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One puzzling behavior of asset returns for various frequencies is the often observed positive autocorrelation at lag 1 …
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In this paper we introduce a bootstrap procedure to test parameter restrictions in vector autoregressive models which is robust in cases of conditionally heteroskedastic error terms. The adopted wild bootstrap method does not require any parametric specification of the volatility process and...
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, the paper analyzes the returns correlation, serial correlation and heteroscedasticity on the NSE All-share Index, Banking … descriptive statistics, autocorrelation function (ACF) and Ljung-Box Q (LB-Q) statistics, as well as the autoregressive … conditional heteroscedasticity Lagrange multiplier (ARCHLM) techniques in conducting the empirical analysis. Descriptive …
Persistent link: https://www.econbiz.de/10011862130
Although the main interest in the modelling of electricity prices is often on volatility aspects, we argue that stochastic heteroskedastic behaviour in prices can only be modelled correctly when the conditional mean of the time series is properly modelled. In this paper we consider different...
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