Centro de Documentación de Fundación MAPFRE - Cash flow risk management in the property/-liability insurance industry : a dynamic factor modeling approach

Notas: Sumario: This study proposes and demonstrates a dynamic factor model that can be empirically carried out by the utilization of a factoraugmented autoregressive technique to explain and forecast the time-varying patterns of cash flows of insurance companies in the United States. Aprincipal component approach is employed in the Factor-Augmented Autoregressive Model (FAARM) to capture the augmented factors that are to be utilized for forecasting. We describe the cash flow statistical model by a dimension-reduction technique that can depict the dynamic patterns of the cash flows of insurance firms and then measure the FAARM model. Results from the first step (principal component analysis) help capture the macroeconomic variables and the variables pertaining to insurance companies' cash flows, namely, cash flows from investment, underwriting, and risk management activities. Results from the second step offer evidence supporting that the FAARM improves the out-of-sample forecasting accuracy assessed by a forecasted root-mean-squared error (FRMSE). This article presents a set of feasible FAAR models from which an insurance firm can choose one that can be a better fit to the firm corresponding to its specific firm characteristics, such as firm size. Consequently, the chosen FAARM(s) can improve the accuracy of cash flow forecasting and thus can help insurers to manage risk via cash-flow-matching techniques.Registros relacionados: En: North American actuarial journal. - Schaumburg : Society of Actuaries, 1997- = ISSN 1092-0277. - 04/06/2018 Tomo 22 Número 2 - 2018 , p. 309-322Materia / lugar / evento: Cash-flow Mercado de seguros Seguro de responsabilidad civil Empresas de seguros Modelos estadísticos Gerencia de riesgos Otros autores: Wen, Min-Ming
Outras classificações: 6

Direitos: In Copyright (InC)

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