The main goal of this study is to present an application of recurrence-based techniques in analyzing certain aspects of interrelations among stock indices of the world. In the past, financial data has been extensively ...

Most of the real world systems are complex and their dynamics is studied by modeling them by many subunits interacting with one another. Such systems with interactions are well studied in the last few decades and are found ...

The size and complexity of power transmission networks make them good candidates for study using the framework of the complex networks. The topological properties of any network in uence the dynamics and stability of ...

The project applies techniques of statistics and nonlinear dynamics on financial data to study underlying dynamics in financial markets. We have used framework suggested by George Soros to interpret our results. We have ...

Our attempts to understand the dynamics of natural systems often rely on the observations or average responses of the system. The science of extracting information from this time series of observations forms the area of ...