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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 …
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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...
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To investigate how economies, financial markets or institutions can deal with stress, we nowadays often analyze the effects of shocks conditional on a recession or a bear market. MSVAR models are ideally suited for such analyses because they combine gradual movement with sudden switches. In this...
Persistent link: https://www.econbiz.de/10012621564
We study the link between the profitability of momentum strategies and firm size, drawing on an extensive dataset covering 14 stock markets across the globe. International momentum profitability is markedly higher in medium-size than in big stocks. Momentum premia are considerably diminished by...
Persistent link: https://www.econbiz.de/10011412159
We show that in recent years global factor models have been catching up significantly with their local counterparts in terms of explanatory power (R2) for international stock returns. This catch-up is driven by a rise in global factor betas, not a rise in factor volatilities, suggesting that the...
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