Balint Zsolt Nagy

About Balint Zsolt Nagy

Balint Zsolt Nagy, With an exceptional h-index of 7 and a recent h-index of 6 (since 2020), a distinguished researcher at Universitatea Babes-Bolyai, specializes in the field of financial economics, behavioural finance, econophysics.

His recent articles reflect a diverse array of research interests and contributions to the field:

No place like home: Home bias and flight-to-quality in Group of Seven countries

Measuring The Myopic Loss Aversion Premium: An Experimental Approach

On the Cost-efficiency of Automobile Insurance Fraud Detection Methods: A Meta-analysis

Traditional versus AI-Based Fraud Detection: Cost Efficiency in the Field of Automobile Insurance

Asymmetries in Factors Influencing Non-Fungible Tokens (NFTs) in Times of Market Boom and Bust

The impact of COVID-19 on the evolution of online retail: The pandemic as a window of opportunity

Automobile insurance fraud detection in the age of big data–a systematic and comprehensive literature review

A six-factor extension of the Fama-French asset pricing model–the case of the Polish stock market

Balint Zsolt Nagy Information

University

Position

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Citations(all)

171

Citations(since 2020)

128

Cited By

55

hIndex(all)

7

hIndex(since 2020)

6

i10Index(all)

5

i10Index(since 2020)

4

Email

University Profile Page

Google Scholar

Balint Zsolt Nagy Skills & Research Interests

financial economics

behavioural finance

econophysics

Top articles of Balint Zsolt Nagy

No place like home: Home bias and flight-to-quality in Group of Seven countries

Economic Modelling

2023/12/1

Measuring The Myopic Loss Aversion Premium: An Experimental Approach

Applied Economics Letters

2023/10/7

Balint Zsolt Nagy
Balint Zsolt Nagy

H-Index: 2

On the Cost-efficiency of Automobile Insurance Fraud Detection Methods: A Meta-analysis

Global Business Review

2023

Traditional versus AI-Based Fraud Detection: Cost Efficiency in the Field of Automobile Insurance

Financial and Economic Review

2023

Asymmetries in Factors Influencing Non-Fungible Tokens (NFTs) in Times of Market Boom and Bust

Available at SSRN 4359882

2023

Botond Benedek
Botond Benedek

H-Index: 2

Balint Zsolt Nagy
Balint Zsolt Nagy

H-Index: 2

The impact of COVID-19 on the evolution of online retail: The pandemic as a window of opportunity

Journal of Retailing and Consumer Services

2022/11/1

Automobile insurance fraud detection in the age of big data–a systematic and comprehensive literature review

2022/8/2

A six-factor extension of the Fama-French asset pricing model–the case of the Polish stock market

Argumenta Oeconomica

2022/1/1

Digital touchpoints and multichannel segmentation approach in the life insurance industry

International journal of retail & distribution management

2021/5/17

Higher co-moments and adjusted Sharpe ratios for cryptocurrencies

Finance Research Letters

2021/3/1

Balint Zsolt Nagy
Balint Zsolt Nagy

H-Index: 2

Botond Benedek
Botond Benedek

H-Index: 2

Co-skewness, co-kurtosis and their implications on asset pricing of cryptocurrencies

International Journal of Financial Markets and Derivatives

2021

How do loss aversion and technology acceptance affect life insurance demand?

Applied Economics Letters

2020/7/11

See List of Professors in Balint Zsolt Nagy University(Universitatea Babes-Bolyai)

Co-Authors

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