Edwin D. Maberly

1.4k total citations
43 papers, 1.0k citations indexed

About

Edwin D. Maberly is a scholar working on Finance, Economics and Econometrics and Accounting. According to data from OpenAlex, Edwin D. Maberly has authored 43 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Finance, 26 papers in Economics and Econometrics and 14 papers in Accounting. Recurrent topics in Edwin D. Maberly's work include Financial Markets and Investment Strategies (37 papers), Complex Systems and Time Series Analysis (11 papers) and Market Dynamics and Volatility (10 papers). Edwin D. Maberly is often cited by papers focused on Financial Markets and Investment Strategies (37 papers), Complex Systems and Time Series Analysis (11 papers) and Market Dynamics and Volatility (10 papers). Edwin D. Maberly collaborates with scholars based in United States, Australia and Japan. Edwin D. Maberly's co-authors include Josef Lakonishok, Edward A. Dyl, Anthony F. Herbst, Takato Hiraki, David S. Allen, Roy F. Gilbert, Dan W. French, Brian A. Maris, Stanley B. Block and Daniel F. Waggoner and has published in prestigious journals such as The Journal of Finance, Journal of Business Research and Journal of Banking & Finance.

In The Last Decade

Edwin D. Maberly

41 papers receiving 889 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Edwin D. Maberly United States 15 909 709 318 198 95 43 1.0k
Kathy Yuan United Kingdom 14 1.4k 1.5× 989 1.4× 513 1.6× 268 1.4× 77 0.8× 44 1.6k
Lior Menzly United States 5 498 0.5× 346 0.5× 251 0.8× 139 0.7× 63 0.7× 6 650
Valery Polkovnichenko United States 13 593 0.7× 650 0.9× 471 1.5× 125 0.6× 64 0.7× 28 923
Vesa Puttonen Finland 16 536 0.6× 389 0.5× 322 1.0× 88 0.4× 68 0.7× 66 752
Navin Chopra United States 8 829 0.9× 444 0.6× 492 1.5× 115 0.6× 130 1.4× 10 907
James Doran United States 13 535 0.6× 353 0.5× 222 0.7× 63 0.3× 62 0.7× 49 653
Jennifer L. Juergens United States 10 594 0.7× 368 0.5× 361 1.1× 119 0.6× 58 0.6× 19 741
Mitch Warachka United States 12 525 0.6× 318 0.4× 297 0.9× 71 0.4× 131 1.4× 45 681
Chuan-Yang Hwang Singapore 13 1.1k 1.2× 533 0.8× 646 2.0× 76 0.4× 209 2.2× 41 1.2k
Christian Julliard United Kingdom 12 850 0.9× 784 1.1× 289 0.9× 312 1.6× 46 0.5× 23 1.1k

Countries citing papers authored by Edwin D. Maberly

Since Specialization
Citations

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

Fields of papers citing papers by Edwin D. Maberly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Edwin D. Maberly. 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 Edwin D. Maberly. The network helps show where Edwin D. Maberly may publish in the future.

Co-authorship network of co-authors of Edwin D. Maberly

This figure shows the co-authorship network connecting the top 25 collaborators of Edwin D. Maberly. A scholar is included among the top collaborators of Edwin D. Maberly 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 Edwin D. Maberly. Edwin D. Maberly 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.
Maberly, Edwin D., et al.. (2011). Reconciling Theory with Post-Reverse Split Return Patterns: Empirical Findings Based on Recent Events. SSRN Electronic Journal. 2 indexed citations
2.
Maberly, Edwin D., et al.. (2009). Review of Early 2009 SEC Approved Rule Changes Impacting Exchange Traded Equity Options and Possible Implications. SSRN Electronic Journal. 1 indexed citations
3.
Maberly, Edwin D., et al.. (2009). Threshold levels, strike price grid, and other market microstructure issues associated with exchange‐traded equity options. Journal of Futures Markets. 30(2). 188–201. 2 indexed citations
4.
Maberly, Edwin D., et al.. (2007). Citation Patterns within the Leading Top-Tier Finance Journals: Implications for Journal Rankings and Other Issues. SSRN Electronic Journal. 10 indexed citations
5.
Maberly, Edwin D., et al.. (2004). Stock Market Efficiency Withstands another Challenge: Solving the "Sell in May/Buy after Halloween" Puzzle. Econ journal watch. 1(1). 29–46. 45 indexed citations
6.
Maberly, Edwin D., et al.. (2004). The Halloween Effect and Japanese Equity Prices: Myth or Exploitable Anomaly. SSRN Electronic Journal. 2 indexed citations
7.
Maberly, Edwin D., et al.. (2003). The Halloween Effect and Japanese Equity Prices: Myth or Exploitable Anomaly. Asia-Pacific Financial Markets. 10(4). 319–334. 18 indexed citations
8.
Hiraki, Takato, et al.. (1998). The impact of index futures trading on day-of-the-week effects in Japan. Pacific-Basin Finance Journal. 6(5). 493–506. 14 indexed citations
9.
Hiraki, Takato & Edwin D. Maberly. (1995). Are preholiday returns in Tokyo really anomalous? If so, why?. Pacific-Basin Finance Journal. 3(1). 93–111. 11 indexed citations
10.
Hiraki, Takato, et al.. (1995). The information content of end-of-the-day index futures returns: International evidence from the Osaka Nikkei 225 futures contract. Journal of Banking & Finance. 19(5). 921–936. 22 indexed citations
11.
Dyl, Edward A. & Edwin D. Maberly. (1992). Odd-Lot Transactions around the Turn of the Year and the January Effect. Journal of Financial and Quantitative Analysis. 27(4). 591–591. 75 indexed citations
12.
Herbst, Anthony F. & Edwin D. Maberly. (1992). The informational role of end‐of‐the‐day returns in stock index futures. Journal of Futures Markets. 12(5). 595–601. 5 indexed citations
13.
Herbst, Anthony F. & Edwin D. Maberly. (1991). An alternative methodology for measuring expiration day price effects at Friday's close: The expected price reversal—A note. Journal of Futures Markets. 11(6). 751–754. 6 indexed citations
14.
Maberly, Edwin D. & Brian A. Maris. (1991). The January effect, arbitrage opportunities, and derivative securities: Has anything changed?. Journal of Futures Markets. 11(2). 253–257. 8 indexed citations
15.
Herbst, Anthony F. & Edwin D. Maberly. (1990). Stock index futures, expiration day volatility, and the “special” friday opening: A note. Journal of Futures Markets. 10(3). 323–325. 33 indexed citations
16.
Christopher, K., et al.. (1989). The daily effect in the gold market: A reply. Journal of Futures Markets. 9(2). 175–177. 3 indexed citations
17.
Dyl, Edward A. & Edwin D. Maberly. (1988). A Possible Explanation of the Weekend Effect. Financial Analysts Journal. 44(3). 83–84. 35 indexed citations
18.
Dyl, Edward A. & Edwin D. Maberly. (1986). The daily distribution of changes in the price of stock index futures. Journal of Futures Markets. 6(4). 513–521. 27 indexed citations
19.
Maberly, Edwin D.. (1985). Testing futures market efficiency—A restatement. Journal of Futures Markets. 5(3). 425–432. 15 indexed citations
20.
Maberly, Edwin D.. (1982). The delivery period and daily price limits: A comment. Journal of Futures Markets. 2(1). 105–105. 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Kathy Yuan Breakdown of academic impact, for papers by Lior Menzly Breakdown of academic impact, for papers by Valery Polkovnichenko Breakdown of academic impact, for papers by Vesa Puttonen Breakdown of academic impact, for papers by Navin Chopra Breakdown of academic impact, for papers by James Doran Breakdown of academic impact, for papers by Jennifer L. Juergens Breakdown of academic impact, for papers by Mitch Warachka Breakdown of academic impact, for papers by Chuan-Yang Hwang Breakdown of academic impact, for papers by Christian Julliard
Rankless by CCL
2026