Sökning: "Time varying copula"

Hittade 3 uppsatser innehållade orden Time varying copula.

  1. 1. Dependence structure and risk spillovers between real estate and stock markets: An application of VMD based time-varying copula approach

    D-uppsats, Handelshögskolan i Stockholm/Institutionen för finansiell ekonomi

    Författare :Ran Tao; Xin Yuan; [2018]
    Nyckelord :Time varying copula; Variational mode decomposition; Risk spillovers; CoVaR; delta CoVaR;

    Sammanfattning : In this thesis, we combine copulas with the variational mode decomposition (VMD) method to explore the dependence structure between real estate and stock market in three countries, namely China, U.S. and Australia. LÄS MER

  3. 2. The Performance of Market Risk Models for Value at Risk and Expected Shortfall Backtesting : In the Light of the Fundamental Review of the Trading Book

    Master-uppsats, KTH/Matematisk statistik

    Författare :Katja Dalne; [2017]
    Nyckelord :Risk Management; Financial Time Series; Value at Risk; Expected Shortfall; Monte Carlo Simulation; GARCH modeling; Copulas; Hybrid Distribution; Generalized Pareto Distribution; Extreme Value Theory; Backtesting; Liquidity Horizon; Basel regulation.;

    Sammanfattning : The global financial crisis that took off in 2007 gave rise to several adjustments of the risk regulation for banks. An extensive adjustment, that is to be implemented in 2019, is the Fundamental Review of the Trading Book (FRTB). LÄS MER

  4. 3. Investment in Value: A Copula Approach

    D-uppsats, Handelshögskolan i Stockholm/Institutionen för finansiell ekonomi

    Författare :Gustaf Soldan Patrikson; Victor Andrée; [2016]
    Nyckelord :factor investing; copula; tail dependence; diversification;

    Sammanfattning : We evaluate how factor equity strategies are optimally combined, focusing on the role of the value factor (HML) against the background of a recent academic discussion about its potential redundancy, and the discovery of the investment (CMA) and profitability (RMW) factors. The analysis is centered around a conditional joint return distribution from a dynamic copula model, which allows for simulation with a time-varying and non-normal dependence structure. LÄS MER