Adaptive Light Control System

An adaptive traffic light system for crossroads is to be developed with the control being the data obtained through fixed cameras attached to the light system. The control itself is to be adaptive as there is no need for collecting data during the time when there is no traffic at all. Thus the problem is to collect data adaptively and control the light system accordingly. The idea, of course, is not to have people wait for unnecessary amount of time along the way, while there is no traffic across roads. Though looks rather reasonable, a very good adaptive strategy and an accompanying algorithm need to be developed. The study group is asked for such an algorithm

Valuation, accounting principles, and classification of assets in the metaverse

This study explores the valuation methods, accounting principles, and asset classification systems needed for accurate financial reporting in the Metaverse. The unique characteristics of virtual assets in the Metaverse pose challenges for traditional valuation methods and require the development of comprehensive and adaptable approaches. This study utilizes qualitative research methods, including in-depth interviews with accounting professionals in Bath and Bristol, UK. Fourteen accountants were selected based on their expertise in accounting and their understanding of the Metaverse. The findings reveal that effective governance, regulatory mechanisms, and community-driven protocols influence asset values in the Metaverse. It is shaped by factors such as engagement, scarcity, and competition. Tailored accounting principles should address legal recognition, accurate tracking, jurisdictional restrictions, and risk management. Compliance with regulations, transparent reporting, and collaboration with regulatory authorities are crucial, alongside integrating innovative technologies like blockchain for robust accounting practices

Behavioral finance impacts on US stock market volatility: an analysis of market anomalies

This study investigates the impacts of behavioral finance on stock market volatility. The primary aims are to explain the reasons behind changes in the S&P 500 price within the context of behavioral finance and to analyze investor behavior in response to these changes. To achieve this, the research employs time-series analysis over a 10-year period, focusing on the S&P 500, real interest rates, consumer confidence, market volatility and credit default swaps while considering the effects of behavioral biases. The findings reveal several significant correlations: rising real interest rates negatively affect stocks due to loss aversion and sentiment. Conversely, higher consumer confidence tends to positively influence the stock market, driven by herding behavior and optimism. Additionally, market volatility shows a negative correlation with the S&P 500, influenced by risk aversion, recency bias and herding behavior. Moreover, an increase in credit default swap rates leads to stock market declines, primarily influenced by risk perception, loss aversion and herding behavior

Promoting sustainable practices through green investments in the United Kingdom real estate industry

This paper aims to examine how sustainable practices in the UK real estate industry are impacted by green investments through qualitative research, focusing on interviews with developers. The findings reveal that regulatory frameworks, market demand, financial incentives, corporate responsibility, and technological innovation are crucial factors in sustainable practices. There is a growing consumer demand for sustainable properties, supported by financial incentives like grants, tax credits, and green finance mechanisms such as green bonds. These bonds play a crucial role in promoting sustainable building practices, including energy-efficient design and renewable energy integration. The research highlights motivators for stakeholders to participate in sustainability initiatives, including financial benefits, regulatory compliance, reputation, and consumer demand, despite challenges like perceived higher costs and regulatory hurdles. This research highlights specific implications for policymakers to design effective regulatory frameworks and incentives, investors to prioritize green investments through mechanisms like green bonds, and industry professionals to enhance corporate responsibility and meet growing consumer demand for sustainable properties

Investigating performances of commercial banks in the UK by using grey relation analysis

This study employs Grey Relational Analysis to assess the financial performance of commercial banks in the UK banking system. The main aim of the study is to identify influential indicators that have an impact on the banks’ performance. Identifying influential indicators helps banks determine strategies, capitalize on strengths, address weaknesses, and assure stakeholders of their resilience and profitability in dynamic markets. Using data from 2020 to 2022, five categories— profitability, interest ratio, liquidity and funds, asset quality, and capital adequacy—were analysed. This period was chosen to reveal the impact of Covid-19 on the performance of banks in the UK. Barclays plc consistently emerges as a top performer, showcasing robust financial management. Nationwide Building Society maintains stable performance with strengths in asset quality and funding. Lloyds Banking Group demonstrates stability with good profitability and capital adequacy. Santander UK plc exhibits fluctuating performance. NatWest Group plc shows moderate fluctuations, while HSBC Holding plc and Standard Chartered plc face specific challenges. According to the results of this study, Grey Relational Analysis (GRA) is a useful tool that aids strategic decision-making and risk management. It benefits the banking sector by supporting profitability, stability, and performance. Effective interest rate management is a significant factor in maintaining stability during market fluctuations. High asset quality strengthens bank performance, while efficient liquidity management is crucial for the sustained success of banks