Jason Laws

2.3k total citations
41 papers, 626 citations indexed

About

Jason Laws is a scholar working on Economics and Econometrics, Finance and Management Science and Operations Research. According to data from OpenAlex, Jason Laws has authored 41 papers receiving a total of 626 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Economics and Econometrics, 23 papers in Finance and 22 papers in Management Science and Operations Research. Recurrent topics in Jason Laws's work include Stock Market Forecasting Methods (20 papers), Market Dynamics and Volatility (16 papers) and Financial Markets and Investment Strategies (12 papers). Jason Laws is often cited by papers focused on Stock Market Forecasting Methods (20 papers), Market Dynamics and Volatility (16 papers) and Financial Markets and Investment Strategies (12 papers). Jason Laws collaborates with scholars based in United Kingdom, United States and Australia. Jason Laws's co-authors include Christian L. Dunis, Georgios Sermpinis, Gianluigi Giorgioni, Ben J. Evans, John L. Thompson, Andreas Karathanasopoulos, Charalampos Stasinakis, Susan L. Parish, Anna Scheyett and Athanasios A. Pantelous and has published in prestigious journals such as European Journal of Operational Research, Expert Systems with Applications and Decision Support Systems.

In The Last Decade

Jason Laws

41 papers receiving 561 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jason Laws United Kingdom 16 333 329 262 108 97 41 626
Lee Price United Kingdom 5 280 0.8× 202 0.6× 410 1.6× 17 0.2× 125 1.3× 10 591
Helena Veiga Spain 13 404 1.2× 108 0.3× 214 0.8× 22 0.2× 45 0.5× 36 546
Leonard C. MacLean Canada 12 304 0.9× 173 0.5× 328 1.3× 22 0.2× 39 0.4× 43 564
Xue Dong He Hong Kong 13 408 1.2× 363 1.1× 422 1.6× 17 0.2× 63 0.6× 48 698
Paul A. Weller United States 15 570 1.7× 338 1.0× 637 2.4× 58 0.5× 133 1.4× 28 873
Sebastiano Manzan United States 14 363 1.1× 121 0.4× 223 0.9× 84 0.8× 27 0.3× 36 548
Christian Ewerhart Switzerland 14 292 0.9× 196 0.6× 129 0.5× 16 0.1× 20 0.2× 81 521
Yao Hua Ooi United States 6 903 2.7× 310 0.9× 1.1k 4.2× 13 0.1× 206 2.1× 10 1.2k
Alois Geyer Austria 12 167 0.5× 141 0.4× 405 1.5× 20 0.2× 74 0.8× 29 630

Countries citing papers authored by Jason Laws

Since Specialization
Citations

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

Fields of papers citing papers by Jason Laws

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jason Laws

This figure shows the co-authorship network connecting the top 25 collaborators of Jason Laws. A scholar is included among the top collaborators of Jason Laws 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 Jason Laws. Jason Laws 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.
Huang, Wei, Hong Zhang, Abhinav Goyal, & Jason Laws. (2019). Internal capital market mergers in weak external market environment: An emerging market evidence. International Journal of Finance & Economics. 24(4). 1486–1505. 3 indexed citations
2.
Laws, Jason. (2018). The Time Value of Money, the Dividend Discount Model and Dividend Policy. 51–70. 1 indexed citations
3.
Laws, Jason. (2018). Essentials of Financial Management. Liverpool University Press eBooks. 16 indexed citations
4.
Goyal, Abhinav, Vasileios Kallinterakis, Dimos Kambouroudis, & Jason Laws. (2018). Cross-border exchanges and volatility forecasting. Quantitative Finance. 18(5). 789–799. 1 indexed citations
5.
Laws, Jason, et al.. (2018). Pairs Trading, Technical Analysis and Data Snooping: Mean Reversion vs Momentum. SSRN Electronic Journal. 2 indexed citations
6.
Laws, Jason, et al.. (2016). PROFITABILITY OF A SIMPLE PAIRS TRADING STRATEGY: RECENT EVIDENCES FROM A GLOBAL CONTEXT. International Journal of Theoretical and Applied Finance. 19(4). 1650023–1650023. 2 indexed citations
7.
Giorgioni, Gianluigi, et al.. (2014). Derivative products and innovation in Islamic finance. International Journal of Islamic and Middle Eastern Finance and Management. 7(3). 242–257. 11 indexed citations
8.
Dunis, Christian L., et al.. (2013). NONLINEAR FORECASTING OF THE GOLD MINER SPREAD: AN APPLICATION OF CORRELATION FILTERS. Intelligent systems in accounting, finance and management. 20(4). 207–231. 9 indexed citations
9.
Sermpinis, Georgios, Jason Laws, & Christian L. Dunis. (2013). Modelling commodity value at risk with Psi Sigma neural networks using open–high–low–close data. European Journal of Finance. 21(4). 316–336. 8 indexed citations
10.
Dunis, Christian L., Jason Laws, & Andreas Karathanasopoulos. (2012). GP algorithm versus hybrid and mixed neural networks. European Journal of Finance. 19(3). 180–205. 13 indexed citations
11.
Dunis, Christian L., et al.. (2011). Cointegration-based optimisation of currency portfolios. 17(2). 86–114. 1 indexed citations
12.
Dunis, Christian L., et al.. (2011). Mean Reversion Based on Autocorrelation: A Comparison Using the S&P 100 Constituent Stocks and the 100 Most Liquid ETFs. SSRN Electronic Journal. 1 indexed citations
13.
Dunis, Christian L., et al.. (2011). Profitable mean reversion after large price drops: A story of day and night in the S&P 500, 400 MidCap and 600 SmallCap Indices. Journal of Asset Management. 12(3). 185–202. 8 indexed citations
14.
Dunis, Christian L., Jason Laws, & Georgios Sermpinis. (2010). Modelling commodity value at risk with higher order neural networks. Applied Financial Economics. 20(7). 585–600. 12 indexed citations
15.
Dunis, Christian L., et al.. (2010). Profitable Mean Reversion after Large Price Drops: A Story of Day and Night in the S&P 500, 400 Mid Cap and 600 Small Cap Indices. 4 indexed citations
16.
Dunis, Christian L., et al.. (2010). Statistical Arbitrage and High-Frequency Data with an Application to Eurostoxx 50 Equities. SSRN Electronic Journal. 42 indexed citations
17.
Dunis, Christian L., Jason Laws, & Georgios Sermpinis. (2009). Modelling and trading the EUR/USD exchange rate at the ECB fixing. European Journal of Finance. 16(6). 541–560. 27 indexed citations
18.
Dunis, Christian L., Jason Laws, & Ben J. Evans. (2008). Trading futures spread portfolios: applications of higher order and recurrent networks. European Journal of Finance. 14(6). 503–521. 16 indexed citations
19.
Dunis, Christian L., Jason Laws, & Ben J. Evans. (2006). Trading futures spreads: an application of correlation and threshold filters. Applied Financial Economics. 16(12). 903–914. 26 indexed citations
20.
Dunis, Christian L., Jason Laws, & Ben J. Evans. (2006). Modelling and trading the gasoline crack spread: A non-linear story. 12(1). 126–145. 23 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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