Simulation of Long-term Returns with Stochastic Correlations

Document Type : Original Article

Authors

1 Department of Mathematics, Statistics and Computer Science, University of Bergamo, Via dei Caniana, 24127 Bergamo, Italy (Corresponding author)

2 Department of Mathematics, Statistics and Computer Science, University of Bergamo, Via dei Caniana, 24127 Bergamo, Italy

Abstract

This paper focuses on a nonlinear stochastic model for financial simulation and forecasting based on assumptions of multivariate stochastic correlation, with an application to the European market. We present in particular the key elements of a structured hierarchical econometric model that can be used to forecast financial and commodity markets relying on statistical and simulation methods. The investment universe includes money-market, fixed-income, inflation-linked bonds as well as equity and commodity indices. For each such investment opportunity a dedicated statistical model has been developed to generate future return paths describing the uncertainty the investment manager is facing over time.

Keywords

References

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International Journal of Finance & Managerial Accounting
Volume 2, Issue 6
August 2017
Pages 1-9

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