Essays about: "affärer"

Showing result 1 - 5 of 79 essays containing the word affärer.

  1. 1. Safety in Urban Spaces using Urban Planning: a Comparative Study in Bogotá, Colombia

    University essay from Lunds universitet/Institutionen för arkitektur och byggd miljö

    Author : Sara Sandefeldt; [2023]
    Keywords : Urban planning; Bogotá; Colombia; safety; urban design; urban spaces; women; gender; fear Stadsplanering; trygghet; publika rum; kvinnor; kön; rädsla; Arts and Architecture;

    Abstract : Many cities around the world are facing the same challenges when it comes to the ability for women to move around and feel safe in public spaces. For women, using public spaces entails fear of sexual violence and of being attacked, which forces them to always be vigilant and reduces their quality of life. READ MORE

  3. 2. WHAT DOES THE FUTURE LOOKS LIKE FOR META? : A scenario study based on the con lict between Meta and Apple

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Camila Ignacia Ställborn; [2023]
    Keywords : Business model; Business model innovation; Scenario planning; Data; Privacy; Tech Industry; Affärsmodell; Affärsmodells-innovation; Scenarion; Data; Integritet; Tech-industrin.;

    Abstract : This thesis project analyses the conflict between Meta and Apple, specifically focusing on their privacy policies and the subsequent implications for their business models and innovation strategies. This study aims to provide valuable insights into the main topics of speculation surrounding this conflict and address its objectives. READ MORE

  4. 3. Matching Trades with Confirmations via Contrastive Learning : Asymmetric Contrastive Learning on Text Data

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Markus Hector; [2023]
    Keywords : Asymmetric Contrastive Learning; Attention; GloVe; Securities Trading; Asymmetrisk kontrast-inlärning; Uppmärksamhetsmekanism; GloVe; Värdepappershandel;

    Abstract : In the banking world trades of securities are finalized every day, on behalf of the banks themselves or of their clients. When the trades have been booked by the front office the confirmations sent by the counterparty have to be checked and connected to the correct trade by hand, posing the question whether this process could not be automated using machine learning techniques. READ MORE

  5. 4. Business Operations in Armed Conflicts : An analysis of the criminal responsibilities of business executives operating in high-risk contexts

    University essay from Försvarshögskolan

    Author : Emuesiri Akpere; [2023]
    Keywords : International Criminal Law; Complicity; Business; Armed Conflicts; Internationell straffrätt; medverkan; affärer; väpnade konflikter;

    Abstract : The involvement of multinational corporations, international traders, transporters, processors, and retailers has a crucial significance in high-risk contexts there is a wide range of commercial activities that can make economic actors criminally responsible for gross violations of international humanitarian law and human rights: this includes the sale of weaponry, pillaging or commercial transactions unrelated to war. Allowing companies and their managers to shield themselves is harmful to the development of international law. READ MORE

  6. 5. LSTM-based Directional Stock Price Forecasting for Intraday Quantitative Trading

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Isabella Mustén Ross; [2023]
    Keywords : Deep Learning; Long-Short-Term-Memory LSTM ; ARIMA; Financial Time Series Forecasting; Algorithmic Trading; Intraday Trading; Stock Prediction; Djupinlärning; LSTM; ARIMA; finansiella tidsserier; algoritmisk aktiehandel; intradagshandel; aktieprediktion;

    Abstract : Deep learning techniques have exhibited remarkable capabilities in capturing nonlinear patterns and dependencies in time series data. Therefore, this study investigates the application of the Long-Short-Term-Memory (LSTM) algorithm for stock price prediction in intraday quantitative trading using Swedish stocks in the OMXS30 index from February 28, 2013, to March 1, 2023. READ MORE