Due to the COVID-19 outbreak, industries have gained a thrust on contactless processing for computing technologies and industrial automation. Cloud of Things (CoT) is one of the emerging computing technologies for such applications. CoT combines the most emerging cloud computing and the Internet of Things. The development in industrial automation made them highly interdependent because the cloud c

In this chapter, I address the “containment” of meaning in relation to questions of authorship (or lack of authorship) in biblical studies. By revisiting Roland Barthes’ and Michel Foucault’s critiques of the author figure, I suggest that the implication for biblical studies is the opening of meaning-making beyond the figure of the author in his or her original context. Engaging with Brennan Breed

The encoding of goal-oriented motion events varies across different languages. Speakers of languages without grammatical aspect (e.g., Swedish) tend to mention motion endpoints when describing events (e.g., “two nuns walk to a house”) and attach importance to event endpoints when matching scenes from memory. Speakers of aspect languages (e.g., English), on the other hand, are more prone to direct

This opening article introduces the reader to current topics in research on language and thought in monolingual speakers and second language (L2) learners, with particular attention to the domain of motion. The article also delineates the rationale that underlies the special issue at hand, and provides a contextualisation of the individual contributions. It is argued that the centrality of motion

This study aims to analyze how corruption affects the relationship between international trade and child development. Geographically, this study focuses on Sub-saharan Africa, since it has the highest levels of child mortality as well as the highest perceived corruption levels in the world. To evaluate this relationship, a fixed-effects model with robust standard errors has been implemented. The p

This study aims to analyse how the competition in the Swedish banking market affects major banks´ net interest income, which has increased dramatically over the past two years. To gain a broader understanding of factors affecting the net interest income of the Swedish major banks, this study has identified eight independent variables that according to prior research determine the net interest inco

The 2010s have raised questions about the influence of small central banks in an integrated economy. This thesis investigates the efficacy of the Swedish Riksbank and the effect of economic integration since the adoption of a floating exchange rate in 1993. Theoretically, I examine how financial integration and trade may impact the Mundell-Fleming trilemma. To investigate the impact of integration

This thesis investigates the inflationary impact of the European Electricity Market on its member countries, including the EU28, Norway, and Switzerland, from 2003 to 2019. The research question particularly focuses on whether this market impacts the level of inflation in its net exporting member countries. Utilising two panel data regression models, we explore the market's impact on the rate

This thesis examines the impact of the European Union's development aid on export and import levels in Sub-Saharan Africa, focusing on the role of democracy levels in the recipient countries. Using a multiple regression model with panel data from 1990 to 2018 across 27 countries, the study assesses the influence of the EU’s aid on trade, while also considering the factors GDP, population, life

This paper examines the effect of the recurrent tax on immovable property on wealth distribution. It also investigates how the wealth distributive effect of property prices is affected by the homeownership rate in a country. Data on the mean to median wealth ratio, tax sizes, property prices, homeownership rate, and economic freedom of 36 OECD member countries over the years 2000-2021 are used to

This thesis investigates the application of sentiment analysis in predicting stock returns for the companies listed in the OMXS30 index. The recent development of large language models (LLMs), like ChatGPT, has substantially advanced the field of sentiment analysis. This thesis utilizes Meta’s LlaMA 2 LLM for sentiment analysis, while a random forest model is employed to predict monthly stock retu

This case study aims to answer how Swedish agriculture adapts to increased electricity prices, as well as the subsidy on electricity provided by the Swedish government in 2023. The study uses data from 10 interviews with firms in the sector and a microeconomic production theory for analysis. The results indicate that the total production of firms is not affected by the increased price. However, a

As the processing power of computers continuously increase so does the interest for machine learning and artificial intelligence. This thesis evaluates the forecasting performance of both machine learning models and common auto-regressive models on the Swedish stock market index OMXS30 on the Stockholm stock exchange during the 2008 financial crises. Forecasts are performed 3, 6 and 12 months ahea

This paper explores whether rising gang-related crime in Sweden affects investment decisions in the Swedish stock market, particularly examining if its impact varies between Swedish and foreign investors. The study focuses exclusively on public owners, leaving out non-public entities like small investors. Utilizing data from 2004 to 2023, which includes the 30 most traded Swedish stocks, two hypot

This thesis investigates the impact of short-term rates and the yield curve on the four major Swedish banks profitability. The paper also exploits possible differences from the impact of the yield curve between the each of the four banks. By using quarterly panel data between Q1 1998 and Q3 2023 in two regression models, the impact of short-term rates and the yield curve on return on equity and ne

This research delves into the nuanced relationship between Environmental, Social, and Governance (ESG) considerations and portfolio performance in the Nordic stock market. Employing the mean-variance method, this study analyzes in-sample (2013-2017) and out-of-sample (2018-2023) periods, comparing high and low-rated E-, S-, G-, and ESG portfolios against the Nordic index OMX40. Findings suggest a

The amount of people in Sweden that studies on a higher level has increased a fair amount during the period 1990-2020. With a higher level of education, the graduates expect to be compensated for the time spent, with, for instance, a higher salary. Although during the same time studied, data and statistics show a negative trend regarding the profitability of the education, meaning that graduates r