Essays about: "Excess kurtosis"

Found 3 essays containing the words Excess kurtosis.

  1. 1. Considering Tail Events in Hedge Fund Portfolio Optimization

    University essay from Linköpings universitet/Produktionsekonomi

    Author : Josefin Bladh; Holm Greta; [2021]
    Keywords : Portfolio Optimization; Hedge Funds; Tail Events; Mean-CVaR;

    Abstract : The Fourth Swedish National Pension Fund (AP4), as well as many other large investors, has noted deficiencies the Mean-Variance framework for portfolio management of asset with non-normal characteristics. The main problem apparent in the Mean-Variance framework, when investing in alternative assets such as hedge funds, is the lacking systematic control of the balance between the measurements of risk due normal variation and tail-risk. READ MORE

  3. 2. Downside risk: is downside risk being priced in the U.S. stock market?

    University essay from

    Author : Raouf Bahsoun; Arsalan Hakimi; [2020-07-06]
    Keywords : Excess kurtosis; skewness; Value-at-Risk; Expected shortfall; semi deviation; downside beta; Sortino ratio; Fama-French three-factor model; Fama French Five Factor model; Carhart four-factor model; q-four factor model; q-five factor model; asset pricing; U.S. stock market;

    Abstract : This paper aims to add further research to the field of downside risk, and downside risk measures’ influence on the average returns in the U.S. stock market. READ MORE

  4. 3. Forecasting Swedish Stock Market Volatility and Value-at-Risk: A Comparison of EWMA and GARCH Models

    University essay from Lunds universitet/Nationalekonomiska institutionen

    Author : Carl Nilsson; [2017]
    Keywords : volatility forecasting; VaR; GARCH; model confidence set; Business and Economics;

    Abstract : In this study we compare different volatility models on their ability to forecast one day ahead volatility and value-at-risk (VaR). We compare five different GARCH specifications: GARCH, IGARCH, GJR-GARCH, EGARCH and APARCH, as well as EWMA, each paired with six different conditional distributions. READ MORE