Essays about: "Leptokurtic GARCH models"

Showing result 1 - 5 of 7 essays containing the words Leptokurtic GARCH models.

  1. 1. GARCH models applied on Swedish Stock Exchange Indices

    University essay from Uppsala universitet/Statistiska institutionen

    Author : Wiktor Blad; Vilim Nedic; [2019]
    Keywords : Value-at-Risk; GARCH; GJR-GARCH; EGARCH; student´s t distribution; generalized error distribution; Kupiec´s test; Chrisoffersen´s test; forecast;

    Abstract : In the financial industry, it has been increasingly popular to measure risk. One of the most common quantitative measures for assessing risk is Value-at-Risk (VaR). VaR helps to measure extreme risks that an investor is exposed to. READ MORE

  3. 2. A simple model of volatility in financial data - An alternative to GARCH models

    University essay from Lunds universitet/Statistiska institutionen

    Author : Alexandra Milton; Marcus Svensson; [2019]
    Keywords : Volatility; Financial time series; Autoregressive gamma process; Generalized Laplace distribution; Autoregressive gamma variance Gaussian mixture model; Mathematics and Statistics;

    Abstract : Financial return series are often characterized by volatility clusters and a leptokurtic distribution. Many models that account for these properties exist, with the GARCH model proposed by Bollerslev (1986) being the most popular. This thesis explores an alternative model to capture the stochastic volatility in financial time series. READ MORE

  4. 3. Are GARCH Models Appropriate for Analysing Volatility Structures in Fundamental Valuations of the OMXS30?

    University essay from Lunds universitet/Statistiska institutionen

    Author : Gustav Furenmo; [2019]
    Keywords : GARCH; OMXS30; financial time series; volatility; heteroscedasticity; stationarity; McLeod-Li test; normal distribution; student-t distribution; skewed student-t distribution; generalised error distribution; skewed generalised error distribution; Mathematics and Statistics;

    Abstract : This thesis investigates the volatility structures found in forward-looking fundamental valuations of the Swedish stock index OMXS30. The evaluated data constitutes daily observations of P/E ratios based on twelve months earnings estimates during the period 2009-01-02 until 2018-10-18. READ MORE

  5. 4. Predicting Uncertainty in Financial Markets : -An empirical study on ARCH-class models ability to estimate Value at Risk

    University essay from Uppsala universitet/Statistiska institutionen

    Author : Arvid Nybrant; Henrik Rundberg; [2018]
    Keywords : VaR; GARCH; Volatility Forecasting; Backtesting; Conditional Heteroscedasticity;

    Abstract : Value at Risk has over the last couple of decades become one of the most widely used measures of market risk. Several methods to compute this measure have been suggested. READ MORE

  6. 5. An Empirical Analysis of the Influence of Jump Dynamics on Value-at-Risk Estimation

    University essay from Lunds universitet/Nationalekonomiska institutionen

    Author : Christian Vogl; [2016]
    Keywords : GARJI; Autoregressive Conditional Jump Intensity; Leptokurtic GARCH models; VaR; Backtesting; Business and Economics;

    Abstract : Abstract Recent financial crises have demonstrated the importance of accurately measuring financial risks in order to be able to employ mitigating risk policies. This essay investigates the question whether a GARCH model augmented by an autoregressive conditional jump intensity component can improve value-at-risk forecasts in comparison to common GARCH models. READ MORE