World's Best Scientists 2026 revealed!

D-Index & Metrics

Economics and Finance

D-Index
48
Citations
9765
World Ranking
1513
National Ranking
915

Norman R. Swanson 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 Norman R. Swanson 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: 216 publications — 66th percentile

66% of scientists in this discipline score the same or lower.

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

Norman R. Swanson 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 Norman R. Swanson 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: 48 D-Index — 61st percentile

61% of scientists in this discipline score the same or lower.

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

Overview

Norman R. Swanson is affiliated with Rutgers, The State University of New Jersey in the United States. Their research primarily focuses on economics, econometrics, and finance, with a particular emphasis on several interrelated subfields and specialized topics.

The main fields of study for their work include:

  • Economics and Econometrics
  • Finance
  • General Economics, Econometrics and Finance
  • Management Science and Operations Research
  • Statistics and Probability

Their research addresses topics such as:

  • Monetary Policy and Economic Impact
  • Market Dynamics and Volatility
  • Financial Risk and Volatility Modeling
  • Complex Systems and Time Series Analysis
  • Forecasting Techniques and Applications
  • Stock Market Forecasting Methods
  • Statistical Methods and Inference

Swanson's published work appears frequently in the following venues:

  • SSRN Electronic Journal
  • International Journal of Forecasting
  • Journal of Empirical Finance
  • Journal of Applied Econometrics
  • Annals of Financial Economics

Significant recent papers include:

  • The M6 forecasting competition: Bridging the gap between forecasting and investment decisions, 2024, International Journal of Forecasting
  • Forecasting volatility using double shrinkage methods, 2021, Journal of Empirical Finance
  • Predicting interest rates using shrinkage methods, real-time diffusion indexes, and model combinations, 2020, Journal of Applied Econometrics
  • New Evidence of the Marginal Predictive Content of Small and Large Jumps in the Cross-Section, 2020, Econometrics
  • The M6 forecasting competition: Bridging the gap between forecasting and investment decisions, 2023, arXiv (Cornell University)

Their frequent coauthors encompass a network of researchers with whom they have published multiple works, including:

  • John C. Chao
  • Xiye Yang
  • Spyros Makridakis
  • Evangelos Spiliotis
  • Fotios Petropoulos

Best Publications

  • Impulse Response Functions Based on a Causal Approach to Residual Orthogonalization in Vector Autoregressions

    Norman R. Swanson;Clive W. J. Granger

  • A Model Selection Approach to Real-Time Macroeconomic Forecasting Using Linear Models and Artificial Neural Networks

    Norman R. Swanson;Halbert White

  • Consistent Estimation with a Large Number of Weak Instruments

    John C. Chao;Norman R. Swanson

  • Forecasting economic and financial time-series with non-linear models

    Michael P. Clements;Philip Hans Franses;Norman R. Swanson

  • Money and Output Viewed Through a Rolling Window

    Norman R. Swanson

  • A Model-Selection Approach to Assessing the Information in the Term Structure Using Linear Models and Artificial Neural Networks

    Norman R. Swanson;Halbert White

  • Predictive Density Evaluation

    Valentina Corradi;Norman Swanson

  • Forecasting economic time series using flexible versus fixed specification and linear versus nonlinear econometric models

    Norman R. Swanson;Halbert White

  • An introduction to stochastic unit-root processes

    Clive W.J. Granger;Norman R. Swanson

  • Can we improve the perceived quality of economic forecasts

    Clive W. J. Granger

  • Further developments in the study of cointegrated variables

    C. W. J. Granger;Norman Swanson

  • An empirical investigation of the usefulness of ARFIMA models for predicting macroeconomic and financial time series

    Geetesh Bhardwaj;Norman R. Swanson

  • Instrumental Variable Estimation with Heteroskedasticity and Many Instruments

    Jerry A. Hausman;Whitney K. Newey;Tiemen Woutersen;John C. Chao

  • Forecasting financial and macroeconomic variables using data reduction methods: New empirical evidence

    Hyun Hak Kim;Norman R. Swanson

  • A consistent test for nonlinear out of sample predictive accuracy

    Valentina Corradi;Norman R. Swanson

  • Semiparametric ARX neural-network models with an application to forecasting inflation

    Xiaohong Chen;J. Racine;N.R. Swanson

  • Predictive density and conditional confidence interval accuracy tests

    Valentina Corradi;Norman R. Swanson

  • Chapter 5 Predictive Density Evaluation

    Valentina Corradi;Norman R. Swanson

  • Are Statistical Reporting Agencies Getting It Right? Data Rationality and Business Cycle Asymmetry

    Norman R Swanson;Dick van Dijk

  • Out-of-sample tests for Granger causality

    John Chao;Valentina Corradi;Norman R. Swanson

  • A Models Selection Approach to Real-Time Macroeconomic Forecasting Using Linear Models and Artificial Neural Networks

    Norman Swanson;Halbert White

  • Impulse Response Functions Based on Causal Approach to Residual Orthogonalization in Vector Autoregressions

    Norman Swanson;Clive Granger

Frequent Co-Authors

Eric Ghysels
Eric Ghysels University of North Carolina at Chapel Hill
Mark W. Watson
Mark W. Watson Princeton University
Clive W. J. Granger
Clive W. J. Granger University of California, San Diego
Halbert White
Halbert White University of California, San Diego
Kala Krishna
Kala Krishna Pennsylvania State University
Michael P. Clements
Michael P. Clements University of Reading
Jörg Breitung
Jörg Breitung University of Cologne
Peter Christoffersen
Peter Christoffersen University of Toronto
Philip Hans Franses
Philip Hans Franses Erasmus University Rotterdam

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