Dan Gabriel Anghel : Citation Profile


Are you Dan Gabriel Anghel?

Academia Romana (55% share)
Academia de Studii Economice din Bucureşti (45% share)

3

H index

1

i10 index

37

Citations

RESEARCH PRODUCTION:

14

Articles

RESEARCH ACTIVITY:

   9 years (2013 - 2022). See details.
   Cites by year: 4
   Journals where Dan Gabriel Anghel has often published
   Relations with other researchers
   Recent citing documents: 9.    Total self citations: 4 (9.76 %)

MORE DETAILS IN:
ABOUT THIS REPORT:

   Permalink: http://citec.repec.org/pan626
   Updated: 2024-11-04    RAS profile: 2022-09-07    
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Relations with other researchers


Works with:

Authors registered in RePEc who have co-authored more than one work in the last five years with Dan Gabriel Anghel.

Is cited by:

Goutte, Stéphane (2)

Škrinjarić, Tihana (2)

Zhou, Wei-Xing (2)

Dragotă, Victor (2)

Nagayev, Ruslan (1)

Huru, Dragos (1)

Iuga, Iulia (1)

HAMDI, Helmi (1)

Bărbuţă-Mişu, Nicoleta (1)

HAKIMI, ABDELAZIZ (1)

Tiwari, Aviral (1)

Cites to:

Dragotă, Victor (8)

Putnins, Talis (7)

Fama, Eugene (6)

Swanson, Norman (5)

Scaillet, Olivier (5)

HSU, Po-Hsuan (5)

McInish, Thomas (5)

Hansen, Peter (5)

Todea, Alexandru (4)

Sensoy, Ahmet (4)

Coakley, Jerry (4)

Main data


Where Dan Gabriel Anghel has published?


Journals with more than one article published# docs
Finance Research Letters2
The Review of Finance and Banking2
Journal for Economic Forecasting2
International Journal of Financial Research2

Recent works citing Dan Gabriel Anghel (2024 and 2023)


YearTitle of citing document
2023Be greedy when others are fearful: Evidence from a two-decade assessment of the NDX 100 and S&P 500 indexes. (2023). Ni, Yensen ; Day, Min-Yuh. In: International Review of Financial Analysis. RePEc:eee:finana:v:90:y:2023:i:c:s1057521923003721.

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2024The asymmetric volatility spillover across Shanghai, Hong Kong and the U.S. stock markets: A regime weighted measure and its forecast inference. (2024). Sen, Ding ; Uddin, Gazi Salah ; Sheng, Lin Wen ; Hao, Zhu Shi. In: International Review of Financial Analysis. RePEc:eee:finana:v:91:y:2024:i:c:s1057521923004805.

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2023Deep learning and technical analysis in cryptocurrency market. (2023). Goutte, Stéphane ; von Mettenheim, Hans-Jorg ; Liu, Fei ; Le, Hoang-Viet. In: Finance Research Letters. RePEc:eee:finlet:v:54:y:2023:i:c:s1544612323001824.

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2024Trade fragmentation and volatility-of-volatility networks. (2024). Jawadi, Fredj ; Bastidon, Cecile. In: Journal of International Financial Markets, Institutions and Money. RePEc:eee:intfin:v:91:y:2024:i:c:s1042443123001762.

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2023The effect of the disposal of non-performing loans on interbank liquidity risk in China: A cash flow network-based analysis. (2023). Shouyang, Wang ; Yahan, Wang ; Fangcheng, Tang ; Kun, Guo ; Jiajia, Liu. In: The Quarterly Review of Economics and Finance. RePEc:eee:quaeco:v:89:y:2023:i:c:p:105-119.

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2023DEEP LEARNING AND TECHNICAL ANALYSIS IN CRYPTOCURRENCY MARKET. (2023). Goutte, Stéphane ; Mettenheim, Von Hans-Jorg ; Liu, Fei ; Le, Viet Hoang. In: Working Papers. RePEc:hal:wpaper:halshs-03917333.

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2024The complex relationship between credit and liquidity risks: a linear and non-linear analysis for the banking sector. (2024). Zaghdoudi, Taha ; Hakimi, Abdelaziz ; Bouslimi, Jihen ; Tissaoui, Kais. In: Palgrave Communications. RePEc:pal:palcom:v:11:y:2024:i:1:d:10.1057_s41599-024-02951-4.

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Works by Dan Gabriel Anghel:


YearTitleTypeCited
2013THE PERFORMANCE OF ROC ON THE BSE In: Theoretical and Applied Economics.
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article0
2020Predicting Intraday Prices in the Frontier Stock Market of Romania Using Machine Learning Algorithms In: International Journal of Economics and Financial Research.
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article1
2021Asymmetries and flight-to-safety effects in the price discovery process of cross-listed stocks In: Economic Modelling.
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article2
2022No pain, no gain: You should always incorporate trading costs for a bias-free evaluation of trading rule overperformance In: Economics Letters.
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article0
2018Liquidity-threshold effect in non-performing loans In: Finance Research Letters.
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article14
2021A reality check on trading rule performance in the cryptocurrency market: Machine learning vs. technical analysis In: Finance Research Letters.
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article8
2021Data Snooping Bias in Tests of the Relative Performance of Multiple Forecasting Models In: Journal of Banking & Finance.
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article0
2020What Can Machine Learning Tell Us About Intraday Price Patterns in a Frontier Stock Market? In: International Journal of Financial Research.
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article0
2015Market Efficiency and Technical Analysis in Romania In: International Journal of Financial Research.
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article6
2021Stock Prices Still Move Too Much For Dividends But Less So: A Reappraisal of Shiller 1981 In: Critical Finance Review.
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article0
2013How Reliable is the Moving Average Crossover Rule for an Investor on the Romanian Stock Market? In: The Review of Finance and Banking.
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article2
2018Market-Level Sports Sentiment: The case of the Romanian Frontier Stock Market In: The Review of Finance and Banking.
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article0
2017Intraday Market Efficiency for a Typical Central and Eastern European Stock Market: The Case of Romania In: Journal for Economic Forecasting.
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article2
2020Intraday Patterns in Returns on the Romanian and Bulgarian Stock Markets In: Journal for Economic Forecasting.
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article2

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