Asymmetric or Incomplete Information about Asset Values?

Review of Financial Studies - Tập 33 Số 7 - Trang 2898-2936 - 2020
Crocker H. Liu1, Adam Nowak2, Patrick S. Smith3
1(Cornell University
2WEST VIRGINIA UNIVERSITY
3San Diego State University

Tóm tắt

AbstractWe provide a new framework for using text as data in empirical models. The framework identifies salient information in unstructured text that can control for multidimensional heterogeneity among assets. We demonstrate the efficacy of the framework by reexamining principal-agent problems in residential real estate markets. We show that the agent-owned premiums reported in the extant literature dissipate when the salient textual information is included. The results suggest the previously reported agent-owned premiums suffer from an omitted variable bias, which prior studies incorrectly ascribed to market distortions associated with asymmetric information. (JEL D82, G14, R00)Authors have furnished an Internet Appendix, which is available on the Oxford University Press Web site next to the link to the final published paper online.

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Tài liệu tham khảo

Agarwal,, 2011, The role of securitization in mortgage renegotiation., Journal of Financial Economics, 102, 559, 10.1016/j.jfineco.2011.07.005

Belloni,, 2012, Sparse models and methods for optimal instruments with an application to eminent domain., Econometrica, 80, 2369, 10.3982/ECTA9626

Belloni,, 2013, Least squares after model selection in high-dimensional sparse models., Bernoulli, 19, 521, 10.3150/11-BEJ410

Belloni,, 2014, Inference on treatment effects after selection among high-dimensional controls., Review of Economic Studies, 81, 608, 10.1093/restud/rdt044

Bodnaruk,, 2015, Using 10-k text to gauge financial constraints., Journal of Financial and Quantitative Analysis, 50, 623, 10.1017/S0022109015000411

Buehlmaier,, 2018, Are financial constraints priced? Evidence from textual analysis, Review of Financial Studies, 31, 2693, 10.1093/rfs/hhy007

Campbell,, 2011, Forced sales and house prices., American Economic Review, 101, 2108, 10.1257/aer.101.5.2108

Figlio,, 2004, What’s in a grade? school report cards and the housing market., American Economic Review, 94, 591, 10.1257/0002828041464489

Garmaise,, 2003, Confronting information asymmetries: Evidence from real estate markets., Review of Financial Studies, 17, 405, 10.1093/rfs/hhg037

Gentzkow,, 2017, Text as data, 10.3386/w23276

Goetzmann,, 1993, Accounting for taste: Art and the financial markets over three centuries., American Economic Review, 83, 1370

Goodwin,, 2014, The impact of broker vernacular in residential real estate., Journal of Housing Research, 23, 143, 10.1080/10835547.2014.12092089

Hastie,, 2015, Statistical learning with sparsity: the lasso and generalizations, 10.1201/b18401

Hoberg,, 2014, Redefining financial constraints: A text-based analysis., Review of Financial Studies, 28, 1312, 10.1093/rfs/hhu089

Jegadeesh,, 2013, Word power: A new approach for content analysis., Journal of Financial Economics, 110, 712, 10.1016/j.jfineco.2013.08.018

Kelly,, 2012, Testing asymmetric-information asset pricing models., Review of Financial Studies, 25, 1366, 10.1093/rfs/hhr134

King,, 2017, Computer-assisted keyword and document set discovery from unstructured text., American Journal of Political Science, 61, 971, 10.1111/ajps.12291

Korteweg,, 2015, Does it pay to invest in art? A selection-corrected returns perspective., Review of Financial Studies, 29, 1007, 10.1093/rfs/hhv062

Kurlat,, 2015, Testing for information asymmetries in real estate markets., Review of Financial Studies, 28, 2429, 10.1093/rfs/hhv028

Levitt,, 2008, Market distortions when agents are better informed: The value of information in real estate transactions., Review of Economics and Statistics, 90, 599, 10.1162/rest.90.4.599

Loughran,, 2011, When is a liability not a liability? Textual analysis, dictionaries, and 10-Ks., Journal of Finance, 66, 35, 10.1111/j.1540-6261.2010.01625.x

Loughran,, 2016, Textual analysis in accounting and finance: A survey., Journal of Accounting Research, 54, 1187, 10.1111/1475-679X.12123

Mayer,, 1998, Assessing the performance of real estate auctions., Real Estate Economics, 26, 41, 10.1111/1540-6229.00737

Mullainathan,, 2017, Machine learning: An applied econometric approach., Journal of Economic Perspectives, 31, 87, 10.1257/jep.31.2.87

Nowak,, 2017, Textual analysis in real estate., Journal of Applied Econometrics, 32, 896, 10.1002/jae.2550

Ries,, 2010, School quality and residential property values: Evidence from Vancouver rezoning., Review of Economics and Statistics, 92, 928, 10.1162/REST_a_00038

Rutherford,, 2005, Conflicts between principals and agents: Evidence from residential brokerage., Journal of Financial Economics, 76, 627, 10.1016/j.jfineco.2004.06.006

Stroebel,, 2016, Asymmetric information about collateral values., Journal of Finance, 71, 1071, 10.1111/jofi.12288

Taddy,, 2013, Multinomial inverse regression for text analysis., Journal of the American Statistical Association, 108, 755, 10.1080/01621459.2012.734168

Tetlock,, 2007, Giving content to investor sentiment: The role of media in the stock market., Journal of Finance, 62, 1139, 10.1111/j.1540-6261.2007.01232.x

Tibshirani,, 1996, Regression shrinkage and selection via the lasso., Journal of the Royal Statistical Society: Series B (Methodological), 58, 267, 10.1111/j.2517-6161.1996.tb02080.x

Turnbull,, 2011, Why do vacant houses sell for less: holding costs, bargaining power or stigma?, Real Estate Economics, 39, 19, 10.1111/j.1540-6229.2010.00285.x

Wang,, 1991, The impact of rental properties on the value of single-family residences., Journal of Urban Economics, 30, 152, 10.1016/0094-1190(91)90033-4

Young,, 2012, Property condition., Southern Nevada Realtor Magazine

Zou,, 2005, Regularization and variable selection via the elastic net., Journal of the Royal Statistical Society: Series B, 67, 301, 10.1111/j.1467-9868.2005.00503.x