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In this paper we test for (Generalized) AutoRegressive Conditional Heteroskedasticity [(G)ARCH] in daily data on 22 exchange rates and 13 stock market indices using the standard Lagrange Multiplier [LM] test for GARCH and a LM test that is resistant to patches of additive outliers. The data span...
Persistent link: https://www.econbiz.de/10011284080
The sum of squared intraday returns provides an unbiased and almost error-free measure of ex-post volatility. In this … paper we develop a nonlinear Autoregressive Fractionally Integrated Moving Average (ARFIMA) model for realized volatility …, which accommodates level shifts, day-of-the-week effects, leverage effects and volatility level effects. Applying the model …
Persistent link: https://www.econbiz.de/10011335205
This paper documents the existence of large structural breaks in the unconditional correlations among the British pound, Norwegian krone, Swedish krona, Swiss franc, and euro exchange rates (against the US dollar) during the period 1994-2003. Using the framework of dynamic conditional...
Persistent link: https://www.econbiz.de/10011343243
This paper investigates the merits of high-frequency intraday data when forming minimum variance portfolios and minimum tracking error portfolios with daily rebalancing from the individual constituents of the S&P 100 index. We focus on the issue of determining the optimal sampling frequency,...
Persistent link: https://www.econbiz.de/10011346450
simulation algorithm exists for this process, at present this is not the case for the Heston stochastic volatility model, where …
Persistent link: https://www.econbiz.de/10011349176
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univariate volatility models (including HEAVY and Realized GARCH models), using daily returns from the S&P 500, DJIA, FTSE and … result, albeit less strong, holds when compared to combined density forecasts based on equal weights. In addition, VaR … estimates improve a t the short horizon, in particular when compared to estimates based on equal weights or to the VaR estimates …
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