Gurdip Bakshi
- Finance top 0.05%
- Economics and Econometrics top 0.1%
- General Economics, Econometrics and Finance top 0.5%
- Accounting top 1%
- Demography top 0.5%
- Co-authors
- Zhiwu ChenDilip B. MadanCharles CaoNikunj KapadiaGeorge PanayotovLiuren WuGeorgios SkoulakisXiaohui Gao
- Topics
- Financial Markets and Investment Strategies (65 papers)Stochastic processes and financial applications (59 papers)Financial Risk and Volatility Modeling (31 papers)
- Partner nations
- United StatesHong KongUnited Kingdom
In The Last Decade
Gurdip Bakshi
101 papers receiving 8.4k citations
Hit Papers
Peers
Comparison fields: 5 of 90
- Finance 8.2k
- Economics and Econometrics 4.1k
- General Economics, Econometrics and Finance 1.4k
- Accounting 791
- Demography 754
Countries citing papers authored by Gurdip Bakshi
This map shows the geographic impact of Gurdip Bakshi'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 Gurdip Bakshi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gurdip Bakshi more than expected).
Fields of papers citing papers by Gurdip Bakshi
This network shows the impact of papers produced by Gurdip Bakshi. 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 Gurdip Bakshi. The network helps show where Gurdip Bakshi may publish in the future.
Co-authorship network of co-authors of Gurdip Bakshi
This figure shows the co-authorship network connecting the top 25 collaborators of Gurdip Bakshi. A scholar is included among the top collaborators of Gurdip Bakshi 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 Gurdip Bakshi. Gurdip Bakshi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 8 | |
| 4 | 0 | |
| 5 | Why Do Options Prices Predict Stock Returns? Evidence from Analyst Tipping* | 1 |
| 6 | 2 | |
| 7 | 37 | |
| 8 | 69 | |
| 9 | 33 | |
| 10 | 22 | |
| 11 | Volatility Risk Premiums Embedded in Individual Equity Options: Some New Insights | 13 |
| 12 | 2 | |
| 13 | 38 | |
| 14 | 2 | |
| 15 | Do Call Prices and the Underlying Stock Always Move in the Same Direction | 27 |
| 16 | Inflation, Asset Prices and the Term Structure of Interest Rates in Monetary Economies | 17 |
| 17 | Pricing and Hedging Long-Term Options | 41 |
| 18 | 65 | |
| 19 | The Spirit of Capitalism and Stock-Market Prices | 223 |
| 20 | 135 |
About Gurdip Bakshi
Gurdip Bakshi is a scholar working on Finance, General Economics, Econometrics and Finance and Economics and Econometrics, having authored 105 papers that have together received 9.0k indexed citations. Recurring topics across this work include Financial Markets and Investment Strategies (65 papers), Stochastic processes and financial applications (59 papers) and Financial Risk and Volatility Modeling (31 papers). The work is most often cited by research in Finance (8.2k citations), General Economics, Econometrics and Finance (1.4k citations) and Economics and Econometrics (4.1k citations). Gurdip Bakshi has collaborated with scholars based in United States, Hong Kong and United Kingdom. Frequent co-authors include Zhiwu Chen, Dilip B. Madan, Charles Cao, Nikunj Kapadia, George Panayotov, Liuren Wu, Georgios Skoulakis, Xiaohui Gao, Peter Carr and Frank Xiaoling Zhang. Their work appears in journals such as The Journal of Finance, Journal of Financial Economics and American Economic Review.
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.