Elie Bouri
Impact in
- General Energy top 0.01%
- Economics and Econometrics top 0.01%
- Market Dynamics and Volatility
- Energy, Environment, Economic Growth
- Complex Systems and Time Series Analysis
Papers in
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- Market Dynamics and Volatility 281
- Energy, Environment, Economic Growth 100
- Complex Systems and Time Series Analysis 77
- Finance 128
- Financial Risk and Volatility Modeling 59
- Financial Markets and Investment Strategies 56
- Co-authors
- David Roubaud (54 shared papers)Rangan Gupta (57 shared papers)Syed Jawad Hussain Shahzad (44 shared papers)Tareq Saeed (21 shared papers)Anupam Dutta (24 shared papers)Qiang Ji (11 shared papers)Ladislav Krištoufek (12 shared papers)Georges Azzi (6 shared papers)
In The Last Decade
Elie Bouri
339 papers receiving 20.1k citations
Elie Bouri's Hit Papers
Peers
Comparison fields: 5 of 130
- General Energy 996
- Economics and Econometrics 18.4k
- Finance 5.9k
- Information Systems 7.1k
- General Economics, Econometrics and Finance 2.3k
Countries citing papers authored by Elie Bouri
This map shows the geographic impact of Elie Bouri'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 Elie Bouri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elie Bouri more than expected).
Fields of papers citing papers by Elie Bouri
This network shows the impact of papers produced by Elie Bouri. 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 Elie Bouri. The network helps show where Elie Bouri may publish in the future.
Co-authors
The 25 scholars most cited alongside Elie Bouri, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 346 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | On the hedge and safe haven properties of Bitcoin: Is it really more than a diversifier? Hit paper breakdown → | 2016 | 1089 |
| 2 | Does Bitcoin hedge global uncertainty? Evidence from wavelet-based quantile-in-quantile regressions Hit paper breakdown → | 2017 | 657 |
| 3 | Can volume predict Bitcoin returns and volatility? A quantiles-based approach Hit paper breakdown → | 2017 | 571 |
| 4 | Return connectedness across asset classes around the COVID-19 outbreak Hit paper breakdown → | 2020 | 500 |
| 5 | Dynamic connectedness and integration in cryptocurrency markets Hit paper breakdown → | 2018 | 480 |
| 6 | Bitcoin, gold, and commodities as safe havens for stocks: New insight through wavelet analysis Hit paper breakdown → | 2020 | 413 |
| 7 | Safe haven, hedge and diversification for G7 stock markets: Gold versus bitcoin Hit paper breakdown → | 2019 | 406 |
| 8 | Herding behaviour in cryptocurrencies Hit paper breakdown → | 2018 | 388 |
| 9 | Extreme return connectedness and its determinants between clean/green and dirty energy investments Hit paper breakdown → | 2020 | 364 |
| 10 | The directional volatility connectedness between crude oil and equity markets: New evidence from implied volatility indexes Hit paper breakdown → | 2016 | 361 |
| 11 | Co-explosivity in the cryptocurrency market Hit paper breakdown → | 2018 | 289 |
| 12 | 2017 | 282 | |
| 13 | Climate policy uncertainty and the price dynamics of green and brown energy stocks Hit paper breakdown → | 2022 | 274 |
| 14 | Does global economic uncertainty matter for the volatility and hedging effectiveness of Bitcoin? Hit paper breakdown → | 2018 | 261 |
| 15 | Quantile connectedness in the cryptocurrency market Hit paper breakdown → | 2021 | 255 |
| 16 | Spillovers between Bitcoin and other assets during bear and bull markets Hit paper breakdown → | 2018 | 250 |
| 17 | Risk spillover between energy and agricultural commodity markets: A dependence-switching CoVaR-copula model Hit paper breakdown → | 2018 | 250 |
| 18 | Geopolitical risk and the systemic risk in the commodity markets under the war in Ukraine Hit paper breakdown → | 2022 | 244 |
| 19 | Information interdependence among energy, cryptocurrency and major commodity markets Hit paper breakdown → | 2019 | 234 |
| 20 | 2020 | 227 |
About Elie Bouri
Elie Bouri is a scholar working on Economics and Econometrics, Finance, Information Systems, General Economics, Econometrics and Finance and Renewable Energy, Sustainability and the Environment, having authored 346 papers that have together received 20.6k indexed citations. Recurring topics across this work include Market Dynamics and Volatility (281 papers), Energy, Environment, Economic Growth (100 papers), Blockchain Technology Applications and Security (87 papers), Complex Systems and Time Series Analysis (77 papers), Monetary Policy and Economic Impact (60 papers), Financial Risk and Volatility Modeling (59 papers), Financial Markets and Investment Strategies (56 papers) and Energy, Environment, and Transportation Policies (42 papers). The work is most often cited by research in General Energy (996 citations), Economics and Econometrics (18.4k citations), Finance (5.9k citations), Information Systems (7.1k citations) and General Economics, Econometrics and Finance (2.3k citations). Elie Bouri has collaborated with scholars based in Lebanon, France and China. Frequent co-authors include David Roubaud, Rangan Gupta, Syed Jawad Hussain Shahzad, Tareq Saeed, Anupam Dutta, Qiang Ji, Ladislav Krištoufek, Georges Azzi, Péter Molnár and Naji Jalkh. Their work appears in journals such as Finance research letters, Energy Economics, Resources Policy, International Review of Financial Analysis and Research in International Business and Finance.
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.