Darren Shannon

Darren Shannon
University of Limerick | UL · Department of Accounting and Finance

Doctor of Philosophy
Lecturer (above the merit bar) in Quantitative Finance, University of Limerick

About

19
Publications
2,135
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119
Citations
Introduction
Dr. Darren Shannon is a Quantitative Finance lecturer in the Kemmy Business School, University of Limerick, and a researcher in the Emerging Risk Group (ERG). Darren splits his research focus between traditional finance topics (usually a quantitative perspective on equity markets), emergent topics in finance (green finance), and transportation safety (the econometrics of motor vehicle collisions, and the impacts that Connected and Autonomous Vehicles, or CAVs, will have on motor insurance).

Publications

Publications (19)
Article
Full-text available
Road traffic collisions are the leading cause of death for those between the ages of 15–29, according to the World Health Organisation. This study investigates one of the primary reasons for the high fatality rate amongst Young Novice Drivers (YNDs) – their use of smartphones while driving. We gathered responses from a representative sample of YNDs...
Article
Full-text available
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 five regional epicentres, along with a ‘global’ index. We also investigate the impact of COVID-19 after controlling for investor...
Article
Full-text available
The introduction of connected and autonomous vehicles (CAVs) to the road transport ecosystem will change the manner of collisions. CAVs are expected to optimize the safety of road users and the wider environment, while alleviating traffic congestion and maximizing occupant comfort. The net result is a reduction in the frequency of motor vehicle col...
Article
Full-text available
Modelling crash rates in an urban area requires a swathe of data regarding historical and prevailing traffic volumes and crash events and characteristics. Provided that the traffic volume of urban networks is largely defined by typical work and school commute patterns, crash rates can be determined with a reasonable degree of accuracy. However, thi...
Article
Full-text available
This study investigates the impact that delta-V, the relative change in vehicle velocity pre- and post-crash, has on the severity of motor vehicle collisions (MVCs). We study injury severity using two metrics for each occupant – the number of injuries suffered, and the probability of suffering a serious or worse (MAIS 3+) injury. We use a cross-sec...
Preprint
Full-text available
Modelling crash rates in an urban area requires a swathe of data regarding historical and prevailing traffic volumes and crash events and characteristics. Provided that the traffic volume of urban networks is largely defined by typical work and school commute patterns, crash rates can be determined with a reasonable degree of accuracy. However, thi...
Article
Full-text available
Diversification plays a pivotal role under the risk-based capital regime of Solvency II. The new rules reward large and well-diversified insurance companies with relatively low capital requirements compared to those of small and specialised nature. To enhance diversification, insurance companies can adjust their strategy by engaging in mergers and...
Article
Full-text available
We present an alternative approach to the forecasting of motor vehicle collision rates. We adopt an oft-used tool in mathematical finance, the Heston Stochastic Volatility model, to forecast the short-term and long-term evolution of motor vehicle collision rates. We incorporate a number of extensions to the Heston model to make it fit for modelling...
Article
On the path to high-level vehicle automation, the degree of surveillance both inside and outside the car increases significantly. Consequently, ethical considerations are becoming central to questions around surveillance regimes and data privacy implicit in level 3 and 4 vehicle automation. In this paper, we focus on outputs from the EU Horizon 202...
Article
We are facing an increase in the emergence of distracting activities while driving. This is especially the case for young people who, more than other age groups, employ their cars as a place of personal fulfilment. This study proposes an interdisciplinary safe-by-design (SbD) heuristic to address this emerging risk. It harnesses a German version of...
Article
Full-text available
Background From February 2020, both urban and rural Ireland witnessed the rapid proliferation of the COVID-19 disease throughout its counties. During this period, the national COVID-19 responses included stay-at-home directives issued by the state, subject to varying levels of enforcement. Methods In this paper, we present a new method to assess a...
Preprint
Full-text available
We present an alternative approach to the forecasting of motor vehicle collision rates. We adopt an oft-used tool in mathematical finance, the Heston Stochastic Volatility model, to forecast the short-term and long-term evolution of motor vehicle collision rates. We incorporate a number of extensions to the Heston model to make it fit for modelling...
Thesis
Full-text available
The broad evolutionary movement toward ensuring vehicle safety has necessitated the collection of motor vehicle collision (MVC) data, so that the circumstances that influence the frequency and severity of MVCs can be understood. The data generated from MVCs has resulted in the development of practical safety mechanisms within vehicles. Technologic...
Article
Full-text available
Motor Vehicle Collisions (MVCs) accounted for an economic cost of $242 billion in the United States in 2010. A significant portion (42%) was associated with factors considered for compensation estimates – medical costs, lost earnings and reduced household productivity. This study proposes a methodology that accounts for these costs by using expecte...
Article
Full-text available
This article aims to introduce a degree of technological and ethical realism to the framing of autonomous vehicle perception and decisionality. The objective is to move the socioethical dialog surrounding autonomous vehicle decisionality from the dominance of “trolley framings” to more pressing ethical issues. The article argues that more realistic...
Article
Full-text available
An extensive number of research studies have attempted to capture the factors that influence the severity of vehicle impacts. The high number of risks facing all traffic participants has led to a gradual increase in sophisticated data collection schemes linking crash characteristics to subsequent severity measures. This study serves as a departure...
Chapter
The third and final pillar of Solvency II deals with reporting requirements. As explained briefly in the introduction section, insurance undertakings are required to submit information covered under Pillar Three to the authorities in order to qualify for supervision. This information is comprised of either qualitative and quantitative elements or a...

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