Sökning: "Volatilitet mått"

Visar resultat 1 - 5 av 25 uppsatser innehållade orden Volatilitet mått.

  1. 1. Risk Management and Sustainability - A Study of Risk and Return in Portfolios With Different Levels of Sustainability

    Master-uppsats, KTH/Matematik (Avd.)

    Författare :Magnus Borg; Lucas Ternqvist; [2023]
    Nyckelord :ESG; Value-at-Risk VaR ; Expected Shortfall ES ; Risk Management; Financial Risk; Financial Mathematics; Sustainability; Portfolio Management; Capital Asset Pricing Model CAPM ; Hållbarhet; Value-at-Risk VaR ; Expected Shortfall ES ; Riskhantering; Finansiell Risk; Finansiell Matematik; Portföljkonstruktion;

    Sammanfattning : This thesis examines the risk profile of Electronically Traded Funds and the dependence of the ESG rating on risk. 527 ETFs with exposure globally were analyzed. Risk measures considered were Value-at-Risk and Expected Shortfall, while some other metrics of risk was used, such as the volatility, maximum drawdown, tail dependece, and copulas. LÄS MER

  3. 2. Volatilitetsprognoser på den amerikanska aktiemarknaden : En kvantitativ studie om den implicita volatilitetens prognosförmåga på realiserad volatilitet

    Magister-uppsats, Linköpings universitet/Institutionen för ekonomisk och industriell utveckling; Linköpings universitet/Filosofiska fakulteten

    Författare :Robert Lindahl; Carl Kylberg; [2022]
    Nyckelord :Implicit volatilitet; realiserad volatilitet; optioner; handelsvolym; löptid; prognos; HAR; heterogeneous autoregressive; linjär regression;

    Sammanfattning : Bakgrund: För att kunna ta välgrundade finansiella beslut, behöver aktörer göra prognoser om vad som kommer ske i framtiden. Detta har medfört att både forskare och praktiker har byggt olika modeller som syftar till att prognostisera framtiden. LÄS MER

  4. 3. Skillnader i kvinnor och mäns investeringsbeteende : Svenska aktieinvesterares psykologiska bias, aktiepreferenser och dess långsiktiga konsekvenser

    Master-uppsats, Linköpings universitet/Nationalekonomi; Linköpings universitet/Filosofiska fakulteten; Linköpings universitet/Företagsekonomi

    Författare :Charlotta Kortered; Ida Tillas; [2022]
    Nyckelord :Investment behavior; women and men; stock preferences; Modern portfolio theory; behavioral economics; Sweden; bias; risk exposure; Investeringsbeteende; kvinnor och män; aktiepreferenser; moderna portföljvalsteorin; beteendeekonomi; Sverige; bias; riskexponering;

    Sammanfattning : The purpose of this thesis is to analyze differences between stock preferences of women and men in Sweden and analyze what portfolio characteristics and long-term effects that are revealed by investing in the stocks than men and women prefer. To fulfill the purpose of the thesis, two fictious portfolios have been created which are based on data from the reports “Aktieägandet i Sverige” by Euroclear. LÄS MER

  5. 4. Ger högre risk verkligen en högre avkastning? : En kvantitativ studie om risk och avkastning på Frankfurtbörsen

    Kandidat-uppsats, Södertörns högskola/Företagsekonomi

    Författare :Sebastian Andersson; Sharon Temesgen; [2022]
    Nyckelord :Risk; return; beta; volatility; correlation; regression; Risk; avkastning; beta; volatilitet; korrelation; regression;

    Sammanfattning : As an investor, the goal is to get as high return at as low risk as possible on an invested stock. Theories show a positive relationship between high risk and high return. However, there are studies that contradict this statement, which creates misleading investors. LÄS MER

  7. 5. Volatility Forecasting using GARCH Processes with Exogenous Variables

    Master-uppsats, KTH/Matematisk statistik

    Författare :Ellis Larson; [2022]
    Nyckelord :Stochastic process; GARCH model; Volatility; Exogenous variables; Evaluation metrics.; GARCH; Volatilitet; Exogena variabler; Evalueringsmetriker.;

    Sammanfattning : Volatility is a measure of the risk of an investment and plays an essential role in several areas of finance, including portfolio management and pricing of options. In this thesis, we have implemented and evaluated several so-called GARCH models for volatility prediction based on historical price series. LÄS MER