Maurice Peat

993 total citations · 1 hit paper
35 papers, 669 citations indexed

About

Maurice Peat is a scholar working on Economics and Econometrics, Finance and Accounting. According to data from OpenAlex, Maurice Peat has authored 35 papers receiving a total of 669 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Economics and Econometrics, 19 papers in Finance and 11 papers in Accounting. Recurrent topics in Maurice Peat's work include Market Dynamics and Volatility (14 papers), Financial Markets and Investment Strategies (11 papers) and Credit Risk and Financial Regulations (6 papers). Maurice Peat is often cited by papers focused on Market Dynamics and Volatility (14 papers), Financial Markets and Investment Strategies (11 papers) and Credit Risk and Financial Regulations (6 papers). Maurice Peat collaborates with scholars based in Australia, Ireland and Vietnam. Maurice Peat's co-authors include Brian M. Lucey, Samuel A. Vigne, Shaen Corbet, Graham Partington, Douglas J. Cumming, Jonathan A. Batten, Stewart Jones, Jiří Švec, Jue Wang and Andrew Urquhart and has published in prestigious journals such as PLoS ONE, Energy Economics and Journal of Economic Behavior & Organization.

In The Last Decade

Maurice Peat

32 papers receiving 629 citations

Hit Papers

Bitcoin Futures—What use are they? 2018 2026 2020 2023 2018 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Bitcoin Futures—What use are they?
    2018 206 citations Shaen Corbet, Brian M. Lucey et al. Economics Letters profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maurice Peat Australia 14 419 306 264 134 96 35 669
Dimitrios Koutmos United States 14 710 1.7× 439 1.4× 514 1.9× 70 0.5× 41 0.4× 37 907
Erdinç Akyıldırım Türkiye 16 699 1.7× 385 1.3× 429 1.6× 66 0.5× 48 0.5× 42 941
Emiliano Pagnotta Singapore 8 255 0.6× 263 0.9× 211 0.8× 104 0.8× 57 0.6× 13 482
Klaus Grobys Finland 14 562 1.3× 445 1.5× 397 1.5× 83 0.6× 21 0.2× 84 787
Maarten R.C. van Oordt Netherlands 12 299 0.7× 283 0.9× 141 0.5× 92 0.7× 69 0.7× 33 504
Emmanouil Platanakis United Kingdom 11 458 1.1× 380 1.2× 355 1.3× 96 0.7× 52 0.5× 33 747
Matthieu Bouvard France 10 205 0.5× 283 0.9× 148 0.6× 131 1.0× 61 0.6× 17 475
Thorsten V. Koeppl Canada 10 235 0.6× 177 0.6× 174 0.7× 70 0.5× 48 0.5× 31 450
Qingfu Liu China 16 472 1.1× 296 1.0× 55 0.2× 150 1.1× 187 1.9× 50 822
Linda Schilling United States 10 370 0.9× 226 0.7× 296 1.1× 33 0.2× 80 0.8× 24 568

Countries citing papers authored by Maurice Peat

Since Specialization
Citations

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

Fields of papers citing papers by Maurice Peat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maurice Peat

This figure shows the co-authorship network connecting the top 25 collaborators of Maurice Peat. A scholar is included among the top collaborators of Maurice Peat 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 Maurice Peat. Maurice Peat 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.
Lucey, Brian M., Maurice Peat, Aleksandar Šević, & Samuel A. Vigne. (2019). What is the optimal weight for gold in a portfolio?. Annals of Operations Research. 297(1-2). 277–291. 8 indexed citations
2.
Corbet, Shaen, Douglas J. Cumming, Brian M. Lucey, Maurice Peat, & Samuel A. Vigne. (2019). The destabilising effects of cryptocurrency cybercriminality. Economics Letters. 191. 108741–108741. 86 indexed citations
3.
Corbet, Shaen, Douglas J. Cumming, Brian M. Lucey, Maurice Peat, & Samuel A. Vigne. (2019). Investigating the Dynamics Between Price Volatility, Price Discovery, and Criminality in Cryptocurrency Markets. SSRN Electronic Journal. 13 indexed citations
4.
Lucey, Brian M., Maurice Peat, & Samuel A. Vigne. (2018). What Is the Optimal Weight for Gold in a Portfolio?. SSRN Electronic Journal. 2 indexed citations
5.
Gogolin, Fabian, et al.. (2018). Uncovering long term relationships between oil prices and the economy: A time-varying cointegration analysis. Energy Economics. 76. 584–593. 28 indexed citations
6.
Corbet, Shaen, Brian M. Lucey, Maurice Peat, & Samuel A. Vigne. (2018). Bitcoin Futures—What use are they?. Economics Letters. 172. 23–27. 206 indexed citations breakdown →
7.
Batten, Jonathan A., Brian M. Lucey, Frank McGroarty, Maurice Peat, & Andrew Urquhart. (2017). Stylized facts of intraday precious metals. PLoS ONE. 12(4). e0174232–e0174232. 19 indexed citations
8.
Batten, Jonathan A., Brian M. Lucey, Frank McGroarty, Maurice Peat, & Andrew Urquhart. (2017). Does intraday technical trading have predictive power in precious metal markets?. Journal of International Financial Markets Institutions and Money. 52. 102–113. 22 indexed citations
9.
Peat, Maurice, Jiří Švec, & Jue Wang. (2015). The effects of fiscal opacity on sovereign credit spreads. Emerging Markets Review. 24. 34–45. 19 indexed citations
10.
Urquhart, Andrew, Jonathan A. Batten, Brian M. Lucey, Frank McGroarty, & Maurice Peat. (2015). Does Technical Analysis Beat the Market? Evidence from High Frequency Trading in Gold and Silver. SSRN Electronic Journal. 3 indexed citations
11.
Wang, Jue, Jiří Švec, & Maurice Peat. (2014). The Information Content of Ratings: An Analysis of Australian Credit Default Swap Spreads. Abacus. 50(1). 56–75. 12 indexed citations
12.
Peat, Maurice, et al.. (2013). Liquidity and Expected Returns – Evidence from 1926-2008. SSRN Electronic Journal. 1 indexed citations
13.
Peat, Maurice. (2013). Big data in finance. 127(1). 34. 4 indexed citations
14.
Peat, Maurice, et al.. (2013). Liquidity and expected returns—Evidence from 1926–2008. International Review of Financial Analysis. 29. 10–23. 5 indexed citations
15.
Peat, Maurice & Stewart Jones. (2012). USING NEURAL NETS TO COMBINE INFORMATION SETS IN CORPORATE BANKRUPTCY PREDICTION. Intelligent systems in accounting, finance and management. 19(2). 90–101. 13 indexed citations
16.
Frino, Alex, et al.. (2011). The impact of auctions on residential property prices. Accounting and Finance. 52(3). 815–830. 6 indexed citations
17.
Peat, Maurice. (2009). Market Data Resources for Researchers: The SIRCA Data Repository. Australian Economic Review. 42(4). 490–495. 1 indexed citations
18.
Peat, Maurice. (2007). Factors Affecting the Probability of Bankruptcy: A Managerial Decision Based Approach. Abacus. 43(3). 303–324. 20 indexed citations
19.
Peat, Maurice, et al.. (2006). Risk Management and the Role of Spot Price Predictions in the Australian Retail Electricity Market. Studies in Nonlinear Dynamics and Econometrics. 10(3). 13 indexed citations
20.
Peat, Maurice, et al.. (2001). Forecasting Australian Unemployment Rates. UTS ePRESS (University of Technology Sydney). 4(1). 41–55. 3 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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