Applied Financial Economics · 2002 · 15 citations · 8 references
BusinessEconomicsFinanceEconometricsFinancial EconomicsTime Series AnalysisAsset Return ModelingTime Series EconometricsTime Series ForecastingTime Series ModelingVolatility AnalysisVolatility ModelingArch ModelsConditional Autoregressive ModelsConditional Heteroskedasticity ModelsHeteroscedasticity ModelingTime Series Volatility ModelingTime-varying Volatility ModelsVolatilityVolatility Modelling
Engle's autoregressive conditional heteroscedasticity (ARCH) model has been used successfully to model volatility in modern financial data. Here the returns on 3% Consols traded on the London market from 1821 to 1860 are examined for timevarying conditional heteroscedasticity. The series contains over 10, 000 daily price changes. The analysis produces strong evidence for persistent ARCH effects in the data. Structural changes in the model and periods of increased volatility can be linked to important political and historical events.
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Richard T. Baillie · International Journal of Forecasting · 1986 · 553 citations
The Great Wave: Price Revolutions and the Rhythm of History
Nancy M. Gordon · History Reviews of New Books · 1997 · 110 citations