Sökning: "CAR event"
Visar resultat 1 - 5 av 128 uppsatser innehållade orden CAR event.
1. Coronapandemins påverkan på val av betalningsmetod vid M&A-affärer En jämförelse av högteknologiska branscher och övriga branscher
Kandidat-uppsats, Göteborgs universitet/Företagsekonomiska institutionenSammanfattning : The aim of this study is to increase the knowledge regarding mergers and acquisitions (M&A) on the Swedish public market during the Covid-19 pandemic. The study focuses on examining whether the payment methods in M&As differ between high-tech industries and other industries. LÄS MER
2. Malus-systemet : En kvantitativ studie om huruvida avskaffandet av bonusen i bonus-malus-systemet har påverkat konsumtionen av miljöbilar
Kandidat-uppsats, Uppsala universitet/Nationalekonomiska institutionenSammanfattning : 1 juli 2018 lanserades bonus-malus-systemet i Sverige i syfte att öka andelen miljöbilar i den svenska fordonsflottan. Den 8 november 2022, valde regeringen att avskaffa bonusen i systemet, då man menade att marknaden nu hade åtgärdat de problem som systemet var till för att lösa. LÄS MER
3. Lockup expiration after IPO : Potentially abnormal returns on the Swedish Stock Exchange?
Master-uppsats, Uppsala universitet/Företagsekonomiska institutionenSammanfattning : We examine 102 share lockup agreements following IPOs on the Swedish stock market and whether any abnormal returns exist in the days surrounding the expiration of lockup agreements. We also test three potential explanatory variables based on previous research, the length of the lockup agreement, the type of pre-IPO ownership for the firm (if it is backed by private equity or not), and if the lockup has multiple expiration dates (staggered lockup) or only one. LÄS MER
4. Trainable Region of Interest Prediction: Hard Attention Framework for Hardware-Efficient Event-Based Computer Vision Neural Networks on Neuromorphic Processors
Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknikSammanfattning : Neuromorphic processors are a promising new type of hardware for optimizing neural network computation using biologically-inspired principles. They can effectively leverage information sparsity such as in images from event-based cameras, and are well-adapted to processing event-based data in an energy-efficient fashion. LÄS MER
5. Unlocking Shareholder Value : A Study of Mergers and Acquisitions in Sweden
Master-uppsats, Uppsala universitet/Företagsekonomiska institutionenSammanfattning : This thesis examines whether mergers and acquisitions (M&A), ranging from 2009 to 2020, are value-generating for acquiring shareholders in the short-term and long-term of companies listed on the Stockholm Stock Exchange. A cohesive and integrated theoretical framework is formed in which six firm-specific and deal-specific variables are hypothesized to have varying impacts on both short- and long-term stock performance for acquiring shareholders. LÄS MER