Mohammad Najand

1.1k total citations
41 papers, 789 citations indexed

About

Mohammad Najand is a scholar working on Finance, Economics and Econometrics and General Economics, Econometrics and Finance. According to data from OpenAlex, Mohammad Najand has authored 41 papers receiving a total of 789 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Finance, 34 papers in Economics and Econometrics and 8 papers in General Economics, Econometrics and Finance. Recurrent topics in Mohammad Najand's work include Financial Markets and Investment Strategies (29 papers), Market Dynamics and Volatility (27 papers) and Financial Risk and Volatility Modeling (16 papers). Mohammad Najand is often cited by papers focused on Financial Markets and Investment Strategies (29 papers), Market Dynamics and Volatility (27 papers) and Financial Risk and Volatility Modeling (16 papers). Mohammad Najand collaborates with scholars based in United States, Ghana and South Korea. Mohammad Najand's co-authors include Jiancheng Shen, Licheng Sun, John M. Griffith, Douglas E. Ziegenfuss, Joseph McCarthy, Kenneth Yung, Bruce Seifert, Gregory Noronha, Hamid Rahman and Larry J. Prather and has published in prestigious journals such as Journal of Banking & Finance, International Review of Financial Analysis and Journal of Business Finance & Accounting.

In The Last Decade

Mohammad Najand

38 papers receiving 715 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohammad Najand United States 14 583 546 188 183 162 41 789
Harry Mamaysky United States 11 733 1.3× 516 0.9× 270 1.4× 136 0.7× 135 0.8× 32 879
Francisco Barillas United States 8 648 1.1× 525 1.0× 209 1.1× 207 1.1× 168 1.0× 14 844
Elena Kalotychou United Kingdom 15 498 0.9× 331 0.6× 278 1.5× 174 1.0× 65 0.4× 43 770
Licheng Sun United States 10 827 1.4× 718 1.3× 151 0.8× 254 1.4× 133 0.8× 39 995
Shuh-Chyi Doong Taiwan 10 400 0.7× 370 0.7× 220 1.2× 165 0.9× 68 0.4× 16 593
Alain Chaboud United States 16 966 1.7× 794 1.5× 145 0.8× 446 2.4× 195 1.2× 37 1.2k
Carol L. Osler United States 18 916 1.6× 816 1.5× 181 1.0× 412 2.3× 233 1.4× 47 1.1k
Alexander Kurov United States 19 920 1.6× 928 1.7× 267 1.4× 441 2.4× 164 1.0× 62 1.2k
Petko S. Kalev Australia 14 637 1.1× 501 0.9× 284 1.5× 105 0.6× 110 0.7× 66 811
Shmuel Hauser Israel 16 495 0.8× 362 0.7× 344 1.8× 167 0.9× 102 0.6× 48 749

Countries citing papers authored by Mohammad Najand

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Najand

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammad Najand

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Najand. A scholar is included among the top collaborators of Mohammad Najand 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 Mohammad Najand. Mohammad Najand 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.
Najand, Mohammad, et al.. (2024). Retail Trading Around Earnings Announcements: Evidence from Robinhood Traders. Journal of Behavioral Finance. 27(1). 113–136.
2.
Zheng, Xianrong, et al.. (2024). Forecasting Crude Oil Price Using Multiple Factors. Journal of risk and financial management. 17(9). 415–415.
3.
Yung, Kenneth, et al.. (2023). From low resource slack to inflexibility: The share price effect of operational efficiency. International Review of Financial Analysis. 90. 102927–102927. 7 indexed citations
4.
Askarzadeh, Alireza, Kenneth Yung, & Mohammad Najand. (2023). Managerial sentiment and predicted and opportunistic special items. Journal of Corporate Accounting & Finance. 34(3). 302–317. 9 indexed citations
5.
Najand, Mohammad, et al.. (2022). Geographical diversification using ETFs: Multinational evidence from COVID-19 pandemic. International Review of Financial Analysis. 83. 102261–102261. 3 indexed citations
6.
Najand, Mohammad, et al.. (2022). Geographical Diversification Using ETFs: Multinational Evidence from COVID-19 Pandemic. SSRN Electronic Journal. 1 indexed citations
7.
Griffith, John M., Mohammad Najand, & Jiancheng Shen. (2019). Emotions in the Stock Market. Journal of Behavioral Finance. 21(1). 42–56. 70 indexed citations
8.
Sun, Licheng, Mohammad Najand, & Jiancheng Shen. (2016). Stock return predictability and investor sentiment: A high-frequency perspective. Journal of Banking & Finance. 73. 147–164. 161 indexed citations
9.
Sun, Licheng, Mohammad Najand, & Jiancheng Shen. (2015). Stock Return Predictability and Investor Sentiment: A High-Frequency Perspective. SSRN Electronic Journal. 18 indexed citations
10.
Najand, Mohammad & Hamid Rahman. (2008). Stock Market Volatility and Macroeconomic Variables. 9 indexed citations
11.
Najand, Mohammad, et al.. (2008). Trading volume, time-varying conditional volatility, and asymmetric volatility spillover in the Saudi stock market. Journal of Multinational Financial Management. 19(2). 139–159. 42 indexed citations
12.
Griffith, John M. & Mohammad Najand. (2007). Reit Executive Compensation, Performance, and Management Power: Evidence from Panel Data. SSRN Electronic Journal. 2 indexed citations
13.
Najand, Mohammad. (2002). Forecasting Stock Index Futures Price Volatility: Linear vs. Nonlinear Models. Financial Review. 37(1). 93–104. 12 indexed citations
14.
Najand, Mohammad & Larry J. Prather. (1999). The risk level discriminatory power of mutual fund investment objectives: Additional evidence. Journal of Financial Markets. 2(3). 307–328. 13 indexed citations
15.
Najand, Mohammad, et al.. (1999). ARE THE STRUCTURAL CHANGES IN MUTUAL FUNDS INVESTING DRIVING THE U.S. STOCK MARKET TO ITS CURRENT LEVELS?. The Journal of Financial Research. 22(3). 317–329. 17 indexed citations
16.
Najand, Mohammad & Gregory Noronha. (1998). Causal relations among stock returns, inflation, real activity, and interest rates: Evidence from Japan. Global Finance Journal. 9(1). 71–80. 20 indexed citations
17.
Najand, Mohammad & Kenneth Yung. (1994). CONDITIONAL HETEROSKEDASTICITY AND THE WEEKEND EFFECT IN S&P 500 INDEX FUTURES. Journal of Business Finance & Accounting. 21(4). 603–612. 13 indexed citations
18.
Najand, Mohammad. (1991). A TEST OF THE RISK PREMIUM HYPOTHESIS. The Journal of Financial Research. 14(3). 207–216. 4 indexed citations
19.
Najand, Mohammad, et al.. (1991). A test of two models in forecasting stock index futures price volatility. Journal of Futures Markets. 11(2). 179–190. 11 indexed citations
20.
McCarthy, Joseph, Mohammad Najand, & Bruce Seifert. (1990). Empirical Tests of the Proxy Hypothesis. Financial Review. 25(2). 251–263. 26 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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