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We consider the problem of estimating the conditional quantile of a time series at time t given observations of the same and perhaps other time series available at time t - 1. We discuss sieve estimates which are a nonparametric versions of the Koenker-Bassett regression quantiles and do not...
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, the paper analyzes the returns correlation, serial correlation and heteroscedasticity on the NSE All-share Index, Banking … conditional heteroscedasticity Lagrange multiplier (ARCHLM) techniques in conducting the empirical analysis. Descriptive …, estimates from the ARCHLM model provide evidence of heteroscedasticity in most of the sectors’ returns. Overall results from the …
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distribution. The moments with conditional heteroscedasticity have been discussed. In a Monte Carlo experiment, it was found that …
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obtained from Linear Models and Conditional heteroscedasticity models …
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