Eduard Baumöhl

1.4k total citations
41 papers, 1.0k citations indexed

About

Eduard Baumöhl is a scholar working on Economics and Econometrics, Finance and General Economics, Econometrics and Finance. According to data from OpenAlex, Eduard Baumöhl has authored 41 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Economics and Econometrics, 24 papers in Finance and 10 papers in General Economics, Econometrics and Finance. Recurrent topics in Eduard Baumöhl's work include Market Dynamics and Volatility (25 papers), Financial Risk and Volatility Modeling (17 papers) and Complex Systems and Time Series Analysis (15 papers). Eduard Baumöhl is often cited by papers focused on Market Dynamics and Volatility (25 papers), Financial Risk and Volatility Modeling (17 papers) and Complex Systems and Time Series Analysis (15 papers). Eduard Baumöhl collaborates with scholars based in Slovakia, Czechia and Germany. Eduard Baumöhl's co-authors include Štefan Lyócsa, Tomáš Výrost, Evžen Kočenda, Péter Molnár, Syed Jawad Hussain Shahzad, Ichiro Iwasaki, Rabeh Khalfaoui, Suleman Sarwar, Roman Horváth and Elie Bouri and has published in prestigious journals such as Physica A Statistical Mechanics and its Applications, Journal of Corporate Finance and Resources Policy.

In The Last Decade

Eduard Baumöhl

36 papers receiving 968 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Eduard Baumöhl Slovakia 16 860 430 138 133 98 41 1.0k
Štefan Lyócsa Slovakia 20 1.0k 1.2× 584 1.4× 110 0.8× 173 1.3× 80 0.8× 78 1.3k
Samet Günay Kuwait 16 842 1.0× 346 0.8× 203 1.5× 147 1.1× 73 0.7× 63 1.0k
Tomáš Výrost Slovakia 12 604 0.7× 331 0.8× 37 0.3× 85 0.6× 41 0.4× 35 717
Serafín Martínez-Jaramillo Mexico 14 821 1.0× 835 1.9× 32 0.2× 83 0.6× 117 1.2× 30 1.1k
Ginanjar Dewandaru Malaysia 17 811 0.9× 540 1.3× 73 0.5× 135 1.0× 505 5.2× 30 1.2k
Sun‐Yong Choi South Korea 16 1.0k 1.2× 491 1.1× 100 0.7× 178 1.3× 99 1.0× 65 1.3k
Javier Perote Spain 21 644 0.7× 495 1.2× 94 0.7× 173 1.3× 166 1.7× 81 1.1k
Keven Bluteau Canada 10 741 0.9× 471 1.1× 136 1.0× 132 1.0× 49 0.5× 25 928
Edoardo Gaffeo Italy 17 915 1.1× 288 0.7× 23 0.2× 380 2.9× 70 0.7× 50 1.1k
Spyros I. Spyrou Greece 20 890 1.0× 893 2.1× 70 0.5× 260 2.0× 344 3.5× 53 1.3k

Countries citing papers authored by Eduard Baumöhl

Since Specialization
Citations

This map shows the geographic impact of Eduard Baumöhl's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Eduard Baumöhl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eduard Baumöhl more than expected).

Fields of papers citing papers by Eduard Baumöhl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eduard Baumöhl. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Eduard Baumöhl. The network helps show where Eduard Baumöhl may publish in the future.

Co-authorship network of co-authors of Eduard Baumöhl

This figure shows the co-authorship network connecting the top 25 collaborators of Eduard Baumöhl. A scholar is included among the top collaborators of Eduard Baumöhl based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Eduard Baumöhl. Eduard Baumöhl is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Baumöhl, Eduard, Štefan Lyócsa, & Petra Vašaničová. (2024). Macroeconomic environment and the future performance of loans: Evidence from three peer-to-peer platforms. International Review of Financial Analysis. 95. 103416–103416. 1 indexed citations
2.
Lyócsa, Štefan, Eduard Baumöhl, & Tomáš Výrost. (2021). YOLO trading: Riding with the herd during the GameStop episode. Finance research letters. 46. 102359–102359. 46 indexed citations
3.
Baumöhl, Eduard, et al.. (2020). From physical to financial contagion: the COVID-19 pandemic and increasing systemic risk among banks. Econstor (Econstor). 8 indexed citations
4.
Baumöhl, Eduard & Tomáš Výrost. (2020). Stablecoins as a crypto safe haven? Not all of them!. Econstor (Econstor). 10 indexed citations
5.
Lyócsa, Štefan, Eduard Baumöhl, Tomáš Výrost, & Péter Molnár. (2020). Fear of the coronavirus and the stock markets. Finance research letters. 36. 101735–101735. 175 indexed citations
6.
Baumöhl, Eduard, et al.. (2020). Increasing systemic risk during the Covid-19 pandemic: A cross-quantilogram analysis of the banking sector. Econstor (Econstor). 3 indexed citations
7.
Baumöhl, Eduard & Syed Jawad Hussain Shahzad. (2019). Quantile coherency networks of international stock markets. Finance research letters. 31. 119–129. 60 indexed citations
8.
Baumöhl, Eduard, et al.. (2017). Funding Structure of the European and North American Clusters: Results from an Independent Questionnaire. Ekonomický časopis. 65(6). 485–504. 1 indexed citations
9.
Baumöhl, Eduard, Evžen Kočenda, Štefan Lyócsa, & Tomáš Výrost. (2017). Networks of volatility spillovers among stock markets. Physica A Statistical Mechanics and its Applications. 490. 1555–1574. 70 indexed citations
10.
Baumöhl, Eduard, Evžen Kočenda, Štefan Lyócsa, & Tomáš Výrost. (2017). Networks of Volatility Spillovers Among Stock Markets. SSRN Electronic Journal. 2 indexed citations
11.
Výrost, Tomáš, Štefan Lyócsa, & Eduard Baumöhl. (2015). Granger causality stock market networks: Temporal proximity and preferential attachment. Physica A Statistical Mechanics and its Applications. 427. 262–276. 85 indexed citations
12.
Lyócsa, Štefan & Eduard Baumöhl. (2015). Similarity of emerging market returns under changing market conditions: Markets in the ASEAN-4, Latin America, Middle East, and BRICs. Economic Systems. 39(2). 253–268. 7 indexed citations
13.
Baumöhl, Eduard & Štefan Lyócsa. (2014). Risk-Return Convergence in CEE Stock Markets: Structural Breaks and Market Volatility. Czech Journal of Economics and Finance. 64(5). 352–373. 1 indexed citations
14.
Baumöhl, Eduard & Štefan Lyócsa. (2014). How smooth is the stock market integration of CEE-3?. Deep Blue (University of Michigan). 1 indexed citations
15.
Lyócsa, Štefan, et al.. (2012). The Real Convergence of CEE Countries: A Study of Real GDP per capita. Econstor (Econstor). 60(6). 642–656.
16.
Lyócsa, Štefan, Eduard Baumöhl, & Tomáš Výrost. (2012). Stock returns and real activity: the dynamic conditional lagged correlation approach. MPRA Paper.
17.
Baumöhl, Eduard, Tomáš Výrost, & Štefan Lyócsa. (2011). Are we able to capture the EU debt crisis? Evidence from PIIGGS countries in panel unit root framework. MPRA Paper.
18.
Baumöhl, Eduard, Štefan Lyócsa, & Tomáš Výrost. (2011). Shift contagion with endogenously detected volatility breaks: the case of CEE stock markets. Applied Economics Letters. 18(12). 1103–1109. 11 indexed citations
19.
Baumöhl, Eduard, Štefan Lyócsa, & Tomáš Výrost. (2011). Volatility Regimes in Macroeconomic Time Series: The Case of the Visegrad Group. Czech Journal of Economics and Finance. 61(6). 530–544. 3 indexed citations
20.
Baumöhl, Eduard & Tomáš Výrost. (2010). Stock Market Integration: Granger Causality Testing with Respect to Nonsynchronous Trading Effects. Czech Journal of Economics and Finance. 60(5). 414–425. 28 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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