Tim Bollerslev

75.9k citations
80 papers · 43.3k · 17 hit papers · h-index 57

Impact in

  • Finance top 0.01%
    • Financial Risk and Volatility Modeling
    • Financial Markets and Investment Strategies
    • Stochastic processes and financial applications
    • Global Financial Crisis and Policies
    • Monetary Policy and Economic Impact

Papers in

Tim Bollerslev

79 papers receiving 38.8k citations

Tim Bollerslev's Hit Papers

Risk Everywhere: Modeling and Managing Volatility 2018 · 227 citations
2270+13+26Years since publication4.0k8.0k12.0k

Peers

Tim Bollerslev
Comparison fields: 5 of 153
  • Finance 35.1k
  • General Economics, Econometrics and Finance 14.0k
  • Economics and Econometrics 33.1k
  • Management Science and Operations Research 4.4k
  • Statistics and Probability 2.0k
Replace Francis X. Diebold with:
Francis X. Diebold United States
James Douglas Hamilton United States
Pierre Perrón United States
Mark W. Watson United States
Søren Johansen Denmark
Robert F. Engle United States
Bruce E. Hansen United States
Donald W. K. Andrews United States
Whitney K. Newey United States
Christopher A. Sims United States
Tim Bollerslev relative to Francis X. Diebold United States Francis X. Diebold's profile →
Citations per field
00.5×1.5×2.0×
Francis X. Diebold · 1×
Citations per year

Countries citing papers authored by Tim Bollerslev

Since Specialization
Citations

This map shows the geographic impact of Tim Bollerslev's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Tim Bollerslev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Bollerslev more than expected).

Fields of papers citing papers by Tim Bollerslev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tim Bollerslev. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Tim Bollerslev. The network helps show where Tim Bollerslev may publish in the future.

Co-authors

The 25 scholars most cited alongside Tim Bollerslev, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tim Bollerslev Line = papers co-authored together Tim Bollerslev links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Generalized autoregressive conditional heteroskedasticity
Hit paper breakdown →
198613997
2
ARCH modeling in finance
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19922825
3
Modeling and Forecasting Realized Volatility
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20032222
4
Modelling the Coherence in Short-Run Nominal Exchange Rates: A Multivariate Generalized Arch Model
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19902209
5
Answering the Skeptics: Yes, Standard Volatility Models do Provide Accurate Forecasts
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19982103
6
Quasi-maximum likelihood estimation and inference in dynamic models with time-varying covariances
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19922085
7
A Conditionally Heteroskedastic Time Series Model for Speculative Prices and Rates of Return
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19871659
8
Fractionally integrated generalized autoregressive conditional heteroskedasticity
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19961476
9
Modelling the persistence of conditional variances
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19861349
10
The Distribution of Realized Exchange Rate Volatility
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20011302
11
Generalized autoregressive conditional heteroscedasticity
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19861207
12
Roughing It Up: Including Jump Components in the Measurement, Modeling, and Forecasting of Return Volatility
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20071018
13
Modeling and pricing long memory in stock market volatility
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1996793
14
Intraday periodicity and volatility persistence in financial markets
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1997754
15
Micro Effects of Macro Announcements: Real-Time Price Discovery in Foreign Exchange
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2003740
16 1994534
17 1997381
18 1991339
19 2002315
20
Exploiting the errors: A simple approach for improved volatility forecasting
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2015274

About Tim Bollerslev

Tim Bollerslev is a scholar working on Finance, General Economics, Econometrics and Finance, Economics and Econometrics, Statistics and Probability and Management Science and Operations Research, having authored 80 papers that have together received 43.3k indexed citations. Recurring topics across this work include Financial Risk and Volatility Modeling (69 papers), Market Dynamics and Volatility (54 papers), Monetary Policy and Economic Impact (32 papers), Complex Systems and Time Series Analysis (25 papers), Stochastic processes and financial applications (20 papers), Financial Markets and Investment Strategies (17 papers), Housing Market and Economics (1 paper) and Economic theories and models (1 paper). The work is most often cited by research in Finance (35.1k citations), General Economics, Econometrics and Finance (14.0k citations), Economics and Econometrics (33.1k citations), Management Science and Operations Research (4.4k citations) and Statistics and Probability (2.0k citations). Tim Bollerslev has collaborated with scholars based in United States, Canada and Netherlands. Frequent co-authors include Torben Gustav Andersen, Francis X. Diebold, Richard T. Baillie, Jeffrey M. Wooldridge, Kenneth F. Kroner, Ray Yeutien Chou, Robert F. Engle, Paul Labys, Clara Vega and Daniel B. Nelson. Their work appears in journals such as Journal of Econometrics, Journal of Business and Economic Statistics, Journal of International Money and Finance, The Review of Economics and Statistics and The Journal of Finance.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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