World's Best Scientists 2026 revealed!

D-Index & Metrics

Economics and Finance

D-Index
42
Citations
10086
World Ranking
2036
National Ranking
1184

Yongmiao Hong 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 Yongmiao Hong 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: 184 publications — 56th percentile

56% of scientists in this discipline score the same or lower.

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

Yongmiao Hong 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 Yongmiao Hong 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: 42 D-Index — 47th percentile

47% of scientists in this discipline score the same or lower.

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

Overview

Yongmiao Hong is affiliated with Cornell University in the United States and specializes in the fields of economics, econometrics, and finance. Their research output spans a variety of topics within these areas, with particular focus on monetary policy, market dynamics, financial risk, and statistical methods.

The main fields of study for this scientist include:

  • Economics, Econometrics and Finance

Their subfields of study highlight further specialization in:

  • Economics and Econometrics
  • Finance
  • General Economics, Econometrics and Finance
  • Statistics and Probability
  • Renewable Energy, Sustainability and the Environment

Yongmiao Hong's research topics cover a broad spectrum, including:

  • Monetary Policy and Economic Impact
  • Market Dynamics and Volatility
  • Financial Risk and Volatility Modeling
  • Statistical Methods and Inference
  • Energy, Environment, and Transportation Policies
  • Financial Markets and Investment Strategies
  • Blockchain Technology Applications and Security

The scientist has contributed to various publications, with recent papers including:

  • Policy assessments for the carbon emission flows and sustainability of Bitcoin blockchain operation in China (2021, Nature Communications)
  • Policy Assessments for the Carbon Emission Flows and Sustainability of Bitcoin Blockchain Operation in China (2020, Research Square)
  • Probabilistic and deterministic wind speed forecasting based on non-parametric approaches and wind characteristics information (2021, Applied Energy)
  • Time-varying model averaging (2020, Journal of Econometrics)
  • Forecasting crude oil price intervals and return volatility via autoregressive conditional interval models (2021, Econometric Reviews)

Frequent coauthors working with Yongmiao Hong include:

  • Shouyang Wang
  • Jiajing Sun
  • Yuying Sun
  • Haiqi Li
  • Zhonghao Fu

Common venues where Yongmiao Hong publishes research are:

  • SSRN Electronic Journal
  • Journal of Econometrics
  • Economics Letters
  • International Review of Financial Analysis
  • Econometric Reviews

Additionally, Yongmiao Hong has contributed to book publications, including one titled Foundations of Modern Econometrics published by World Scientific in 2020.

Best Publications

  • Autonomy and Incentives in Chinese State Enterprises

    Theodore Groves;Yongmiao Hong;John McMillan;Barry Naughton

  • China's Evolving Managerial Labor Market

    Theodore Groves;Yongmiao Hong;John McMillan;Barry Naughton

  • A test for volatility spillover with application to exchange rates

    Yongmiao Hong;Yongmiao Hong

  • Asymmetries in Stock Returns: Statistical Tests and Economic Evaluation

    Yongmiao Hong;Jun Tu;Guofu Zhou

  • Asymmetries in Stock Returns: Statistical Tests and Economic Evaluation

    Yongmiao Hong;Jun Tu;Guofu Zhou

  • Granger Causality in Risk and Detection of Extreme Risk Spillover Between Financial Markets

    Yongmiao Hong;Yanhui Liu;Shouyang Wang

  • Granger Causality in Risk and Detection of Extreme Risk Spillover Between Financial Markets

    Yongmiao Hong;Yongmiao Hong;Yanhui Liu;Shouyang Wang

  • Nonparametric Specification Testing for Continuous-Time Models with Applications to Term Structure of Interest Rates

    Yongmiao Hong;Haitao Li

  • Do China's high-speed-rail projects promote local economy?—New evidence from a panel data approach

    Xiao Ke;Haiqiang Chen;Yongmiao Hong;Yongmiao Hong;Cheng Hsiao;Cheng Hsiao

  • Constistent specification testing via nonparametric series regression

    Yongmiao Hong;Halbert White

  • Hypothesis Testing in Time Series via the Empirical Characteristic Function: A Generalized Spectral Density Approach

    Yongmiao Hong

  • Consistent testing for serial correlation of unknown form

    Yongmiao Hong

  • Testing for Smooth Structural Changes in Time Series Models via Nonparametric Regression

    Bin Chen;Yongmiao Hong

  • Policy assessments for the carbon emission flows and sustainability of Bitcoin blockchain operation in China

    Shangrong Jiang;Yuze Li;Quanying Lu;Yongmiao Hong;Yongmiao Hong

  • ASYMPTOTIC DISTRIBUTION THEORY FOR NONPARAMETRIC ENTROPY MEASURES OF SERIAL DEPENDENCE

    Yongmiao Hong;Halbert White

  • Inference on Predictability of Foreign Exchange Rates via Generalized Spectrum and Nonlinear Time Series Models

    Yongmiao Hong;Tae-Hwy Lee

  • Generalized Spectral Tests for Conditional Mean Models in Time Series with Conditional Heteroscedasticity of Unknown Form

    Yongmiao Hong;Yoon-Jin Lee

  • Time-varying Granger causality tests for applications in global crude oil markets

    Feng-bin Lu;Yong-miao Hong;Shou-yang Wang;Kin-keung Lai

  • Testing for independence between two covariance stationary time series

    Yongmiao Hong

  • Testing for independence between two covariance stationary time series

    Yongmiao Hong

  • Can the random walk model be beaten in out-of-sample density forecasts? Evidence from intraday foreign exchange rates

    Yongmiao Hong;Yongmiao Hong;Haitao Li;Feng Zhao

  • Out-of-Sample Performance of Discrete-Time Spot Interest Rate Models

    Yongmiao Hong;Haitao Li;Feng Zhao

  • Financial Volatility Forecasting with Range-based Autoregressive Volatility Model

    Hongquan Li;Yongmiao Hong

Frequent Co-Authors

Shouyang Wang
Shouyang Wang Chinese Academy of Sciences
Halbert White
Halbert White University of California, San Diego
Cheng Hsiao
Cheng Hsiao University of Southern California
Guofu Zhou
Guofu Zhou Washington University in St. Louis
Kin Keung Lai
Kin Keung Lai Shaanxi Normal University
John McMillan
John McMillan Stanford University
Jiti Gao
Jiti Gao Monash University

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