World's Best Scientists 2026 revealed!
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Rising Stars
2025

D-Index & Metrics

Rising Stars

D-Index
48
Citations
6784
World Ranking
369
National Ranking
122

Economics and Finance

D-Index
54
Citations
8376
World Ranking
1150
National Ranking
33

Feng Ma publication distribution in Economics and Finance in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Economics and Finance in 2026. The highlighted bar marks where Feng Ma sits on this spectrum.

42–46 publications: 1 scientists 47–51 publications: 12 scientists 52–56 publications: 7 scientists 57–61 publications: 23 scientists 62–66 publications: 32 scientists 67–71 publications: 36 scientists 72–76 publications: 56 scientists 77–81 publications: 57 scientists 82–86 publications: 70 scientists 87–91 publications: 86 scientists 92–96 publications: 72 scientists 97–101 publications: 106 scientists 102–106 publications: 97 scientists 107–111 publications: 96 scientists 112–116 publications: 101 scientists 117–121 publications: 103 scientists 122–126 publications: 102 scientists 127–131 publications: 108 scientists 132–136 publications: 107 scientists 137–141 publications: 111 scientists 142–146 publications: 94 scientists 147–151 publications: 96 scientists 152–156 publications: 100 scientists 157–161 publications: 74 scientists 162–166 publications: 68 scientists 167–171 publications: 91 scientists 172–176 publications: 76 scientists 177–181 publications: 75 scientists 182–186 publications: 61 scientists 187–191 publications: 66 scientists 192–196 publications: 68 scientists 197–201 publications: 71 scientists 202–206 publications: 60 scientists 207–211 publications: 56 scientists 212–216 publications: 44 scientists 217–221 publications: 51 scientists 222–226 publications: 65 scientists 227–231 publications: 48 scientists 232–236 publications: 59 scientists 237–241 publications: 37 scientists 242–246 publications: 37 scientists 247–251 publications: 41 scientists 252–256 publications: 43 scientists 257–261 publications: 33 scientists 262–266 publications: 34 scientists 267–271 publications: 39 scientists 272–276 publications: 25 scientists 277–281 publications: 29 scientists 282–286 publications: 29 scientists 287–291 publications: 26 scientists 292–296 publications: 31 scientists 297–301 publications: 31 scientists 302–306 publications: 24 scientists 307–311 publications: 28 scientists 312–316 publications: 24 scientists 317–321 publications: 13 scientists 322–326 publications: 14 scientists 327–331 publications: 25 scientists 332–336 publications: 18 scientists 337–341 publications: 16 scientists 342–346 publications: 18 scientists 347–351 publications: 15 scientists 352–356 publications: 17 scientists 357–361 publications: 19 scientists 362–366 publications: 16 scientists 367–371 publications: 17 scientists 372–376 publications: 7 scientists 377–381 publications: 18 scientists 382–386 publications: 13 scientists 387–391 publications: 19 scientists 392–396 publications: 9 scientists 397–401 publications: 10 scientists 402–406 publications: 13 scientists 407–411 publications: 13 scientists 412–416 publications: 5 scientists 417–421 publications: 10 scientists 422–426 publications: 6 scientists 427–431 publications: 12 scientists 432–436 publications: 9 scientists 437–441 publications: 9 scientists 442–446 publications: 10 scientists 447–451 publications: 12 scientists 452–456 publications: 8 scientists 457–461 publications: 4 scientists 462–466 publications: 7 scientists 467–471 publications: 4 scientists 472–476 publications: 5 scientists 477–481 publications: 6 scientists 482–486 publications: 7 scientists 487–491 publications: 8 scientists 492–496 publications: 5 scientists 497–501 publications: 4 scientists 502–506 publications: 4 scientists 507–511 publications: 5 scientists 512–516 publications: 7 scientists 517–520 publications: 7 scientists 521+ publications: 99 scientists
42 publications 521+

This scientist: 169 publications — 50th percentile

50% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 521 publications or more.

Feng Ma D-index placement in Economics and Finance in 2026

The chart shows the D-index (discipline H-index) distribution of Economics and Finance scientists ranked by Research.com in 2026. The highlighted bar marks where Feng Ma sits on this spectrum.

30 D-Index: 126 scientists 31 D-Index: 147 scientists 32 D-Index: 157 scientists 33 D-Index: 178 scientists 34 D-Index: 171 scientists 35 D-Index: 141 scientists 36 D-Index: 132 scientists 37 D-Index: 129 scientists 38 D-Index: 130 scientists 39 D-Index: 120 scientists 40 D-Index: 117 scientists 41 D-Index: 113 scientists 42 D-Index: 114 scientists 43 D-Index: 97 scientists 44 D-Index: 115 scientists 45 D-Index: 86 scientists 46 D-Index: 78 scientists 47 D-Index: 83 scientists 48 D-Index: 62 scientists 49 D-Index: 74 scientists 50 D-Index: 50 scientists 51 D-Index: 66 scientists 52 D-Index: 69 scientists 53 D-Index: 55 scientists 54 D-Index: 67 scientists 55 D-Index: 61 scientists 56 D-Index: 62 scientists 57 D-Index: 45 scientists 58 D-Index: 34 scientists 59 D-Index: 47 scientists 60 D-Index: 46 scientists 61 D-Index: 36 scientists 62 D-Index: 37 scientists 63 D-Index: 56 scientists 64 D-Index: 50 scientists 65 D-Index: 32 scientists 66 D-Index: 28 scientists 67 D-Index: 30 scientists 68 D-Index: 24 scientists 69 D-Index: 25 scientists 70 D-Index: 22 scientists 71 D-Index: 21 scientists 72 D-Index: 26 scientists 73 D-Index: 24 scientists 74 D-Index: 23 scientists 75 D-Index: 12 scientists 76 D-Index: 14 scientists 77 D-Index: 15 scientists 78 D-Index: 15 scientists 79 D-Index: 17 scientists 80 D-Index: 17 scientists 81 D-Index: 11 scientists 82 D-Index: 10 scientists 83 D-Index: 16 scientists 84 D-Index: 11 scientists 85 D-Index: 5 scientists 86 D-Index: 9 scientists 87 D-Index: 13 scientists 88 D-Index: 9 scientists 89 D-Index: 7 scientists 90 D-Index: 6 scientists 91 D-Index: 4 scientists 92 D-Index: 8 scientists 93 D-Index: 10 scientists 94 D-Index: 11 scientists 95 D-Index: 6 scientists 96 D-Index: 4 scientists 97 D-Index: 4 scientists 98 D-Index: 6 scientists 99 D-Index: 6 scientists 100 D-Index: 8 scientists 101+ D-Index: 100 scientists
30 D-Index 101+

This scientist: 54 D-Index — 71st percentile

71% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 101 D-Index or more.

Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

Feng Ma is a researcher affiliated with Southwest Jiaotong University in China, specializing primarily in the field of Economics, Econometrics and Finance. Their academic work spans several subfields, including Economics and Econometrics, Finance, General Economics, Econometrics and Finance, Management Science and Operations Research, and Renewable Energy, Sustainability and the Environment.

The scientist's research addresses a range of topics with a significant focus on market behavior and economic dynamics. The main topics covered in their work include:

  • Market Dynamics and Volatility
  • Energy, Environment, Economic Growth
  • Monetary Policy and Economic Impact
  • Financial Risk and Volatility Modeling
  • Stock Market Forecasting Methods
  • Financial Markets and Investment Strategies
  • Energy, Environment, and Transportation Policies

Feng Ma has contributed to the literature through several recent publications, including:

  • "Climate policy uncertainty and world renewable energy index volatility forecasting", 2022, Technological Forecasting and Social Change
  • "Forecasting stock index price using the CEEMDAN-LSTM model", 2021, The North American Journal of Economics and Finance
  • "Volatility of clean energy and natural gas, uncertainty indices, and global economic conditions", 2022, Energy Economics
  • "Which popular predictor is more useful to forecast international stock markets during the coronavirus pandemic: VIX vs EPU?", 2020, International Review of Financial Analysis
  • "Forecasting global equity market volatilities", 2020, International Journal of Forecasting

The scientist frequently publishes in several academic journals, reflecting their research breadth and focus areas. Key publication venues include:

  • International Review of Financial Analysis
  • Energy Economics
  • Journal of Forecasting
  • Finance Research Letters
  • International Journal of Finance & Economics

Collaboration is a notable aspect of Feng Ma's research. Frequent coauthors include:

  • Xinjie Lu
  • Jiqian Wang
  • Chao Liang
  • M.I.M. Wahab
  • Fei Lü

Best Publications

  • Climate policy uncertainty and world renewable energy index volatility forecasting

    Unknown

  • Forecasting realized volatility in a changing world: A dynamic model averaging approach

    Yudong Wang;Feng Ma;Yu Wei;Chongfeng Wu

  • Geopolitical risk and oil volatility: A new insight

    Jing Liu;Feng Ma;Yingkai Tang;Yaojie Zhang

  • Forecasting crude oil prices with a large set of predictors: Can LASSO select powerful predictors?

    Yaojie Zhang;Feng Ma;Yudong Wang

  • Volatility of clean energy and natural gas, uncertainty indices, and global economic conditions

    Unknown

  • Asymmetric volatility spillovers between oil and stock markets: Evidence from China and the United States

    Weiju Xu;Feng Ma;Wang Chen;Bing Zhang

  • Geopolitical risk uncertainty and oil future volatility: Evidence from MIDAS models

    Dexiang Mei;Feng Ma;Yin Liao;Lu Wang

  • Harnessing jump component for crude oil volatility forecasting in the presence of extreme shocks

    Feng Ma;Yin Liao;Yaojie Zhang;Yang Cao

  • Forecasting stock index price using the CEEMDAN-LSTM model

    Yu Lin;Yan Yan;Jiali Xu;Ying Liao

  • Forecasting stock price volatility: New evidence from the GARCH-MIDAS model

    Lu Wang;Feng Ma;Jing Liu;Lin Yang

  • Forecasting the realized volatility of the oil futures market: A regime switching approach

    Feng Ma;M.I.M. Wahab;Dengshi Huang;Weiju Xu

  • Economic policy uncertainty and the Chinese stock market volatility: Novel evidence

    Tao Li;Feng Ma;Xuehua Zhang;Yaojie Zhang

  • Forecasting the prices of crude oil: An iterated combination approach

    Yaojie Zhang;Feng Ma;Benshan Shi;Dengshi Huang

  • Which popular predictor is more useful to forecast international stock markets during the coronavirus pandemic: VIX vs EPU?

    Jiqian Wang;Xinjie Lu;Feng He;Feng Ma

  • Policy uncertainty and carbon neutrality: Evidence from China

    Unknown

  • Multifractal detrended cross-correlation analysis between the Chinese stock market and surrounding stock markets

    Feng Ma;Yu Wei;Dengshi Huang

  • Forecasting global equity market volatilities

    Yaojie Zhang;Feng Ma;Yin Liao

  • The information content of uncertainty indices for natural gas futures volatility forecasting

    Chao Liang;Feng Ma;Lu Wang;Qing Zeng

  • Forecasting realized volatility of oil futures market: A new insight

    Feng Ma;Yu Wei;Li Liu;Dengshi Huang

  • Economic policy uncertainty and the Chinese stock market volatility: new evidence

    Unknown

  • Can economic policy uncertainty help to forecast the volatility: A multifractal perspective

    Zhicao Liu;Yong Ye;Feng Ma;Jing Liu

  • Forecasting the aggregate oil price volatility in a data-rich environment

    Feng Ma;Jing Liu;Jing Liu;M.I.M. Wahab;Yaojie Zhang

  • The role of oil futures intraday information on predicting US stock market volatility

    Yusui Tang;Xiao Xiao;M.I.M. Wahab;Feng Ma

  • Crude oil and BRICS stock markets under extreme shocks: New evidence

    Lu Wang;Feng Ma;Tianjiao Niu;Chengting He

Frequent Co-Authors

Yaojie Zhang
Yaojie Zhang Nanjing University of Science and Technology
Yu Wei
Yu Wei Yunnan University of Finance And Economics
Li Liu
Li Liu International Monetary Fund
Yudong Wang
Yudong Wang Nanjing University of Science and Technology
Julien Chevallier
Julien Chevallier Paris 8 University

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