In this paper, we analyze Drawdown-based risk measures for an equity portfolio with high-frequency data. The returns of individual stocks are modeled through multivariate weighted-indexed semi-Markov chains with a copula dependence structure. Through this recently published model, we show that the estimate of Drawdown-based risk measures is more faithful than that obtained with the application of classic econometric models.

Drawdown risk measures for asset portfolios with high frequency data

Masala G.;
2023-01-01

Abstract

In this paper, we analyze Drawdown-based risk measures for an equity portfolio with high-frequency data. The returns of individual stocks are modeled through multivariate weighted-indexed semi-Markov chains with a copula dependence structure. Through this recently published model, we show that the estimate of Drawdown-based risk measures is more faithful than that obtained with the application of classic econometric models.
2023
Asset portfolio
Drawdown risk measure
GARCH models
High-frequency data
Right censoring
Weighted-indexed semi-Markov models
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11584/352259
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