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Market and model risks: a feasible joint estimate methodology

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Abstract

The increasing complexity of stochastic models used to describe the behavior of asset returns along with the practical difficulty of defining suitable hedging strategies are relevant factors that compromise the soundness and quality of risk measurement models. In this paper we define the risk model as the mispricing a consequence of using an inadequate model to describe asset behavior and we develop a least-squares Monte Carlo methodology to estimate market and model risk simultaneously. The results show that at different confidence levels and time horizons the proposed methodology to estimate the market and model risks has a greater joint explanatory power than the isolated estimate of market risk.

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Notes

  1. We may also use other risk measures such as Conditional-VaR or Shortfall

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Authors and Affiliations

  1. Department of Business and Accounting, UNED (Universidad Nacional de Educación a Distancia), Paseo Senda del Rey, 11, 28040, Madrid, Spain

    Mariano González-Sánchez, Eva M. Ibáñez Jiménez & Ana I. Segovia San Juan

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  1. Mariano González-Sánchez
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  2. Eva M. Ibáñez Jiménez
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  3. Ana I. Segovia San Juan
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Correspondence to Mariano González-Sánchez.

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González-Sánchez, M., Jiménez, E.M.I. & Segovia San Juan, A.I. Market and model risks: a feasible joint estimate methodology. Risk Manag 24, 187–213 (2022). https://doi.org/10.1057/s41283-022-00090-1

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