Sökning: "Excessive Returns"

Visar resultat 1 - 5 av 18 uppsatser innehållade orden Excessive Returns.

  1. 1. Unveiling the Predictive Power

    Kandidat-uppsats, Lunds universitet/Nationalekonomiska institutionen

    Författare :Alex Lundvall; Gabriel Ahonen; [2023]
    Nyckelord :Stock market returns; Macroeconomic indicators; Vector Autoregression model; Granger Causality test; Business and Economics;

    Sammanfattning : To obtain excessive returns on the stock market, investors should be able to effectively forecast what drives the fluctuations of the stock market. The usage of macroeconomic factors as indicators for stock market performances has been utilized more profoundly in recent times. LÄS MER

  3. 2. Coverage initiations : an exploratory casestudy

    Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)

    Författare :Lina Ek; Maria Karlsson Osipova; [2023]
    Nyckelord :Commissioned equity research; Initiation report; Event study; Abnormal return; Trading volume; Uppdragsanalys; Initieringsrapport; Eventstudie; Abnormal avkastning; Handelsvolym;

    Sammanfattning : This master thesis is exploring the influence of coverage initiation reports issued by commissioned equity research analysts on stock prices and trading volumes. Equity research actors, with their expertise and skill, are providing the market with valuable information and filling the knowledge gaps that investors may have. LÄS MER

  4. 3. Innovation Investments During The COVID-19 Pandemic

    Magister-uppsats, Lunds universitet/Företagsekonomiska institutionen

    Författare :Philip Kellerman; Gustav Lingevik; [2023]
    Nyckelord :Innovation investments; Risk and crisis management; Abnormal returns; Economic performance; R D; COVID-19 Pandemic; Business and Economics;

    Sammanfattning : The authors of this paper identified a gap in the debate revolving around innovation during a crisis and recognized the importance of exploring whether being highly innovative is universally desirable across all sectors during times of crisis. While previous research has emphasized the positive impact of innovation on performance, it is essential to investigate the negative impact of innovation and whether there are limitations or thresholds beyond which excessive innovation may have diminishing returns or unintended consequences for small and medium sized companies. LÄS MER

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

    Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Isabella Mustén Ross; [2023]
    Nyckelord :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;

    Sammanfattning : 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. LÄS MER

  7. 5. Returbeteendet av kläder online : En kvantitativ studie om hur konsumenters returbeteende påverkas av deras attityder och företags returpolicy

    Kandidat-uppsats, Högskolan i Borås/Akademin för textil, teknik och ekonomi

    Författare :Elina Lanndalen; Elin Semmingsson; Julia Airey; [2022]
    Nyckelord :Return behaviour; return attitude; return policy; e-commerce; online; consumer; Returbeteende; returattityd; returpolicy; e-handel; online; konsument;

    Sammanfattning : Returbeteendet för kläder köpta online ökar i takt med digitaliseringen. Milda returpolicys gör det lättare för konsumenter att utföra returer, inte minst avsiktliga returer. Genom fria returer kan konsumenten enkelt beställa hem stora mängder i varierande storlekar med avsikten att returnera hela eller delar av beställningen. LÄS MER