Pregled bibliografske jedinice broj: 1249160
Investor Classification Model Based on Behavioural Finance Studies
Investor Classification Model Based on Behavioural Finance Studies // Proceedings of the 44th International Convention MIPRO 2021, miproBIS: Business Intelligence Systems / Karolj, Skala (ur.).
Opatija: Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO, 2021. str. 1456-1461 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 1249160 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Investor Classification Model Based on
Behavioural Finance Studies
Autori
Vlahović, Nikola ; Brozović, Vedran ; Škavić, Fran
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the 44th International Convention MIPRO 2021, miproBIS: Business Intelligence Systems
/ Karolj, Skala - Opatija : Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO, 2021, 1456-1461
Skup
44th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO 2021) ; Business Intelligence Systems (miproBIS 2021)
Mjesto i datum
Opatija, Hrvatska, 27.09.2021. - 01.10.2021
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Decision trees ; Modelling ; Behavioural Finance ; Knowledge Representation ; Decision Support Systems ; Data mining
Sažetak
In recent years there have been numerous research studies in the field of Behavioural finance. The findings can be used to better understand the decision-making process in dynamic and volatile environment in relation to high risk. Traditional theories have always based the decision processes in rationality even though practical research and evidence testifies otherwise. Since then, the field of Behavioural finance studies has matured and enabled the description of relevant circumstances and characteristics of decision making in financial investment that better explains both successful and unsuccessful risk management. The goal of this paper is to create a decision-making model for classification of investor propensity to risk based on recent behavioural finance studies. For the purpose of modelling this body of knowledge, a decision tree model will be used. The model itself will represent the knowledge on evaluating the behaviour of investors based both on current literature and practical experience. The resulting model can be used for evaluation of investor behaviour in both practical applications and further scientific research, as it will be demonstrated.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo, Ekonomija, Informacijske i komunikacijske znanosti
