Search for dissertations about: "Volatility Forecasting Techniques"

Found 3 swedish dissertations containing the words Volatility Forecasting Techniques.

  2. 1. Essays on Realized Volatility and Jumps

    Author : Marcus Larsson; Nationalekonomiska institutionen; []
    Keywords : SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; Jumps; Bi-power variation; High frequency data; Realized volatility;

    Abstract : Financial markets sometimes generate significant discontinuities, so called jumps, triggered by large informational shocks and extreme events. In the last decade, there is an increasing interest in financial economics towards modeling these jumps which may have significant consequences for risk management, and portfolio allocation. READ MORE

  4. 2. Essays on Risk in International Financial Markets

    Author : Ola Larsson; Nationalekonomiska institutionen; []
    Keywords : SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; volatility; Value at Risk; copulas; Economics; econometrics; economic theory; economic systems; economic policy; Nationalekonomi; ekonometri; ekonomisk teori; ekonomiska system; ekonomisk politik; Financial science; Finansiering;

    Abstract : This thesis deals with techniques to model risk in financial markets and consists of four separate essays. The thesis begins with an introduction in chapter one, while chapter two to chapter five contains the four essays. The first essay examines the implication of using various risk measures for portfolio selection. READ MORE

  5. 3. Essays on Financial Markets

    Author : Hans Byström; Nationalekonomiska institutionen; []
    Keywords : SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; Electricity Futures; Option Pricing; Compass Rose; Covariance Matrix; Chaos; Stochastic Volatility; Financial Markets; GARCH; Financial science; Finansiering;

    Abstract : This thesis consists of five empirical essays dealing with different issues related to financial markets. Chapter 2 studies a new multivariate technique, Orthogonal GARCH, of forecasting large covariance matrices based on GARCH models. READ MORE