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This essay collection focuses on the relationship between continuous time models and Autoregressive Conditionally Heteroskedastic (ARCH) models and applications. For the first time, Modelling Stock Market Volatility provides new insights about the links between these two models and new work on practical estimation methods for continuous time models. Featuring the pioneering scholarship of Daniel Nelson, the text presents research about the discrete time model, continuous time limits and optimal filtering of ARCH models, and the specification and estimation of continuous time processes.

Stocks --- -332.63222 --- Common shares --- Common stocks --- Equities --- Equity capital --- Equity financing --- Shares of stock --- Stock issues --- Stock offerings --- Stock trading --- Trading, Stock --- Securities --- Bonds --- Corporations --- Going public (Securities) --- Stock repurchasing --- Stockholders --- Prices --- -Mathematical models --- -Electronic information resources --- E-books --- 336.763 --- -336.763 Effecten. Effectenbeurs. Stock-market. Risicodragend kapitaal. Aandelenkoers. Obligaties. Obligatiemarkt. --- Effecten. Effectenbeurs. Stock-market. Risicodragend kapitaal. Aandelenkoers. Obligaties. Obligatiemarkt. --- Continuous time. --- Mathematical models. --- 336.763 Effecten. Effectenbeurs. Stock-market. Risicodragend kapitaal. Aandelenkoers. Obligaties. Obligatiemarkt. --- Prices&delete& --- Mathematical models --- Effecten. Effectenbeurs. Stock-market. Risicodragend kapitaal. Aandelenkoers. Obligaties. Obligatiemarkt --- Investments --- Continuous time