Daniel Capocci
Impact in
- Finance top 2%
- Financial Markets and Investment Strategies
- Financial Risk and Volatility Modeling
- Banking stability, regulation, efficiency
- Accounting top 10%
- Corporate Finance and Governance
Papers in
- Finance 12
- Financial Markets and Investment Strategies 12
- Financial Risk and Volatility Modeling 5
- Stochastic processes and financial applications 1
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- Complex Systems and Time Series Analysis 6
- Market Dynamics and Volatility 6
- Economic theories and models 1
- Journals
- Journal of Empirical Finance (1 paper)European Journal of Finance (1 paper)International Journal of Finance & Economics (1 paper)Global Finance Journal (1 paper)Research Publications (Maastricht University) (1 paper)
- Partner nations
- BelgiumFranceLuxembourg
In The Last Decade
Daniel Capocci
12 papers receiving 325 citations
Peers
Comparison fields: 5 of 22
- Finance 335
- Accounting 106
- Economics and Econometrics 218
- General Economics, Econometrics and Finance 43
- Management Science and Operations Research 41
Countries citing papers authored by Daniel Capocci
This map shows the geographic impact of Daniel Capocci'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 Daniel Capocci with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Capocci more than expected).
Fields of papers citing papers by Daniel Capocci
This network shows the impact of papers produced by Daniel Capocci. 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 Daniel Capocci. The network helps show where Daniel Capocci may publish in the future.
Co-authors
The 2 scholars most cited alongside Daniel Capocci, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 204 | |
| 2 | 2005 | 71 | |
| 3 | 2003 | 22 | |
| 4 | 2003 | 13 | |
| 5 | 2008 | 11 | |
| 6 | 2006 | 9 | |
| 7 | 2001 | 8 | |
| 8 | 2005 | 8 | |
| 9 | 2007 | 6 | |
| 10 | CTA Performance, Survivorship Bias and Dissolution Frequencies | 2003 | 5 |
| 11 | 2007 | 1 | |
| 12 | 2007 | 1 |
About Daniel Capocci
Daniel Capocci is a scholar working on Finance, Economics and Econometrics, Accounting, General Economics, Econometrics and Finance and Infectious Diseases, having authored 12 papers that have together received 359 indexed citations. Recurring topics across this work include Financial Markets and Investment Strategies (12 papers), Complex Systems and Time Series Analysis (6 papers), Market Dynamics and Volatility (6 papers), Financial Risk and Volatility Modeling (5 papers), Private Equity and Venture Capital (2 papers), Economic theories and models (1 paper), Stochastic processes and financial applications (1 paper) and Monetary Policy and Economic Impact (1 paper). The work is most often cited by research in Finance (335 citations), Accounting (106 citations), Economics and Econometrics (218 citations), General Economics, Econometrics and Finance (43 citations) and Management Science and Operations Research (41 citations). Daniel Capocci has collaborated with scholars based in Belgium, France and Luxembourg. Frequent co-authors include Georges Hübner and Albert Corhay. Their work appears in journals such as Journal of Empirical Finance, European Journal of Finance, International Journal of Finance & Economics, Global Finance Journal and Research Publications (Maastricht University).
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.