Titlebook: Individual Financial Planning for Retirement; Empirical Insights f Nicole Brunhart Book 2008 Physica-Verlag Heidelberg 2008 Behavioral Fina

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mitigation based on the Resilience (ASTER 2022); Advances in Web Based Learning (AWBL 2022); Blockchain and Distributed Ledgers: Technologies and Applications (BDLTA 2022); Bio and Neuro inspired Computing and Applications (BIONCA 2022); Configurational Analysis For Cities (CA Cities 2022); Computa

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ufacturing and transmission line applications. In this pipeline, the Bayesian optimization solution is used to suggest the best combination of hyperparameters for model variables. We analyze four multi-output models, such as Adaptive Boosting, Gradient Boosting, Random Forest and MultiLayer Perceptr

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Empirical analyses of individual retirement-specific FPB,of this study. Sub-chapter 6.4 then introduces a simulation to determine the existence of a retirement gap and the resultant required saving rate for the individual investor types. Furthermore, it discusses different scenarios as to when the financial assets of an individual are ebbing out or which

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Conclusion,ns reflect in particular the new retirement reality with a reduced pension contribution stemming from the state, a shift of responsibility to the individual and a related general insecurity with regard to individual financial situations in retirement.

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logies and Applications (BDLTA 2022); Bio and Neuro inspired Computing and Applications (BIONCA 2022); Configurational Analysis For Cities (CA Cities 2022); Com978-3-031-10591-3978-3-031-10592-0Series ISSN 0302-9743 Series E-ISSN 1611-3349

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1431-1933 ining ways in which policy-makers, financial planners, and individuals themselves can improve financial provisioning for retirement. .978-3-7908-2541-1978-3-7908-1998-4Series ISSN 1431-1933 Series E-ISSN 2197-7178