World's Best Scientists 2026 revealed!

D-Index & Metrics

Economics and Finance

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

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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