Improved eBusiness Treasury Risk Management using Intelligent Agents: Increasing Returns, Controlling Risk

Following the global economic downturn and a collapse in international equity markets, many financial institutions and corporations have sought the higher returns associated with higher risk from trading in foreign exchange derivatives. These derivatives have become increasingly complex to the point where few specialists are able to accurately determine the level of exposure. Top traders seek high rewards for their successful investments. Rogue traders seek high rewards by concealing their unsuccessful gambling, sometimes to the extent of endangering the viability of their employers. Current technology copes poorly with dynamically changing business requirements and conditions so there is little technological support available for organizations sensitized by reports of rogue trading and increasingly obliged by financial regulators to improve their risk management practices. This paper proposes a risk management framework that can support FX derivative monitoring and trading based on the Williams-Elliot Agent Architecture. The framework uses agent technologies for improved management of treasury risk by continuous monitoring of all transactions across an organisation; continuous evaluation of exposures compared with prescribed parameters across an organisation; instantaneous reporting to senior management where trading begins to approach or violates the parameters. Rigorous examples of typical transactions illustrate how intelligent agents can be used to monitor risk and to make trades within a powerful risk modelling and management framework

Market and Economic Modelling of the Intelligent Grid: End of Year Report 2009

The overall goal of Project 2 has been to provide a comprehensive understanding of the impacts of distributed energy (DG) on the Australian Electricity System. The research team at the UQ Energy Economics and Management Group (EEMG) has constructed a variety of sophisticated models to analyse the various impacts of significant increases in DG. These models stress that the spatial configuration of the grid really matters - this has tended to be neglected in economic discussions of the costs of DG relative to conventional, centralized power generation. The modelling also makes it clear that efficient storage systems will often be critical in solving transient stability problems on the grid as we move to the greater provision of renewable DG. We show that DG can help to defer of transmission investments in certain conditions. The existing grid structure was constructed with different priorities in mind and we show that its replacement can come at a prohibitive cost unless the capability of the local grid to accommodate DG is assessed very carefully.Distributed Generation. Energy Economics, Electricity Markets, Renewable Energy

"Medical + internet" concept stock investment analysis

The rapid development of China's medical industry and information technology promote the development of internet medical industry. The concept of "Healthy China" emphasizes "prevention first" and gradually transforms the traditional medical industry. It is easy to find BAT’s (Baidu, Alibaba and Tencent) investment and relevant emerging concept stocks in Ashare market. The internet medical industry is evaluated according to five category profiting models including wearable devices, medical e-commerce, medical information, Hospital and medical insurance. Around 32 selected stocks representing these industries are analysed by gathering extensive qualitative and quantitative data. By applying the forecasting analysis, the study provides the main financial strategy for the selected stocks in order to wisely select the real strategically planning internet medical companies for better investment.O rápido desenvolvimento da indústria de saúde médica da China e a tecnologia da informação têm promovido o desenvolvimento da indústria médica através da Internet. O conceito de "China Saudável" enfatiza a "prevenção em primeiro lugar" e gradualmente reverte a transformação da indústria médica tradicional. É fácil encontrar o maior investimento dos BAT (Baidu, Alibaba e Tencent) nesta área e de títulos emergentes relevantes no mercado de ações. A indústria médica interna é avaliada de acordo com cinco categorias de modelos de lucro, incluindo dispositivos vestíveis, comércio eletrónico médico, informações médicas, seguro hospitalar e médico. Cerca de 32 ações selecionadas representando essas indústrias são analisadas pela recolha de dados quantitativos e qualitativos extensivos. Ao aplicar a análise de previsão, o estudo fornece a principal estratégia financeira para as ações selecionadas, a fim de selecionar os melhores investimento nas empresas médicas assentes na Internet

Competitive Benchmarking: An IS Research Approach to Address Wicked Problems with Big Data and Analytics

Wicked problems like sustainable energy and financial market stability are societal challenges that arise from complex socio-technical systems in which numerous social, economic, political, and technical factors interact. Understanding and mitigating them requires research methods that scale beyond the traditional areas of inquiry of Information Systems (IS) “individuals, organizations, and markets” and that deliver solutions in addition to insights. We describe an approach to address these challenges through Competitive Benchmarking (CB), a novel research method that helps interdisciplinary research communities to tackle complex challenges of societal scale by using different types of data from a variety of sources such as usage data from customers, production patterns from producers, public policy and regulatory constraints, etc. for a given instantiation. Further, the CB platform generates data that can be used to improve operational strategies and judge the effectiveness of regulatory regimes and policies. We describe our experience applying CB to the sustainable energy challenge in the Power Trading Agent Competition (Power TAC) in which more than a dozen research groups from around the world jointly devise, benchmark, and improve IS-based solutions

Superfast broadband: the future is in your hands

The National Broadband Network (NBN) will deliver a comprehensive upgrade to Australia’s national broadband infrastructure. This will be of profound importance to Australia’s long-term productivity agenda. This paper, commissioned by Vodafone Australia, assesses new opportunities for the NBN. In particular, we examine how the growth of mobile services has transformed the telecommunications industry and how NBN has the potential to dramatically improve mobile telecommunications. It makes the case that the NBN, far from becoming redundant due to the explosion in mobile internet access, is in fact crucial to delivering better mobile services to both regional and urban areas without any significant increases in cost. It argues that the recent development of small mobile base stations (able to be placed on lampposts for example), connected to the NBN, can significantly increase and improve mobile coverage in both urban and regional Australia. This has the potential to radically reshape Australia’s economic and social future

A survey of simulation techniques in commerce and defence

Despite the developments in Modelling and Simulation (M&S) tools and techniques over the past years, there has been a gap in the M&S research and practice in healthcare on developing a toolkit to assist the modellers and simulation practitioners with selecting an appropriate set of techniques. This study is a preliminary step towards this goal. This paper presents some results from a systematic literature survey on applications of M&S in the commerce and defence domains that could inspire some improvements in the healthcare. Interim results show that in the commercial sector Discrete-Event Simulation (DES) has been the most widely used technique with System Dynamics (SD) in second place. However in the defence sector, SD has gained relatively more attention. SD has been found quite useful for qualitative and soft factors analysis. From both the surveys it becomes clear that there is a growing trend towards using hybrid M&S approaches

Upgrading strategies in global furniture value chains

Abstract not available

Transactive energy system

The rising of distributed energy resource (DER) e.g. rooftop PV solar system, wind system and energy storage system, and load demand response bring both opportunities and challenges to the power grid. Coordinating decentralised DERs is important. The purpose of transactive energy (TE) system is to coordinate DERs at the distribution level and encourage consumers and prosumers to participate in electricity market by providing economic incentives. TE system enables customers and prosumers to sell the surplus energy to their neighbours. This thesis represents research on TE system in aspects of structure, technology, economics and participants. The impact of TE system in Australia’s electrical standard and electricity business mode is also explored. Moreover, based on research findings, a TE system model for Australia is proposed. The key findings of this project are: • TE System is a method to relieve electricity congestion. • The power flow (distribution level) and transaction in TE system are bidirectional. • TE system is customer-oriented and offers more choices to customers/prosumers. • The new distribution system operator (DSO) plays a key role in coordinating DERs and end-users. • Undertaking a TE system demonstration project in Australia is suggested

Understanding Deregulated Retail Electricity Markets in the Future: A Perspective from Machine Learning and Optimization

On top of Smart Grid technologies and new market mechanism design, the further deregulation of retail electricity market at distribution level will play a important role in promoting energy system transformation in a socioeconomic way. In today’s retail electricity market, customers have very limited ”energy choice,” or freedom to choose different types of energy services. Although the installation of distributed energy resources (DERs) has become prevalent in many regions, most customers and prosumers who have local energy generation and possible surplus can still only choose to trade with utility companies.They either purchase energy from or sell energy surplus back to the utilities directly while suffering from some price gap. The key to providing more energy trading freedom and open innovation in the retail electricity market is to develop new consumer-centric business models and possibly a localized energy trading platform. This dissertation is exactly pursuing these ideas and proposing a holistic localized electricity retail market to push the next-generation retail electricity market infrastructure to be a level playing field, where all customers have an equal opportunity to actively participate directly. This dissertation also studied and discussed opportunities of many emerging technologies, such as reinforcement learning and deep reinforcement learning, for intelligent energy system operation. Some improvement suggestion of the modeling framework and methodology are included as well.Ph.D.College of Engineering & Computer ScienceUniversity of Michigan-Dearbornhttps://deepblue.lib.umich.edu/bitstream/2027.42/145686/1/Tao Chen Final Dissertation.pdfDescription of Tao Chen Final Dissertation.pdf : Dissertatio