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Robomanagement \(^\mathrm{{TM}}\): Virtualizing the Asset Management Team Through Software Objects

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Mathematical and Statistical Methods for Actuarial Sciences and Finance
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Abstract

In this paper, we describe a Fintech application we have developed in the field of Asset and Portfolio Management. It regards the virtualization of an entire Asset Management Team, including the Asset Manager, the Risk Manager, the Analysts, the Broker, the Compliance and the Auditor. To show in practice the setup process, how our framework works and the achieved results, we use a real case study regarding the active management of an Investment Certificate. We underline the advantages of a virtual investment committee compared to a human one, including costs reduction, full customizability, scalability, human bias elimination, fast response to regime changes and operative risk control.

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Notes

  1. 1.

    The exponential moving average is a well-known technical analysis indicator that provides a suitably weighted average of the prices of a given asset.

  2. 2.

    The expected performance from each financial asset is \(\textit{AnalystPosition} \cdot r\), where r is the historical average return of the financial asset itself.

  3. 3.

    BPS stands for “basis points”.

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Correspondence to Marco Corazza .

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Donati, R., Corazza, M. (2021). Robomanagement \(^\mathrm{{TM}}\): Virtualizing the Asset Management Team Through Software Objects. In: Corazza, M., Gilli, M., Perna, C., Pizzi, C., Sibillo, M. (eds) Mathematical and Statistical Methods for Actuarial Sciences and Finance. Springer, Cham. https://doi.org/10.1007/978-3-030-78965-7_30

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