Ming‐Yuan Leon Li

414 total citations
23 papers, 316 citations indexed

About

Ming‐Yuan Leon Li is a scholar working on Finance, Economics and Econometrics and General Economics, Econometrics and Finance. According to data from OpenAlex, Ming‐Yuan Leon Li has authored 23 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Finance, 13 papers in Economics and Econometrics and 8 papers in General Economics, Econometrics and Finance. Recurrent topics in Ming‐Yuan Leon Li's work include Financial Markets and Investment Strategies (14 papers), Market Dynamics and Volatility (13 papers) and Monetary Policy and Economic Impact (8 papers). Ming‐Yuan Leon Li is often cited by papers focused on Financial Markets and Investment Strategies (14 papers), Market Dynamics and Volatility (13 papers) and Monetary Policy and Economic Impact (8 papers). Ming‐Yuan Leon Li collaborates with scholars based in Taiwan, China and United States. Ming‐Yuan Leon Li's co-authors include Bong Soo Lee, Hsiou‐Wei William Lin, Nen-Chen Richard Hwang, Kun‐Huang Huarng, Chen-Yuan Chen, Tsung‐Hao Chen, Jeng‐Ren Chiou, Cheng Li, Lin Lin and Her‐Jiun Sheu and has published in prestigious journals such as Journal of Banking & Finance, Finance research letters and Service Industries Journal.

In The Last Decade

Ming‐Yuan Leon Li

22 papers receiving 294 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ming‐Yuan Leon Li Taiwan 10 199 189 101 72 39 23 316
Alain Coën Canada 12 198 1.0× 213 1.1× 76 0.8× 53 0.7× 29 0.7× 48 321
Winston Wei Dou United States 11 174 0.9× 204 1.1× 143 1.4× 62 0.9× 32 0.8× 45 329
Lalith P. Samarakoon United States 10 225 1.1× 245 1.3× 141 1.4× 66 0.9× 57 1.5× 28 364
Aslihan Altay‐Salih Türkiye 12 249 1.3× 317 1.7× 122 1.2× 94 1.3× 15 0.4× 27 418
Prabina Rajib India 11 157 0.8× 156 0.8× 137 1.4× 52 0.7× 75 1.9× 31 304
Thomas Henker Australia 11 261 1.3× 356 1.9× 164 1.6× 60 0.8× 43 1.1× 36 442
Dave Berger United States 7 246 1.2× 276 1.5× 84 0.8× 86 1.2× 23 0.6× 12 366
Malek Lashgari United States 7 267 1.3× 231 1.2× 70 0.7× 131 1.8× 45 1.2× 13 368
Danny Yeung Australia 8 144 0.7× 176 0.9× 106 1.0× 37 0.5× 26 0.7× 21 289
Christopher Bilson Australia 5 192 1.0× 185 1.0× 88 0.9× 117 1.6× 36 0.9× 8 311

Countries citing papers authored by Ming‐Yuan Leon Li

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐Yuan Leon Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming‐Yuan Leon Li. 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 Ming‐Yuan Leon Li. The network helps show where Ming‐Yuan Leon Li may publish in the future.

Co-authorship network of co-authors of Ming‐Yuan Leon Li

This figure shows the co-authorship network connecting the top 25 collaborators of Ming‐Yuan Leon Li. A scholar is included among the top collaborators of Ming‐Yuan Leon Li 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 Ming‐Yuan Leon Li. Ming‐Yuan Leon Li 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.
Lee, Bong Soo & Ming‐Yuan Leon Li. (2012). Diversification and risk-adjusted performance: A quantile regression approach. Journal of Banking & Finance. 36(7). 2157–2173. 84 indexed citations
2.
Li, Ming‐Yuan Leon, et al.. (2011). MODEL CONSTRUCTION OF OPTION PRICING BASED ON FUZZY THEORY. Journal of marine science and technology. 19(5). 18 indexed citations
3.
Li, Ming‐Yuan Leon & Nen-Chen Richard Hwang. (2011). Effects of Firm Size, Financial Leverage and R&D Expenditures on Firm Earnings: An Analysis Using Quantile Regression Approach. Abacus. 47(2). 182–204. 21 indexed citations
4.
Chen, Chun‐Nan, et al.. (2010). Are large banks less risky?. Service Industries Journal. 31(13). 2111–2116. 3 indexed citations
5.
Li, Ming‐Yuan Leon. (2010). Re-examining the risk–return relationship in banks using quantile regression. Service Industries Journal. 30(11). 1871–1881. 14 indexed citations
6.
Chiou, Jeng‐Ren, et al.. (2010). Pricing and Allocation Mechanisms in Underpricing of Chinese IPOs. Chinese Economy. 43(1). 93–108. 11 indexed citations
7.
Li, Ming‐Yuan Leon & Chun‐Nan Chen. (2010). Examining the interrelation dynamics between option and stock markets using the Markov-switching vector error correction model. Journal of Applied Statistics. 37(7). 1173–1191. 1 indexed citations
8.
Li, Ming‐Yuan Leon, et al.. (2010). Do large firms overly use stock-based incentive compensation?. Journal of Applied Statistics. 38(8). 1591–1606. 2 indexed citations
9.
Li, Ming‐Yuan Leon. (2009). CHANGE IN VOLATILITY REGIMES AND DIVERSIFICATION IN EMERGING STOCK MARKETS. South African Journal of Economics. 77(1). 59–80. 8 indexed citations
10.
Li, Ming‐Yuan Leon. (2008). Nonlinear interrelations between ADRs and their underlying stocks revisited: application of threshold VECM. Applied Economics Letters. 16(18). 1867–1873. 1 indexed citations
11.
Li, Ming‐Yuan Leon. (2008). Multiple asymmetries in index stock returns from boom/bust and stable/volatile markets states- an empirical study of US and UK stock markets. Applied Economics Letters. 16(2). 183–191. 5 indexed citations
12.
Li, Ming‐Yuan Leon. (2008). Dynamic hedge ratio for stock index futures: application of threshold VECM. Applied Economics. 42(11). 1403–1417. 9 indexed citations
13.
Li, Ming‐Yuan Leon. (2008). The dynamics of the relationship between spot and futures markets under high and low variance regimes. Applied Stochastic Models in Business and Industry. 25(6). 696–718. 15 indexed citations
14.
Li, Ming‐Yuan Leon. (2008). Hybrid versus highbred: combined economic models with time-series analyses. Quantitative Finance. 8(6). 637–647. 8 indexed citations
15.
Li, Ming‐Yuan Leon. (2008). Clarifying the dynamics of the relationship between option and stock markets using the threshold vector error correction model. Mathematics and Computers in Simulation. 79(3). 511–520. 7 indexed citations
16.
Li, Ming‐Yuan Leon, et al.. (2008). Price transmission, foreign exchange rate risks and global diversification of ADRs. Applied Economics. 42(14). 1811–1823. 2 indexed citations
17.
Li, Ming‐Yuan Leon. (2007). Purchasing power parity under high and low volatility regimes. Applied Economics Letters. 14(8). 581–589. 10 indexed citations
18.
Li, Ming‐Yuan Leon. (2007). Volatility states and international diversification of international stock markets. Applied Economics. 39(14). 1867–1876. 25 indexed citations
19.
Li, Ming‐Yuan Leon, et al.. (2005). The performance of the Markov-switching model on business cycle identification revisited. Applied Economics Letters. 12(8). 513–520. 7 indexed citations
20.
Li, Ming‐Yuan Leon & Hsiou‐Wei William Lin. (2004). Estimating value-at-risk via Markov switching ARCH models – an empirical study on stock index returns. Applied Economics Letters. 11(11). 679–691. 42 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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