Faculty

Institution

Unit

Venue

David Easley

Professor

Cornell University

Affiliations

College of Arts and Sciences

Department of Economics

College of Computing and Information Science

Department of Information Science

David Easley is currently serving as a College Of Arts And Sciences Professor at Cornell University.

Honors

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Experiences

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Education

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David Easley

Cornell University

Professor

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finance economics financial economics market (economics) market microstructure theoretical economics finance research market design trading model financial analysis asset pricing economic behavior global networks capital markets economic theory financial studies business international financial markets economic dynamics economic analysis quantitative analysis (finance) market equilibrium financial stability economic modelling social networks social choice accounting market mechanisms network theory economic research decision science algorithmic trading information economics liquidity high-frequency trading social simulation empirical finance stock market prediction economics of networks behavioral decision making flow trading general equilibrium theory information diffusion dynamic competition market equilibrium computation quantitative management financial network analysis expectation formation cryptocurrency automated trading network dynamics behavioral game theory incomplete markets sequential decision making stochastic dynamics network evolution security markets high-frequency financial econometrics imperfect information game order flow volume clock information asymmetry investment strategies trade data new york curious role flow toxicity liquidity provision liquidity providers liquidity crashes market liquidity rational expectations equilibrium decision making flash crash bitcoin users other people financialization

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Markets With Heterogeneous Agents: Dynamics and Survival of Bayesian vs. No-Regret Learners. (2025)

David EasleyYoav KolumbusEva Tardos

no-regret learnersmarket mechanismsheterogeneous agentsdecision sciencecomputational economicsgame theorymarket (economics)economic dynamicsimperfect information gamemarket designeconomicseconomic modellingeconomics and computationmarket equilibrium computationeconomic behaviorfinance

Microstructure and Market Dynamics in Crypto Markets. SSRN Electronic Journal (2024)

David EasleyMaureen O'HaraSongshan YangZhibai Zhang

market microstructure metricsfinancial economicsfinancial stabilitymarket dynamicscryptocurrencyfinancial cryptographymarket (economics)volatility estimationasset pricingmarket microstructureeconomicsfinancetrading model

Learning Financial Networks With High-Frequency Trade Data. Data Science in Science (2023)

Kara KarpmanSumanta BasuDavid EasleySanghee Kim

high-frequency trade dataforecastingfinance researchfinancial network analysishigh-frequency financial econometricsrealized volatilitymachine learning researchdata sciencefinancial networksfinancial time series analysisfinancestock market predictionmachine learning

STABLEFEES: A Predictable Fee Market for Cryptocurrencies. Management Science (2023)

Soumya BasuDavid EasleyMaureen O’HaraEmin Gün Sirer

stable equilibriamechanism designcryptocurrencyfinancial cryptographymarket (economics)uniform price auctionsblockchainbitcoin usersblockchain protocolsmarket designeconomicstheoretical economicsfinancecryptography

Financial Market Ethics. Review of Financial Studies (2022)

David EasleyMaureen O’Hara

experimental economicsethical behavioreconomics of networksethical theoryfinancial network analysisbehavioral game theoryethicsfinancial market ethicseconomicsbehavioral economicsfinancial networkscritical densitieseconomic behaviorfinance

Constructive Decision Theory. Journal of Economic Theory (2021)

Lawrence BlumeDavid EasleyJoseph Y. Halpern

human decision processbehavioral decision makingdecision scienceconstructive decision theorydecision theoryapproximate reasoningintelligent decision makingrationalitydecision analysiscognitive science

The Active World of Passive Investing. European Finance Review (2021)

David EasleyDavid MichaylukMaureen O’HaraTālis J Putniņš

active worldfinancial economicsactive portfoliosfinance researchfund managementfinancial studiesbusinessactive etfsfinancial analysisinvestment strategiesinvestment managementcapital marketsfinance

Data.Zip. Figshare (2020)

David EasleyEleonora PatacchiniChristopher Rojas

exit datesdata integrationlinked data visualizationstatistical softwaredata explorationformation datajoin datesdata modelingdata sciencescientific datastatistics

Information Flows and Systematic Risk. Review of Finance (2020)

David EasleyDavid MichaylukMaureen O'HaraVinay PatelTālis J. Putniņš

financial economicsfinancial stabilityfinance researchsystemic risksecurity marketsfinancial studiesinternational financial marketsnew informationasset pricingmarket microstructurefinancial analysisaccountingsystematic riskcapital marketsinformation flowsfinance

Microstructure in the Machine Age. Review of Financial Studies (2020)

David EasleyMarcos López de PradoMaureen O’HaraZhibai Zhang

financial economicspredictive analyticsfinance researchmachine ageasset pricingmarket microstructuremachine learning researcheconomicsdata scienceempirical financeeconomic analysisprediction marketsmicrostructure measuresfinancestock market predictionmachine learning

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David Easley

Professor

Cornell University

Affiliations

College of Arts and Sciences

Department of Economics

College of Computing and Information Science

Department of Information Science

David Easley is currently serving as a College Of Arts And Sciences Professor at Cornell University.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

David Easley

Cornell University

Professor

You can click a keyword to filter the displayed items

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Markets With Heterogeneous Agents: Dynamics and Survival of Bayesian vs. No-Regret Learners. (2025)

David EasleyYoav KolumbusEva Tardos

Microstructure and Market Dynamics in Crypto Markets. SSRN Electronic Journal (2024)

David EasleyMaureen O'HaraSongshan YangZhibai Zhang

Learning Financial Networks With High-Frequency Trade Data. Data Science in Science (2023)

Kara KarpmanSumanta BasuDavid EasleySanghee Kim

STABLEFEES: A Predictable Fee Market for Cryptocurrencies. Management Science (2023)

Soumya BasuDavid EasleyMaureen O’HaraEmin Gün Sirer

Financial Market Ethics. Review of Financial Studies (2022)

David EasleyMaureen O’Hara

Constructive Decision Theory. Journal of Economic Theory (2021)

Lawrence BlumeDavid EasleyJoseph Y. Halpern

The Active World of Passive Investing. European Finance Review (2021)

David EasleyDavid MichaylukMaureen O’HaraTālis J Putniņš

active worldfinancial economicsactive portfoliosfinance researchfund managementfinancial studiesbusinessactive etfsfinancial analysisinvestment strategiesinvestment managementcapital marketsfinance

Data.Zip. Figshare (2020)

David EasleyEleonora PatacchiniChristopher Rojas

exit datesdata integrationlinked data visualizationstatistical softwaredata explorationformation datajoin datesdata modelingdata sciencescientific datastatistics

Information Flows and Systematic Risk. Review of Finance (2020)

David EasleyDavid MichaylukMaureen O'HaraVinay PatelTālis J. Putniņš

Microstructure in the Machine Age. Review of Financial Studies (2020)

David EasleyMarcos López de PradoMaureen O’HaraZhibai Zhang

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