Browsing by Author "Karlsson, Anton"
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Item Insynshandel som indikator på övervavkastning(2019-07-09) Karlsson, Anton; Regnstrand, William; University of Gothenburg/Department of Economics; Göteborgs universitet/Institutionen för nationalekonomi med statistik; University of Gothenburg/Department of Business Administration; Göteborgs universitet/Företagsekonomiska institutionenThe purpose of the thesis is to investigate whether it is possible to predict future excess returns at the Swedish stock market by observing the insiders' aggregate purchase transactions within the company. The study used two different categories of companies. One group of the bigger companies at the Swedish stock market and one group of the smaller ones. The study used three different time periods consisting of one week, one month and twelve months. The time periods refer to the relative return and the aggregate insiders' purchases in the stocks. The thesis is done with an alpha of 5 %. The results for one-week Small companies showed that the stock generates 0,955 % excess returns for every million SEK insiders' purchases in that stocks during that period. The regression for one-month Small companies showed that the stock generates 1,37 % excess returns for every million SEK insiders' purchases in that stocks during that period. The other regressions showed no statistical significance for the dependent variable. The discussion focuses on the potential causes to the differences in the result between the two groups of companies.Item En kvittoskannare Implementering av optisk teckenigenkänning för Android-enheter(2014-02-27) Andreasson, Josefina; Fridén, Mattias; Geijer, Cecilia; Gustavsson, Johan; Jansson, Johannes; Karlsson, Anton; Göteborgs universitet/Institutionen för data- och informationsteknik; University of Gothenburg/Department of Computer Science and EngineeringRapporten är ett kandidatarbete som utfördes under våren 2013 vid Institutionen för Data- och Informationsteknik, Chalmers Tekniska Högskola. I rapporten beskrivs utvecklingen av en applikation för att fotografera kvitton och med hjälp av optisk teckenigenkänning lagra informationen från dem på en smart mobiltelefon. Projektgruppen önskar tacka Sven-Arne Andreasson för den tid han lagt på att handleda projektet. Projektgruppen önskar även tacka Magnus Gustafsson och Anna-Lena Fredriksson på Avdelningen för Fackspråk och Kommunikation på Chalmers för den vägledning de gett under arbetet med rapporten.Item Residual value risk in car leasing - A case study on residual value measurements(2021-06-24) Karlsson, Anton; Regnstrand, William; University of Gothenburg/Graduate School; Göteborgs universitet/Graduate SchoolBackground & Purpose: The lessor's risk of guaranteeing a residual value for a car has grown as leasing has emerged as a popular financing alternative. As there is no active market for such values, it is a matter of estimating a residual value with high measurement uncertainty. Prior research has focused on developing statistical models for estimating future residual values of cars. However, there is a lack of research which has had an operational perspective to the issue and examined how lessors actually handle the problem of estimating a reliable residual value. The purpose of this study is therefore to shed light upon how a lessor of cars practically handles residual value calculations. Methodology: We have conducted a single case study on a large company active within financing of cars, referred to as Financier AB. The material consists of six online video interviews including five managers with relevant knowledge and different perspectives on the issue of estimating a residual value of a car. Findings & Conclusions: In the study we draw several conclusions. We find that there is a lack of attention given to e.g., soft values in prior research, even though we demonstrate its relevance in practice. We also find that the case company does not use any statistical model when setting their residual values. This finding differs greatly from previous research in the area, where most researchers have developed different statistical models to estimate the residual value. From a fair value measurement perspective, we conclude that the residual value estimations vary between level 2 and 3 input depending on the leasing object and its position in the life cycle. Lastly, we conclude that there is a difference in objectives between earlier research encompassing residual value estimation and practice. Within earlier research, the objective has been to forecast a true future value of a car, while in practice the objective was to estimate a value which is workable from multiple perspectives.