Robotic process automation for investment modelling

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F19%3A39914993" target="_blank" >RIV/00216275:25410/19:39914993 - isvavai.cz</a>

Výsledek na webu

<a href="https://is.muni.cz/do/econ/sborniky/2019/Proceedings_final.pdf" target="_blank" >https://is.muni.cz/do/econ/sborniky/2019/Proceedings_final.pdf</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Robotic process automation for investment modelling

Popis výsledku v původním jazyce

The developments in data science, machine learning and artificial intelligence force us to revisit the question “What should be automated and what should be done by humans?” The main objective of our contribution is to apply Robotic Process Automation (RPA) to create a model which identifies risk situations on the model based on the market prices and external data such as M2 Money Stock, Consumer Confidence Index (CCI), Daily Treasury Yield Curve etc., and recommend a proportion of assets in the portfolio. Our goal is to build a model that will beat its benchmark, the S&amp;P 500 index, for that purpose we create a portfolio composed of individual stock titles contained in the S&amp;P 500 index and compare the model rate of return with the real rate of the S&amp;P 500 for the period from 1.1. 2004 to 1.1. 2019. As a result we can show that the cumulative yield of the model beats its benchmark approx. 7 times during the period under review.

Název v anglickém jazyce

Robotic process automation for investment modelling

Popis výsledku anglicky

The developments in data science, machine learning and artificial intelligence force us to revisit the question “What should be automated and what should be done by humans?” The main objective of our contribution is to apply Robotic Process Automation (RPA) to create a model which identifies risk situations on the model based on the market prices and external data such as M2 Money Stock, Consumer Confidence Index (CCI), Daily Treasury Yield Curve etc., and recommend a proportion of assets in the portfolio. Our goal is to build a model that will beat its benchmark, the S&amp;P 500 index, for that purpose we create a portfolio composed of individual stock titles contained in the S&amp;P 500 index and compare the model rate of return with the real rate of the S&amp;P 500 for the period from 1.1. 2004 to 1.1. 2019. As a result we can show that the cumulative yield of the model beats its benchmark approx. 7 times during the period under review.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2019

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

European Financial Systems 2019 : Proceedings of the 16th International Scientific Conference

ISBN

978-80-210-9337-9

ISSN

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e-ISSN

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Počet stran výsledku

7

Strana od-do

126-132

Název nakladatele

Masarykova univerzita

Místo vydání

Brno

Místo konání akce

Brno

Datum konání akce

24. 6. 2019

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000503222600014