World's Best Scientists 2026 revealed!

D-Index & Metrics

Economics and Finance

D-Index
52
Citations
22044
World Ranking
1222
National Ranking
136

Richard T. Baillie 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 Richard T. Baillie 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: 159 publications — 46th percentile

46% of scientists in this discipline score the same or lower.

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

Richard T. Baillie 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 Richard T. Baillie 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: 52 D-Index — 68th percentile

68% 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

  • 2001 - Fellow of the American Statistical Association (ASA)

Overview

Richard T. Baillie is affiliated with King's College London in the United Kingdom. Their research primarily centers on Economics, Econometrics, and Finance, with 21 publications in this main field. The subfields covered by their work include Finance, Economics and Econometrics, General Economics, Econometrics and Finance, Control and Systems Engineering, as well as Statistics and Probability.

Key topics addressed in Baillie's research span Monetary Policy and Economic Impact, Market Dynamics and Volatility, Financial Markets and Investment Strategies, Financial Risk and Volatility Modeling, Complex Systems and Time Series Analysis, Fault Detection and Control Systems, and Advanced Statistical Methods and Models.

Recent papers authored by Baillie include:

  • A new test for market efficiency and uncovered interest parity, 2022, Journal of International Money and Finance
  • On robust inference in time-series regression, 2024, Econometrics Journal
  • Hierarchical Time-Varying Estimation of Asset Pricing Models, 2022, Journal of risk and financial management
  • Combining Long and Short Memory in Time Series Models: the Role of Asymptotic Correlations of the MLEs, 2022, Econometrics and Statistics
  • A New Test for Market Efficiency and Uncovered Interest Parity, 2022, SSRN Electronic Journal

Baillie frequently collaborates with several researchers, including George Kapetanios, Kun Ho Kim, Francis X. Diebold, Dooyeon Cho, and Seunghwa Rho.

Publication venues where Baillie has contributed multiple works include SSRN Electronic Journal, Journal of International Money and Finance, arXiv (Cornell University), Econometrics Journal, and Journal of risk and financial management.

In 2001, Baillie was awarded the status of Fellow of the American Statistical Association (ASA).

Best Publications

  • Fractionally integrated generalized autoregressive conditional heteroskedasticity

    Richard T. Baillie;Tim Bollerslev;Hans Ole Mikkelsen

  • Long memory processes and fractional integration in econometrics

    Richard T. Baillie

  • The Message in Daily Exchange Rates: A Conditional-Variance Tale

    Richard T. Baillie;Tim Bollerslev

  • Stock Returns and Volatility

    Richard T. Baillie;Ramon P. DeGennaro

  • Bivariate garch estimation of the optimal commodity futures Hedge

    Richard T. Baillie;Robert J. Myers

  • Common Stochastic Trends in a System of Exchange Rates

    Richard T. Baillie;Tim Bollerslev

  • Analysing inflation by the fractionally integrated ARFIMA–GARCH model

    Richard T. Baillie;Ching-Fan Chung;Margie A. Tieslau

  • Intra-Day and Inter-Market Volatility in Foreign Exchange Rates

    Richard T. Baillie;Tim Bollerslev

  • Price discovery and common factor models

    Richard T. Baillie;G. Geoffrey Booth;Yiuman Tse;Tatyana Zabotina

  • The Foreign Exchange Market: Theory and Econometric Evidence

    Patrick Minford;Richard Baillie;Patrick McMahon

  • Cointegration, Fractional Cointegration, and Exchange Rate Dynamics

    Richard T. Baillie;Tim Bollerslev

  • The forward premium anomaly is not as bad as you think

    Richard T. Baillie;Tim Bollerslev

  • A multivariate generalized ARCH approach to modeling risk premia in forward foreign exchange rate markets

    Richard T. Baillie;Tim Bollerslev

  • Prediction in dynamic models with time-dependent conditional variances

    Richard T. Baillie;Tim Bollerslev

  • Cointegration and models of exchange rate determination

    Richard T. Baillie;David D. Selover

  • The Long-Memory of the Forward Premium

    Richard T Baillie;Tim Bollerslev

  • The Message in Daily Exchange Rates: A Conditional-Variance Tale

    Unknown

  • Why do central banks intervene

    Richard T. Baillie;William P. Osterberg

  • The Message in Daily Exchange Rates: A Conditional-Variance Tale

    Unknown

  • Testing rational expectations and efficiency in the foreign exchange market

    Richard T. Baillie;Robert E. Lippens;Patrick C. McMahon

  • Modelling long memory and structural breaks in conditional variances: An adaptive FIGARCH approach

    Richard T. Baillie;Richard T. Baillie;Claudio Morana

  • Do Asymmetric and Nonlinear Adjustments Explain the Forward Premium Anomaly

    Richard T. Baillie;Richard T. Baillie;Rehim Kiliç

  • Handbook of econometrics : Zvi Griliches and Michael D. Intriligator, eds., vol. 1 (North Holland, Amsterdam, 1983) pp. 771

    Unknown

Frequent Co-Authors

Tim Bollerslev
Tim Bollerslev Duke University
George Kapetanios
George Kapetanios King's College London
Hira L. Koul
Hira L. Koul Michigan State University
Yiuman Tse
Yiuman Tse University of Missouri–St. Louis
G. Geoffrey Booth
G. Geoffrey Booth Michigan State University
Francis X. Diebold
Francis X. Diebold University of Pennsylvania
Badi H. Baltagi
Badi H. Baltagi Syracuse University
Donatas Surgailis
Donatas Surgailis Vilnius University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

For students interested in Economics and Finance, a variety of online graduate programs can help advance your career and deepen your skill set. Many professionals opt for an online mba no gmat requirement, allowing for a flexible admissions process and a comprehensive look at business management, strategy, and finance.

Data-driven decision making is increasingly important across industries. Pursuing a ms in data analytics online can provide the analytical skills needed to interpret complex financial data and market trends. Alternatively, a specialized online business intelligence degree focuses on tools and techniques to collect, manage, and analyze business information for strategic advantage.

For those drawn to management roles, a master's organizational leadership online develops crucial leadership and change management skills. These pathways prepare graduates for a range of high-demand careers in banking, investment, consulting, and corporate leadership.

Best Scientists Citing Richard T. Baillie

Trending Scientists

Recently Published Articles