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Daily exchange rate behaviour and hedging of currency risk
Bos, Charles S.; Mahieu, Ronald J.; Dijk, Herman K. van - 1999
methods. The effects of several model characteristics(unit roots, GARCH, stochastic volatility, heavy tailed …
Persistent link: https://www.econbiz.de/10011302131
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Daily exchange rate behaviour and hedging of currency risk
Bos, Charles S.; Mahieu, Ronald J.; Dijk, Herman K. van - 2001
methods. The effects ofseveral modelcharacteristics (unit roots, GARCH, stochastic volatility, heavy taileddisturbance …
Persistent link: https://www.econbiz.de/10011313921
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The euro introduction and non-euro currencies
Dijk, Dick van; Munandar, Haris; Hafner, Christian M. - 2006
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
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Daily exchange rate behaviour and hedging of currency risk
Bos, Charles S.; Mahieu, Ronald J.; Dijk, Herman K. van - 2000 - rev.
Persistent link: https://www.econbiz.de/10001554496
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Daily exchange rate behaviour and hedging of currency risk
Bos, Charles S.; Mahieu, Ronald J.; Dijk, Herman K. van - 1999
Persistent link: https://www.econbiz.de/10001412189
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Nonlinear time series and neural-network models of exchange rates between the US Dollar and major currencies
Allen, David E.; McAleer, Michael; Peiris, Shelton; … - 2015
in US dollar terms. Euro, British pound, Chinese yuan, and Japanese yen are modelled using a variety of non-linear models …
Persistent link: https://www.econbiz.de/10011378229
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Price discovery on foreign exchange markets with differentially informed traders
Jong, Frank de; Mahieu, Ronald J.; Schotman, Peter C.; … - 1999
This paper uses Reuters exchange rate data to investigate thecontributions to the price discovery process by individual banks in theforeign exchange market. We propose multivariate time series models aswell as models in tick time to study the dynamic relations between thequotes of individual...
Persistent link: https://www.econbiz.de/10011301161
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Asymmetries in conditional mean and variance : modelling stock returns by asMA-asQGARCH
Brännäs, Kurt; Gooijer, Jan G. de - 2000
The asymmetric moving average model (asMA) is extended to allow forasymmetric quadratic conditional heteroskedasticity (asQGARCH). Theasymmetric parametrization of the conditional variance encompassesthe quadratic GARCH model of Sentana (1995). We introduce a framework fortesting asymmetries in...
Persistent link: https://www.econbiz.de/10011303289
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Modeling and forecasting S&P 500 volatility : long memory, structural breaks and nonlinearity
Martens, Martin; Dijk, Dick van; Pooter, Michiel de - 2004
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
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Stock index volatility forecasting with high frequency data
Hol Uspensky, Eugenie; Koopman, Siem Jan - 2002
improved ex-post volatility measurements but has also inspired research into their potential value as an informa-tion source … for longer horizon volatility forecasts. In this paper we explore the forecasting value of these high fre-quency series in … conjunction with a variety of volatility models for returns on the Standard & Poor's 100 stock index. We consider two so …
Persistent link: https://www.econbiz.de/10011326944