID-19 pandemic

O'Donnell, Niall; Shannon, Darren; Sheehan, Barry (Elsevier, 2021)

The closure of borders and traditional commerce due to the COVID-19 pandemic is expected to have a lasting financial impact. We determine whether the growth in COVID-19 affected index prices by examining equity markets in ...
The impact of connected automated vehicles on the insurance sector: a comprehensive analysis of legal and risk factors

Pütz, Fabian (Univeristy of Limerick, 2019)

The introduction of connected automated vehicles (CAV) offers significant societal benefits and economic opportunities while similarly posing major challenges to society, businesses, research, and regulatory bodies. In ...
Inflation and the subsequent timing of the Chinese stock market

Hong, Hui; O'Brien, Fergal; Ryan, James (Asian Academy of Management (AAM) and Penerbit Universiti Sains Malaysia, 2014)

This paper examines market-timing strategies based on inflation in a sample of three stock market indices drawn from the Shanghai and the Shenzhen Stock Exchanges between February 2002 and May 2010. Specifically, this study ...
A machine learning examination of nanomaterial safety

Furxhi, Irini (University of Limerick, 2020)

Nanotechnology is an emerging technologies with enormous potential for innovative applications. The introduction of nanoparticles (NPs) offers significant societal benefits and economic opportunities while posing major ...
Machine learning prediction of nanoparticle in vitro toxicity: a comparative study of classifiers and ensemble-classifiers using the Copeland Index

Furxhi, Irini; Murphy, Finbarr; Mullins, Martin; Poland, Craig A. (Elsevier, 2019)

Nano-Particles (NPs) are well established as important components across a broad range of products from cosmetics to electronics. Their utilization is increasing with their significant economic and societal potential yet ...
A machine learning tool to predict the antibacterial capacity of nanoparticles

Mirzaei, Mahsa; Furxhi, Irini; Murphy, Finbarr; Mullins, Martin (MDPI, 2021)

The emergence and rapid spread of multidrug-resistant bacteria strains are a public health concern. This emergence is caused by the overuse and misuse of antibiotics leading to the evolution of antibiotic-resistant ...
A market consistent gas storage modelling framework: valuation, calibration, & model risk

Kiely, Greg (University of Limercik, 2016)

A typical natural gas derivatives book within an energy trading business, bank, or even large utility will generally be exposed to two broad categories of market risk. The first being outright price volatility, where ...
Mitigating employer liability for producers and users of engineered nano materials

McAlea, Eamonn (University of Limerick, 2015)

This thesis presents a series of arguments, tools and techniques to help facilitate the efficient transfer of occupational risk from the community of producers and users of engineered nano materials (ENMs) to insurers, ...

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