Non-linear and Non-Gaussian Time Series Modeling
The research in this area is concentrated on understanding complex, non-linear stochastic time series, particularly in the context of finance. Researchers focus on statistical methods for these intricate systems and apply them to financial scenarios. Various versions of GARCH-type volatility models are explored to analyze statistical aspects of conditional heteroscedastic models, commonly used in
