Thomas C. Chiang

5.4k total citations · 3 hit papers
107 papers, 3.8k citations indexed

About

Thomas C. Chiang is a scholar working on Finance, Economics and Econometrics and General Economics, Econometrics and Finance. According to data from OpenAlex, Thomas C. Chiang has authored 107 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 93 papers in Finance, 85 papers in Economics and Econometrics and 44 papers in General Economics, Econometrics and Finance. Recurrent topics in Thomas C. Chiang's work include Market Dynamics and Volatility (72 papers), Financial Markets and Investment Strategies (61 papers) and Financial Risk and Volatility Modeling (59 papers). Thomas C. Chiang is often cited by papers focused on Market Dynamics and Volatility (72 papers), Financial Markets and Investment Strategies (61 papers) and Financial Risk and Volatility Modeling (59 papers). Thomas C. Chiang collaborates with scholars based in United States, Taiwan and China. Thomas C. Chiang's co-authors include Dazhi Zheng, Bang Nam Jeon, Huimin Li, Lin Tan, Edward Nelling, Joseph R. Mason, Jiandong Li, Shuh-Chyi Doong, Wing‐Keung Wong and Zhuo Qiao and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Finance and Energy Policy.

In The Last Decade

Thomas C. Chiang

100 papers receiving 3.6k citations

Hit Papers

Dynamic correlation analysis of financial contagion: Evid... 2007 2026 2013 2019 2007 2010 2007 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas C. Chiang United States 28 3.1k 2.8k 958 634 342 107 3.8k
Yangru Wu United States 26 2.3k 0.8× 1.9k 0.7× 1.2k 1.3× 519 0.8× 364 1.1× 86 3.1k
Clara Vega United States 23 2.8k 0.9× 3.2k 1.1× 1.8k 1.9× 844 1.3× 395 1.2× 65 4.2k
Yiuman Tse United States 32 3.0k 1.0× 2.9k 1.0× 1.3k 1.4× 612 1.0× 375 1.1× 144 3.8k
Massimo Guidolin Italy 26 2.1k 0.7× 2.4k 0.8× 956 1.0× 485 0.8× 390 1.1× 165 3.3k
Dimitris Kenourgios Greece 24 2.0k 0.7× 1.6k 0.6× 702 0.7× 368 0.6× 107 0.3× 95 2.5k
Claude B. Erb United States 16 1.9k 0.6× 2.1k 0.7× 1.0k 1.0× 588 0.9× 156 0.5× 35 2.8k
Simón Sosvilla‐Rivero Spain 28 2.2k 0.7× 1.2k 0.4× 1.3k 1.4× 187 0.3× 404 1.2× 252 3.0k
William D. Lastrapes United States 25 3.5k 1.1× 3.3k 1.2× 2.0k 2.1× 285 0.4× 225 0.7× 59 4.4k
Taufiq Choudhry United Kingdom 28 1.8k 0.6× 1.3k 0.5× 1.0k 1.1× 366 0.6× 144 0.4× 98 2.3k
Christos Floros Greece 27 2.3k 0.7× 1.5k 0.5× 674 0.7× 914 1.4× 289 0.8× 132 3.1k

Countries citing papers authored by Thomas C. Chiang

Since Specialization
Citations

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

Fields of papers citing papers by Thomas C. Chiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas C. Chiang. 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 Thomas C. Chiang. The network helps show where Thomas C. Chiang may publish in the future.

Co-authorship network of co-authors of Thomas C. Chiang

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas C. Chiang. A scholar is included among the top collaborators of Thomas C. Chiang 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 Thomas C. Chiang. Thomas C. Chiang 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
2.
Chiang, Thomas C.. (2025). The effect of climate policy uncertainty and induced risks on US aggregate and sectoral stock returns. Research in International Business and Finance. 76. 102797–102797. 4 indexed citations
3.
Chiang, Thomas C. & Peiying Chen. (2023). Inflation risk and stock returns: Evidence from US aggregate and sectoral markets. The North American Journal of Economics and Finance. 68. 101986–101986. 2 indexed citations
4.
Chiang, Thomas C.. (2023). Stock returns and inflation expectations: Evidence from 20 major countries. SHILAP Revista de lepidopterología. 7(4). 538–568. 1 indexed citations
5.
Chu, Amanda M. Y., et al.. (2021). The maximum-return-and-minimum-volatility effect: evidence from choosing risky and riskless assets to form a portfolio. Risk Management. 23(1-2). 97–122. 8 indexed citations
6.
Chiang, Thomas C.. (2020). Economic policy uncertainty and stock returns—evidence from the Japanese market. SHILAP Revista de lepidopterología. 4(3). 430–458. 29 indexed citations
7.
Chiang, Thomas C., et al.. (2017). Comovements of Stock Markets between Turkey and Global Countries. Czech Journal of Economics and Finance. 67(3). 250–275. 2 indexed citations
8.
Chiang, Thomas C., Cathy W. S. Chen, & Mike K. P. So. (2015). Asymmetric Return and Volatility Responses to Composite News from Stock Markets. SSRN Electronic Journal.
9.
Chiang, Thomas C. & Dazhi Zheng. (2015). Liquidity and Stock Returns: Evidence from International Markets. SSRN Electronic Journal.
10.
Chiang, Thomas C., Jiandong Li, Lin Tan, & Edward Nelling. (2013). Dynamic Herding Behavior in Pacific-Basin Markets: Evidence and Implications. SSRN Electronic Journal. 19 indexed citations
11.
Chiang, Thomas C., Lin Tan, Jiandong Li, & Edward Nelling. (2013). Dynamic Herding Behavior in Pacific-Basin Markets: Evidence and Implications. Multinational Finance Journal. 17(3/4). 165–200. 98 indexed citations
12.
Hammoudeh, Shawkat, Yuan Yuan, Thomas C. Chiang, & Mohan Nandha. (2010). Symmetric and asymmetric US sector return volatilities in presence of oil, financial and economic risks. Energy Policy. 38(8). 3922–3932. 28 indexed citations
13.
Chiang, Thomas C., et al.. (2009). Statistical Properties, Dynamic Conditional Correlation, Scaling Analysis of High-Frequency Intraday Stock Returns: Evidence from Dow-Jones and Nasdaq Indices. SSRN Electronic Journal. 1 indexed citations
14.
Chiang, Thomas C., et al.. (2008). Dynamic Correlation Analysis of Financial Contagion: Evidence from Asian Countries. SSRN Electronic Journal. 54 indexed citations
15.
Chiang, Thomas C., et al.. (2008). Statistical properties, dynamic conditional correlation and scaling analysis: Evidence from Dow Jones and Nasdaq high-frequency data. Physica A Statistical Mechanics and its Applications. 388(8). 1555–1570. 9 indexed citations
16.
Chiang, Thomas C., Cathy W. S. Chen, & Mike K. P. So. (2007). Asymmetric Return and Volatility Responses to Composite News from Stock Markets. Multinational Finance Journal. 11(3/4). 179–210. 9 indexed citations
17.
Chiang, Thomas C., Bang Nam Jeon, & Huimin Li. (2007). Dynamic correlation analysis of financial contagion: Evidence from Asian markets. Journal of International Money and Finance. 26(7). 1206–1228. 642 indexed citations breakdown →
18.
Chiang, Thomas C. & Shuh-Chyi Doong. (2001). Empirical Analysis of Stock Returns and Volatility: Evidence from Seven Asian Stock Markets Based on TAR-GARCH Model. Review of Quantitative Finance and Accounting. 17(3). 301–318. 97 indexed citations
19.
Chiang, Thomas C., et al.. (2000). Stock Return and Exchange Rate Risk: Evidence from Asian Stock Markets Based on A Bivariate GARCH Model. International Journal of Business. 5(2). 97. 30 indexed citations
20.
Chiang, Thomas C., et al.. (1993). An empirical analysis of the expert expectations hypothesis in the US Treasury bill market. Applied Financial Economics. 3(4). 329–334. 2 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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