Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Asaf Manela"'
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1b826f445b7afbcc86f90d419b6a67aa
https://doi.org/10.2139/ssrn.4343095
https://doi.org/10.2139/ssrn.4343095
Publikováno v:
Review of Finance. 25:1499-1545
Regulators often delegate monitoring to local supervisors, which can improve information collection, but can also lead to agency problems and capture. We document that following the closure of a US bank regulator’s field offices, the banks they pre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2901c60cf5450036113cffb1b99a75b1
https://doi.org/10.1093/rof/rfab019
https://doi.org/10.1093/rof/rfab019
Publikováno v:
Journal of Financial and Quantitative Analysis. 56:2584-2604
We use a text-based measure of popular sentiment toward finance to study how finance sentiment responds to rare historical disasters and to the ongoing Covid-19 pandemic. Finance sentiment declines after epidemics and earthquakes but rises following
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::88b58f448e1dbeca2f7aa584874c833d
https://doi.org/10.1017/s0022109021000466
https://doi.org/10.1017/s0022109021000466
We propose an approach to measuring the state of the economy via textual analysis of business news. From the full text of 800,000 Wall Street Journal articles for 1984–2017, we estimate a topic model that summarizes business news into interpretable
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8c6a60d1dd72990e86f9f6b7075f81fd
https://doi.org/10.3386/w29344
https://doi.org/10.3386/w29344
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::305ac84222cfc38ff61dfc77041cc1aa
https://doi.org/10.2139/ssrn.3940030
https://doi.org/10.2139/ssrn.3940030
We propose an approach to measuring the state of the economy via textual analysis of business news. From the full text content of 800,000 Wall Street Journal articles for 1984{2017, we estimate a topic model that summarizes business news as easily in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4e0cb3b37629979408f856d5671d39f0
https://doi.org/10.3386/w26648
https://doi.org/10.3386/w26648
Autor:
Asaf Manela, Ohad Kadan
Publikováno v:
SSRN Electronic Journal.
We offer a simple, intuitive and empirically useful expression quantifying the value of asset-specific information to a strategic trader. The value of information reflects the ratio of return volatility to price impact measured using a version of Kyl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e96b2f859fb1ef127d0f5de750175273
https://doi.org/10.2139/ssrn.3645137
https://doi.org/10.2139/ssrn.3645137
Publikováno v:
SSRN Electronic Journal.
We measure popular sentiment toward finance using a computational linguistics approach applied to millions of books published in eight countries over hundreds of years. We document persistent differences in finance sentiment across countries despite
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::edcd290dfabc7b0c8dc7dd1084447bfb
https://doi.org/10.2139/ssrn.3655263
https://doi.org/10.2139/ssrn.3655263
Publikováno v:
Journal of Financial Economics. 126:1-35
We find that shocks to the equity capital ratio of financial intermediaries—Primary Dealer counterparties of the New York Federal Reserve—possess significant explanatory power for cross-sectional variation in expected returns. This is true not on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::527cc696d73158b8b5592f9c64721f19
https://doi.org/10.1016/j.jfineco.2017.08.002
https://doi.org/10.1016/j.jfineco.2017.08.002
Autor:
Asaf Manela, Alan Moreira
Publikováno v:
Journal of Financial Economics. 123:137-162
We construct a text-based measure of uncertainty starting in 1890 using front-page articles of the Wall Street Journal. News implied volatility (NVIX) peaks during stock market crashes, times of policy-related uncertainty, world wars and financial cr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::347ee76807421eb5db37d15b8fcb731b
https://doi.org/10.1016/j.jfineco.2016.01.032
https://doi.org/10.1016/j.jfineco.2016.01.032