Deepa Bannigidadmath

764 total citations
20 papers, 633 citations indexed

About

Deepa Bannigidadmath is a scholar working on Finance, Economics and Econometrics and General Economics, Econometrics and Finance. According to data from OpenAlex, Deepa Bannigidadmath has authored 20 papers receiving a total of 633 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Finance, 13 papers in Economics and Econometrics and 6 papers in General Economics, Econometrics and Finance. Recurrent topics in Deepa Bannigidadmath's work include Market Dynamics and Volatility (13 papers), Financial Markets and Investment Strategies (11 papers) and Monetary Policy and Economic Impact (6 papers). Deepa Bannigidadmath is often cited by papers focused on Market Dynamics and Volatility (13 papers), Financial Markets and Investment Strategies (11 papers) and Monetary Policy and Economic Impact (6 papers). Deepa Bannigidadmath collaborates with scholars based in Australia, Malaysia and Indonesia. Deepa Bannigidadmath's co-authors include Paresh Kumar Narayan, Dinh Hoang Bach Phan, Seema Narayan, Qiang Gong, Susan Sunila Sharma, Edmund Goh, Saiyidi Mat Roni, Robert Powell and Kannan Thuraisamy and has published in prestigious journals such as Journal of Banking & Finance, Energy Economics and Journal of International Money and Finance.

In The Last Decade

Deepa Bannigidadmath

20 papers receiving 608 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Deepa Bannigidadmath Australia 11 505 296 181 150 114 20 633
Frankie Chau United Kingdom 12 455 0.9× 366 1.2× 129 0.7× 153 1.0× 60 0.5× 16 594
Safwan Mohd Nor Malaysia 13 367 0.7× 192 0.6× 92 0.5× 89 0.6× 47 0.4× 32 477
Kamel Naoui Tunisia 11 410 0.8× 257 0.9× 83 0.5× 95 0.6× 54 0.5× 45 503
Neluka Devpura Sri Lanka 9 704 1.4× 199 0.7× 175 1.0× 92 0.6× 44 0.4× 16 768
Mardy Chiah Australia 12 382 0.8× 288 1.0× 40 0.2× 153 1.0× 79 0.7× 29 534
Janne Äijö Finland 14 587 1.2× 540 1.8× 237 1.3× 99 0.7× 45 0.4× 30 724
Saadet Kasman Türkiye 13 475 0.9× 457 1.5× 234 1.3× 240 1.6× 50 0.4× 32 696
Athanasios Fassas Greece 13 460 0.9× 348 1.2× 120 0.7× 55 0.4× 33 0.3× 46 556
Puja Padhi India 13 473 0.9× 409 1.4× 189 1.0× 111 0.7× 72 0.6× 49 607
Dionisis Philippas France 13 371 0.7× 323 1.1× 103 0.6× 59 0.4× 66 0.6× 35 511

Countries citing papers authored by Deepa Bannigidadmath

Since Specialization
Citations

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

Fields of papers citing papers by Deepa Bannigidadmath

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deepa Bannigidadmath

This figure shows the co-authorship network connecting the top 25 collaborators of Deepa Bannigidadmath. A scholar is included among the top collaborators of Deepa Bannigidadmath 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 Deepa Bannigidadmath. Deepa Bannigidadmath 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.
Powell, Robert, et al.. (2024). Tail risk network analysis of Asian banks. Global Finance Journal. 62. 101017–101017. 3 indexed citations
2.
Bannigidadmath, Deepa, et al.. (2023). Global Uncertainty and Economic Growth – Evidence from Pandemic Periods. Emerging Markets Finance and Trade. 60(2). 345–357. 3 indexed citations
3.
Bannigidadmath, Deepa & Paresh Kumar Narayan. (2022). Economic importance of correlations for energy and other commodities. Energy Economics. 107. 105854–105854. 7 indexed citations
4.
Bannigidadmath, Deepa, et al.. (2022). Economic policy uncertainty and industry return predictability – Evidence from the UK. International Review of Economics & Finance. 82. 433–447. 3 indexed citations
5.
Bannigidadmath, Deepa, Paresh Kumar Narayan, Dinh Hoang Bach Phan, & Qiang Gong. (2021). How stock markets reacted to COVID-19? Evidence from 25 countries. Finance research letters. 45. 102161–102161. 50 indexed citations
6.
Narayan, Paresh Kumar, Deepa Bannigidadmath, & Seema Narayan. (2021). How much does economic news influence bilateral exchange rates?. Journal of International Money and Finance. 115. 102410–102410. 16 indexed citations
7.
Powell, Robert, et al.. (2021). Systemically important banks in Asian emerging markets: Evidence from four systemic risk measures. Pacific-Basin Finance Journal. 70. 101670–101670. 10 indexed citations
8.
Bannigidadmath, Deepa & Paresh Kumar Narayan. (2021). Economic news and the cross-section of commodity futures returns. Journal of Behavioral and Experimental Finance. 31. 100540–100540. 8 indexed citations
9.
Goh, Edmund, Saiyidi Mat Roni, & Deepa Bannigidadmath. (2021). Thomas Cook(ed): using Altman's z-score analysis to examine predictors of financial bankruptcy in tourism and hospitality businesses. Asia Pacific Journal of Marketing and Logistics. 34(3). 475–487. 16 indexed citations
10.
Bannigidadmath, Deepa, et al.. (2021). Do Asymmetries in the Indian Equity Market Exist during the COVID-19?. Emerging Markets Finance and Trade. 57(10). 2838–2851. 3 indexed citations
11.
Bannigidadmath, Deepa. (2020). CONSUMER SENTIMENT AND INDONESIA'S STOCK RETURNS. Bulletin of Monetary Economics and Banking. 23. 1–12. 7 indexed citations
12.
Narayan, Paresh Kumar & Deepa Bannigidadmath. (2020). Financial news and CDS spreads. Journal of Behavioral and Experimental Finance. 29. 100448–100448. 9 indexed citations
13.
Bannigidadmath, Deepa & Paresh Kumar Narayan. (2020). Commodity futures returns and policy uncertainty. International Review of Economics & Finance. 72. 364–383. 23 indexed citations
14.
Narayan, Paresh Kumar, Dinh Hoang Bach Phan, & Deepa Bannigidadmath. (2017). Is the profitability of Indian stocks compensation for risks?. Emerging Markets Review. 31. 47–64. 12 indexed citations
15.
Narayan, Paresh Kumar, et al.. (2017). New Evidence of Psychological Barrier from the Oil Market. Journal of Behavioral Finance. 18(4). 457–469. 25 indexed citations
16.
Narayan, Paresh Kumar, Dinh Hoang Bach Phan, Seema Narayan, & Deepa Bannigidadmath. (2017). Is there a financial news risk premium in Islamic stocks?. Pacific-Basin Finance Journal. 42. 158–170. 36 indexed citations
17.
Bannigidadmath, Deepa & Paresh Kumar Narayan. (2015). Stock return predictability and determinants of predictability and profits. Emerging Markets Review. 26. 153–173. 147 indexed citations
18.
Narayan, Paresh Kumar & Deepa Bannigidadmath. (2015). Does Financial News Predict Stock Returns? New Evidence from Islamic and Non-Islamic Stocks. Pacific-Basin Finance Journal. 42. 24–45. 108 indexed citations
19.
Narayan, Paresh Kumar & Deepa Bannigidadmath. (2015). Are Indian stock returns predictable?. Journal of Banking & Finance. 58. 506–531. 126 indexed citations
20.
Narayan, Paresh Kumar, Susan Sunila Sharma, & Deepa Bannigidadmath. (2013). Does tourism predict macroeconomic performance in Pacific Island countries?. Economic Modelling. 33. 780–786. 21 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Frankie Chau Breakdown of academic impact, for papers by Safwan Mohd Nor Breakdown of academic impact, for papers by Kamel Naoui Breakdown of academic impact, for papers by Neluka Devpura Breakdown of academic impact, for papers by Mardy Chiah Breakdown of academic impact, for papers by Janne Äijö Breakdown of academic impact, for papers by Saadet Kasman Breakdown of academic impact, for papers by Athanasios Fassas Breakdown of academic impact, for papers by Puja Padhi Breakdown of academic impact, for papers by Dionisis Philippas
Rankless by CCL
2026