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Real Data Empirical Applications

In: Counting Statistics for Dependent Random Events

Author

Listed:
  • Enrico Bernardi

    (University of Bologna, Department of Statistical Sciences “Paolo Fortunati”)

  • Silvia Romagnoli

    (University of Bologna, Department of Statistical Sciences “Paolo Fortunati”)

Abstract

The goal of this chapter is to display a number of empirical applications of some of the new aggregation techniques discussed in the book. We give details of several examples, from risk management to portfolio selection, where market data are used to properly calibrate the dependence structure and to identify the more suitable approach to the problem at hand.

Suggested Citation

  • Enrico Bernardi & Silvia Romagnoli, 2021. "Real Data Empirical Applications," Springer Books, in: Counting Statistics for Dependent Random Events, chapter 0, pages 165-193, Springer.
  • Handle: RePEc:spr:sprchp:978-3-030-64250-1_6
    DOI: 10.1007/978-3-030-64250-1_6
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