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Essays in Finance, Technology, and Behavior
Essays in Finance, Technology, and Behavior
상세정보
- 자료유형
- 학위논문 서양
- 최종처리일시
- 20260202103551
- ISBN
- 9798280714403
- DDC
- 371
- 서명/저자
- Essays in Finance, Technology, and Behavior
- 발행사항
- [Sl] : Harvard University, 2025
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2025
- 형태사항
- 144 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 86-12, Section: B.
- 주기사항
- Advisor: Shleifer, Andrei;Mullainathan, Sendhil.
- 학위논문주기
- Thesis (Ph.D.)--Harvard University, 2025.
- 초록/해제
- 요약This dissertation consists of three essays that study how patterns in human behavior inform models of finance and technology. The first essay develops methods to measure economic representations from language, and uses these representations to study how the market values firms. It finds that firms can be misvalued when they are misperceived, including during waves of investor attention to new technologies. The second essay, co-authored with Keyon Vafa, builds a framework to evaluate lookahead bias in pretrained language models, and finds evidence of the bias in applications to finance and political economy. It describes how to prevent lookahead bias by using time-indexed language models in forecasting analyses. The third essay, co-authored with Johnny Tang, analyzes how partisanship relates to economic beliefs, and finds partisan differences in optimism, attention to economic topics, and interpretation of economic shocks. It discusses how these differences in stated beliefs can help to interpret partisan differences in economic decisions.
- 일반주제명
- Behavioral psychology
- 일반주제명
- Finance
- 키워드
- Human behavior
- 키워드
- Economic beliefs
- 키워드
- Technology
- 기타저자
- Harvard University Economics
- 기본자료저록
- Dissertations Abstracts International. 86-12B.
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
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■006m o d
■007cr#unu||||||||
■020 ▼a9798280714403
■035 ▼a(MiAaPQ)AAI32041841
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a371
■1001 ▼aSarkar, Suproteem K.▼0(orcid)0009-0000-3023-9424
■24510▼aEssays in Finance, Technology, and Behavior
■260 ▼a[Sl]▼bHarvard University▼c2025
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2025
■300 ▼a144 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 86-12, Section: B.
■500 ▼aAdvisor: Shleifer, Andrei;Mullainathan, Sendhil.
■5021 ▼aThesis (Ph.D.)--Harvard University, 2025.
■520 ▼aThis dissertation consists of three essays that study how patterns in human behavior inform models of finance and technology. The first essay develops methods to measure economic representations from language, and uses these representations to study how the market values firms. It finds that firms can be misvalued when they are misperceived, including during waves of investor attention to new technologies. The second essay, co-authored with Keyon Vafa, builds a framework to evaluate lookahead bias in pretrained language models, and finds evidence of the bias in applications to finance and political economy. It describes how to prevent lookahead bias by using time-indexed language models in forecasting analyses. The third essay, co-authored with Johnny Tang, analyzes how partisanship relates to economic beliefs, and finds partisan differences in optimism, attention to economic topics, and interpretation of economic shocks. It discusses how these differences in stated beliefs can help to interpret partisan differences in economic decisions.
■590 ▼aSchool code: 0084.
■650 4▼aBehavioral psychology
■650 4▼aFinance
■653 ▼aHuman behavior
■653 ▼aEconomic beliefs
■653 ▼aTechnology
■653 ▼aMarket values firms
■653 ▼aPolitical economy
■690 ▼a0501
■690 ▼a0511
■690 ▼a0508
■690 ▼a0384
■71020▼aHarvard University▼bEconomics.
■7730 ▼tDissertations Abstracts International▼g86-12B.
■790 ▼a0084
■791 ▼aPh.D.
■792 ▼a2025
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17357722▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
