Carlo Acerbi
Impact in
- Finance top 0.5%
- Financial Risk and Volatility Modeling
- Stochastic processes and financial applications
- Financial Markets and Investment Strategies
- Credit Risk and Financial Regulations
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- Risk and Portfolio Optimization
Papers in
- Finance 6
- Financial Risk and Volatility Modeling 5
- Stochastic processes and financial applications 2
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- Risk and Portfolio Optimization 5
- Forecasting Techniques and Applications 2
- Journals
- Journal of Banking & Finance (2 papers)Quantitative Finance (1 paper)Economic Notes (1 paper)SSRN Electronic Journal (1 paper)
- Partner nations
- GermanySwitzerland
In The Last Decade
Carlo Acerbi
6 papers receiving 1.8k citations
Carlo Acerbi's Hit Papers
Peers
Comparison fields: 5 of 81
- Finance 1.2k
- Management Science and Operations Research 1.4k
- General Decision Sciences 70
- Economics and Econometrics 878
- Statistics and Probability 262
Countries citing papers authored by Carlo Acerbi
This map shows the geographic impact of Carlo Acerbi'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 Carlo Acerbi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carlo Acerbi more than expected).
Fields of papers citing papers by Carlo Acerbi
This network shows the impact of papers produced by Carlo Acerbi. 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 Carlo Acerbi. The network helps show where Carlo Acerbi may publish in the future.
Co-authors
The 2 scholars most cited alongside Carlo Acerbi, 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 | On the coherence of expected shortfall Hit paper breakdown → | 2002 | 1011 |
| 2 | Spectral measures of risk: A coherent representation of subjective risk aversion Hit paper breakdown → | 2002 | 606 |
| 3 | 2002 | 325 | |
| 4 | 2017 | 35 | |
| 5 | 2007 | 28 | |
| 6 | BACKTESTING EXPECTED SHORTFALL Introducing three model-independent, non-parametric back-test methodologies for Expected Shortfall | 2014 | 8 |
| 7 | 2023 | 0 |
About Carlo Acerbi
Carlo Acerbi is a scholar working on Finance, Management Science and Operations Research, Economics and Econometrics, Statistics and Probability and Ocean Engineering, having authored 7 papers that have together received 2.0k indexed citations. Recurring topics across this work include Risk and Portfolio Optimization (5 papers), Financial Risk and Volatility Modeling (5 papers), Stochastic processes and financial applications (2 papers), Insurance and Financial Risk Management (2 papers), Forecasting Techniques and Applications (2 papers), Agricultural risk and resilience (1 paper), Reservoir Engineering and Simulation Methods (1 paper) and Statistical Methods and Inference (1 paper). The work is most often cited by research in Finance (1.2k citations), Management Science and Operations Research (1.4k citations), General Decision Sciences (70 citations), Economics and Econometrics (878 citations) and Statistics and Probability (262 citations). Carlo Acerbi has collaborated with scholars based in Germany and Switzerland. Frequent co-authors include Dirk Tasche and Balázs Székely. Their work appears in journals such as Journal of Banking & Finance, Quantitative Finance, Economic Notes and SSRN Electronic Journal.
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.