Walid Chkili

1.3k total citations
19 papers, 976 citations indexed

About

Walid Chkili is a scholar working on Economics and Econometrics, Finance and General Economics, Econometrics and Finance. According to data from OpenAlex, Walid Chkili has authored 19 papers receiving a total of 976 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Economics and Econometrics, 13 papers in Finance and 7 papers in General Economics, Econometrics and Finance. Recurrent topics in Walid Chkili's work include Market Dynamics and Volatility (18 papers), Financial Risk and Volatility Modeling (12 papers) and Monetary Policy and Economic Impact (5 papers). Walid Chkili is often cited by papers focused on Market Dynamics and Volatility (18 papers), Financial Risk and Volatility Modeling (12 papers) and Monetary Policy and Economic Impact (5 papers). Walid Chkili collaborates with scholars based in Tunisia, France and Saudi Arabia. Walid Chkili's co-authors include Duc Khuong Nguyen, Chaker Aloui, Shawkat Hammoudeh, Omar Masood, John Fry, Aymen Ben Rejeb and Khaled Guesmi and has published in prestigious journals such as Energy Economics, Resources Policy and Research in International Business and Finance.

In The Last Decade

Walid Chkili

19 papers receiving 921 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Walid Chkili Tunisia 12 902 497 398 102 91 19 976
Adrián Fernández-Pérez New Zealand 14 593 0.7× 335 0.7× 184 0.5× 64 0.6× 66 0.7× 65 685
Theo Berger Germany 13 739 0.8× 302 0.6× 277 0.7× 34 0.3× 111 1.2× 27 825
Valerio Potì Ireland 12 636 0.7× 407 0.8× 183 0.5× 88 0.9× 61 0.7× 64 780
Bumjean Sohn South Korea 6 797 0.9× 588 1.2× 325 0.8× 47 0.5× 109 1.2× 8 932
Q. Farooq Akram Norway 12 927 1.0× 550 1.1× 703 1.8× 58 0.6× 234 2.6× 29 1.2k
Saumya Ranjan Dash India 14 539 0.6× 290 0.6× 104 0.3× 114 1.1× 111 1.2× 38 658
Ata Assaf Lebanon 17 610 0.7× 297 0.6× 115 0.3× 44 0.4× 60 0.7× 43 685
Celso Brunetti United States 16 788 0.9× 598 1.2× 357 0.9× 55 0.5× 99 1.1× 52 970
Neluka Devpura Sri Lanka 9 704 0.8× 199 0.4× 175 0.4× 92 0.9× 67 0.7× 16 768
Adel Boubaker Tunisia 10 662 0.7× 335 0.7× 238 0.6× 141 1.4× 101 1.1× 43 795

Countries citing papers authored by Walid Chkili

Since Specialization
Citations

This map shows the geographic impact of Walid Chkili'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 Walid Chkili with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Walid Chkili more than expected).

Fields of papers citing papers by Walid Chkili

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Walid Chkili. 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 Walid Chkili. The network helps show where Walid Chkili may publish in the future.

Co-authorship network of co-authors of Walid Chkili

This figure shows the co-authorship network connecting the top 25 collaborators of Walid Chkili. A scholar is included among the top collaborators of Walid Chkili 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 Walid Chkili. Walid Chkili is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Chkili, Walid. (2024). The risk transmission from the COVID-19 to MENA stock markets: what is the best safe haven asset during the pandemic?. EuroMed Journal of Business. 21(1). 283–317. 2 indexed citations
2.
Chkili, Walid, et al.. (2023). Dynamic correlation and hedging strategy between Bitcoin prices and stock market during the Russo-Ukrainian war. Eurasian economic review :. 13(2). 307–319. 8 indexed citations
3.
Chkili, Walid. (2022). The links between gold, oil prices and Islamic stock markets in a regime switching environment. Eurasian economic review :. 12(1). 169–186. 11 indexed citations
4.
Chkili, Walid, et al.. (2022). Asymmetric and dynamic links in GCC Sukuk-stocks: Implications for portfolio management before and during the COVID-19 pandemic. The Journal of Economic Asymmetries. 25. e00244–e00244. 27 indexed citations
5.
Chkili, Walid, et al.. (2021). Does bitcoin provide hedge to Islamic stock markets for pre- and during COVID-19 outbreak? A comparative analysis with gold. Resources Policy. 74. 102407–102407. 54 indexed citations
6.
Chkili, Walid. (2021). Modeling Bitcoin price volatility: long memory vs Markov switching. Eurasian economic review :. 11(3). 433–448. 14 indexed citations
7.
Chkili, Walid, et al.. (2021). An artificial neural network augmented GARCH model for Islamic stock market volatility: Do asymmetry and long memory matter?. International Journal of Islamic and Middle Eastern Finance and Management. 14(5). 853–873. 11 indexed citations
8.
Chkili, Walid. (2017). Is gold a hedge or safe haven for Islamic stock market movements? A Markov switching approach. Journal of Multinational Financial Management. 42-43. 152–163. 36 indexed citations
9.
Chkili, Walid. (2016). Dynamic correlations and hedging effectiveness between gold and stock markets: Evidence for BRICS countries. Research in International Business and Finance. 38. 22–34. 145 indexed citations
10.
Chkili, Walid. (2015). Gold-oil prices co-movements and portfolio diversification implications. Economics bulletin. 35(4). 2832–2845. 5 indexed citations
11.
Chkili, Walid, Chaker Aloui, & Duc Khuong Nguyen. (2014). Instabilities in the relationships and hedging strategies between crude oil and US stock markets: Do long memory and asymmetry matter?. Journal of International Financial Markets Institutions and Money. 33. 354–366. 44 indexed citations
12.
Guesmi, Khaled, et al.. (2013). Jump Dynamics And Volatility Components For OECD Stock Returns. Journal of Applied Business Research (JABR). 29(3). 777–777. 2 indexed citations
13.
Chkili, Walid, Shawkat Hammoudeh, & Duc Khuong Nguyen. (2013). Volatility forecasting and risk management for commodity markets in the presence of asymmetry and long memory. Energy Economics. 41. 1–18. 166 indexed citations
14.
Chkili, Walid & Duc Khuong Nguyen. (2013). Exchange rate movements and stock market returns in a regime-switching environment: Evidence for BRICS countries. Research in International Business and Finance. 31. 46–56. 190 indexed citations
15.
Chkili, Walid. (2012). Is currency risk priced for emerging stock markets. Economics bulletin. 32(3). 2267–2280. 2 indexed citations
16.
Chkili, Walid. (2012). The dynamic relationship between exchange rates and stock returns in emerging countries: Volatility spillover and portfolio management. International Journal of Management Science and Engineering Management. 7(4). 253–262. 15 indexed citations
17.
Chkili, Walid, Chaker Aloui, & Duc Khuong Nguyen. (2012). Asymmetric effects and long memory in dynamic volatility relationships between stock returns and exchange rates. Journal of International Financial Markets Institutions and Money. 22(4). 738–757. 61 indexed citations
18.
Chkili, Walid & Duc Khuong Nguyen. (2011). Modeling the volatility of Mediterranean stock markets: a regime-switching approach. Economics bulletin. 31(2). 1105–1113. 6 indexed citations
19.
Chkili, Walid, Chaker Aloui, Omar Masood, & John Fry. (2011). Stock market volatility and exchange rates in emerging countries: A Markov-state switching approach. Emerging Markets Review. 12(3). 272–292. 177 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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