XBRL adoption and expected crash risk
Tài liệu tham khảo
Alles, 2012, The evolution and future of XBRL research, Int. J. Account. Inf. Syst., 13, 83, 10.1016/j.accinf.2012.03.006
Arnold, 2012, The impact of tagging qualitative financial information on investor decision making: Implications for XBRL, Int. J. Account. Inf. Syst., 13, 2, 10.1016/j.accinf.2011.12.002
Bates, 2000, Post-’87 crash fears in the S&P 500 futures option market, J. Econom., 94, 181, 10.1016/S0304-4076(99)00021-4
Bertrand, 2003, Enjoying the quiet life? Corporate governance and managerial preferences, J. Polit. Econ., 111, 1043, 10.1086/376950
Bhattacharya, 2018, Leveling the playing field between large and small institutions: Evidence from the SEC’s XBRL mandate, Account Rev., 93, 51, 10.2308/accr-52000
Black, 1973, The pricing of options and corporate liabilities, J. Polit. Econ., 81, 637, 10.1086/260062
Blanchard, 2009, (Nearly) nothing to fear but fear itself, Econ.
Bollen, 2004, Does net buying pressure affect the shape of implied volatility functions?, J. Finance, 59, 711, 10.1111/j.1540-6261.2004.00647.x
Bollerslev, 2011, Tails, fears, and risk premia, J. Finance, 66, 2165, 10.1111/j.1540-6261.2011.01695.x
Chen, 2001, Forecasting crashes: Trading volume, past returns, and conditional skewness in stock prices, J. Financ. Econ., 61, 345, 10.1016/S0304-405X(01)00066-6
Conrad, 2013, Ex ante skewness and expected stock returns, J. Finance, 68, 85, 10.1111/j.1540-6261.2012.01795.x
Cox, C.C., 2008. Opening statement -- Open meeting on the use of technology to improve financial reporting [WWW Document]. URL https://www.sec.gov/news/speech/2008/spch051408cc.htm (accessed 05.14.08).
De Franco, 2011, The benefits of financial statement comparability, J. Account. Res., 49, 895, 10.1111/j.1475-679X.2011.00415.x
Debreceny, 2011, Flex or break? Extensions in XBRL disclosures to the SEC, Account. Horizons, 25, 631, 10.2308/acch-50068
Debreceny, 2010, Does it add up? Early evidence on the data quality of XBRL filings to the SEC, J. Account. Public Policy, 29, 296, 10.1016/j.jaccpubpol.2010.04.001
Debreceny, 2009
Dennis, 2002, Risk-neutral skewness: Evidence from stock options, J. Financ. Quant. Anal., 37, 471, 10.2307/3594989
Dong, 2016, Does information-processing cost affect firm-specific information acquisition? Evidence from XBRL adoption, J. Financ. Quant. Anal., 51, 435, 10.1017/S0022109016000235
Draper, 2014
Duan, 2009, Systematic risk and the price structure of individual equity options, Rev. Financ. Stud., 22, 1981, 10.1093/rfs/hhn057
Dumas, 1998, Implied volatility functions: Empirical tests, J. Finance, 53, 2059, 10.1111/0022-1082.00083
Easley, 1998, Option volume and stock prices: Evidence on where informed traders trade, J. Finance, 53, 431, 10.1111/0022-1082.194060
Henselmann, 2015, Irregularities in accounting numbers and earnings management – A novel approach based on SEC XBRL filings, J. Emerg. Technol. Account., 12, 117, 10.2308/jeta-51247
Hodge, 2004, Does search-facilitating technology of transparency improve financial reporting?, Account. Rev., 79, 687, 10.2308/accr.2004.79.3.687
Hutton, 2009, Opaque financial reports, R2, and crash risk, J. Financ. Econ., 94, 67, 10.1016/j.jfineco.2008.10.003
Jin, 2006, R2 around the world: New theory and new tests, J. Financ. Econ., 79, 257, 10.1016/j.jfineco.2004.11.003
Jones, A., 2013. SEC to roll out ‘RoboCop’ against fraud [WWW Document]. URL <https://www.ft.com/content/f446a8bc-75c9-11e2-9891-00144feabdc0> (accessed 2.14.13).
Kim, 2018, Readability of 10-K reports and stock price crash risk, Contemp. Account. Res., 10.1111/1911-3846.12452
Kim, 2011, CFOs versus CEOs: Equity incentives and crashes, J. Financ. Econ., 101, 713, 10.1016/j.jfineco.2011.03.013
Kim, 2016, Accounting conservatism and stock price crash risk: Firm-level evidence, Contemp. Account. Res., 33, 412, 10.1111/1911-3846.12112
Kim, 2014, Financial reporting opacity and expected crash risk: Evidence from implied volatility smirks, Contemp. Account. Res., 31, 851, 10.1111/1911-3846.12048
Kothari, 2009, Do managers withhold bad news?, J. Account. Res., 47, 241, 10.1111/j.1475-679X.2008.00318.x
Lang, 2003, ADRs, analysts, and accuracy: Does cross listing in the U.S. improve a firm’s information environment and increase market value?, J. Account. Res., 41, 317, 10.1111/1475-679X.00106
Liu, 2014, XBRL’s impact on analyst forecast behavior: An empirical study, J. Account. Public Policy, 33, 69, 10.1016/j.jaccpubpol.2013.10.004
Novack, J., 2013. How SEC’s new RoboCop profiles companies for accounting fraud [WWW Document]. URL <https://www.forbes.com/sites/mitsubishiheavyindustries/2018/07/13/investment-attitudes-are-changing-to-create-a-more-sustainable-world/#732cfda58504> (accessed 8.9.13).
Petersen, 2009, Estimating standard errors in finance panel data sets: Comparing approaches, Rev. Financ. Stud., 22, 435, 10.1093/rfs/hhn053
Pinsker, 2016, Professional role and normative pressure: The case of voluntary XBRL adoption in Germany, J. Emerg. Technol. Account., 13, 95, 10.2308/jeta-51367
Pinsker, 2009, Nonprofessional investors’ perceptions of the efficiency and effectiveness of XBRL-enabled financial statement analysis and of firms providing XBRL-formatted information, Int. J. Discl. Gov., 6, 241, 10.1057/jdg.2009.6
Santa-Clara, 2010, Crashes, volatility, and the equity premium: Lessons from S&P 500 options, Rev. Econ. Stat., 92, 435, 10.1162/rest.2010.11549
Securities and Exchange Commission (SEC), 2010. Filer manual–Volume II EDGAR filing [WWW Document]. URL <https://www.sec.gov/info/edgar/edgarfm-vol2-v47.pdf>.
Securities and Exchange Commission (SEC), 2009. Interactive data to improve financial reporting [WWW Document]. URL <http://www.sec.gov/rules/final/2009/33-9002.pdf>.
Sellberg, M., 2011. Overcoming the challenge of too many XBRL extensions [WWW Document]. URL <https://www.workiva.com/blog/overcoming-challenge-too-many-xbrl-extensions> (accessed 3.7.11).
Van Buskirk, 2012, Discussion of option prices leading equity prices: Do option traders have an information advantage?, J. Account. Res., 50, 433, 10.1111/j.1475-679X.2012.00445.x
Waymire, 1985, Earnings volatility and voluntary management forecast disclosure, J. Account. Res., 23, 268, 10.2307/2490919
XBRL U.S., 2018a. Financial and SEC reporting taxonomies [WWW Document]. URL <https://xbrl.us/xbrl-taxonomy/2018-us-gaap/>.
XBRL U.S., 2009b. XBRL for filers: Implementing XBRL for reporting [WWW Document]. URL <http://xbrl.us/events/Pages/archive.aspx>.
Xing, 2010, What does the individual option volatility smirk tell us about future equity returns?, J. Financ. Quant. Anal., 45, 641, 10.1017/S0022109010000220
Yan, 2011, Jump risk, stock returns, and slope of implied volatility smile, J. Financ. Econ., 99, 216, 10.1016/j.jfineco.2010.08.011