Sökning: "behavioural bias"

Visar resultat 1 - 5 av 46 uppsatser innehållade orden behavioural bias.

  1. 1. Patience, the feminine virtue of investing : A mixed-methods approach to studying gender-based investment behaviours and the investment gap.

    Magister-uppsats, Jönköping University/IHH, Företagsekonomi

    Författare :Agnes Eriksson; Elsa Leijon; [2023]
    Nyckelord :Investment Gap; Investment Behaviour; Overconfidence; Risk; Financial Literacy; Financial Advisory; Stereotypes; Gender Bias;

    Sammanfattning : Background – This study discusses gender-based differences in investment behaviour and its economic consequences. Despite significant advancements in gender equality, inequalities such as the gender wealth gap exist. This paper explores the difference in investment behaviour and factors that influence said behaviour. LÄS MER

  3. 2. Data Misinterpretation: A Consequence of Data Structure? : A Cognitive Imperfection and Its Economic Implications

    Kandidat-uppsats, Jönköping University/Internationella Handelshögskolan

    Författare :Balázs Faragó; Joakim Ben David; [2023]
    Nyckelord :Data Misinterpretation; Behavioural Economics; Policy Decision-Making; Cognitive Bias; Convex Hull; Agent-Based Computational Economics;

    Sammanfattning : This study examines the claim that individuals misinterpret the mean of a dataset (displayed as a scatterplot) more when the convex hull of the dataset is less representative of the data. In addition, this study also tests whether outliers in the data can predict the magnitude of error that individuals make in interpreting the mean of the dataset. LÄS MER

  4. 3. Evaluating Data Quality for behavioural event data using semiotic theory : Analysing how data roles perceive Data Quality and how it is influenced by Data Quality awareness and experience

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

    Författare :Eleonora Greta Luisa Borzi; [2023]
    Nyckelord :Data Quality; semiotic framework; big data; data roles; Datakvalitet; semiotiskaramverket; big data; dataroller;

    Sammanfattning : Today companies are handling and producing big data. To maximise the value of the data, companies need to achieve high data quality (DQ), and be able to measure it. This study analyses if semiotic framework is suitable to asses DQ for big data, specifically for behavioural event data. LÄS MER

  5. 4. Generation Z:s investeringsbeteende i ingången av en lågkonjunktur : En kvantitativ studie om börspsykologiska faktorers påverkan på generation Z:s investeringsbeslut

    Kandidat-uppsats, Högskolan i Skövde/Institutionen för ingenjörsvetenskap

    Författare :Hanna Boström; Samuel Dahlström; [2023]
    Nyckelord :Behavioural finance; bias; generation Z; recession; financial decision; overconfidence; confirmation bias; herding behaviour; representativeness bias; anchoring bias; misattribution bias; risk- and loss aversion; Behavioural finance; bias; generation Z; lågkonjunktur; investeringsbeslut; overconfidence; confirmation bias; herding behaviour; representativeness bias; anchoring bias; misattribution bias; risk- and loss aversion;

    Sammanfattning : Bakgrund: Efter många år av högkonjunktur är den svenska ekonomin prognostiserad att föras in i en lågkonjunktur under 2023. Hög inflation hanteras med stigande räntor vilket påverkar investerare på flera sätt, men det finns också en rad börspsykologiska faktorer som kan ha en inverkan på investerare och deras beslut. LÄS MER

  7. 5. Financial Literacy's Effect on Overconfidence

    Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Företagsekonomi

    Författare :Christoffer Byfält; Jakob Tunved; [2023]
    Nyckelord :Financial Literacy; Overconfidence; Trading Frequency; Behavioral Finance; Better than average effect; Miscalibration;

    Sammanfattning : The concept of behavioural finance has taken more ground concerning the traditional finance paradigm during the last decade. A vital part of the behavioural finance theorem is the subject of behavioural biases and the mistakes these biases have on private stock investors. LÄS MER