Wealth Redistribution in Bubbles and Crashes. An, L., Lou, D., & Shi, D. Journal of Monetary Economics, 126:134–153, March, 2022.
Link doi abstract bibtex What are the social-economic consequences of financial market bubbles and crashes? Using novel comprehensive administrative data from China, we document a substantial increase in inequality of wealth held in equity by Chinese households in the 2014–15 bubble-crash episode: the largest 0.5% households in the equity market gain, while the bottom 85% lose, 250B RMB through active trading in this period, or 30% of either group's initial equity wealth. In comparison, the return differential between the top and bottom household groups in 2012–14, a period of a relatively calm market, is on the order of 1 to 3%. We examine several possible explanations for these findings and discuss their broader implications.
@article{Anetal2022,
title = {Wealth Redistribution in Bubbles and Crashes},
author = {An, Li and Lou, Dong and Shi, Donghui},
year = {2022},
month = mar,
journal = {Journal of Monetary Economics},
volume = {126},
pages = {134--153},
doi = {10.1016/j.jmoneco.2022.01.001},
url = {https://doi.org/10.1016/j.jmoneco.2022.01.001},
abstract = {What are the social-economic consequences of financial market bubbles and crashes? Using novel comprehensive administrative data from China, we document a substantial increase in inequality of wealth held in equity by Chinese households in the 2014--15 bubble-crash episode: the largest 0.5\% households in the equity market gain, while the bottom 85\% lose, 250B RMB through active trading in this period, or 30\% of either group's initial equity wealth. In comparison, the return differential between the top and bottom household groups in 2012--14, a period of a relatively calm market, is on the order of 1 to 3\%. We examine several possible explanations for these findings and discuss their broader implications.},
keywords = {Determinants of Wealth and Wealth Inequality,Trends in Aggregate Wealth and Wealth Inequality}
}
Downloads: 0
{"_id":"C6xR6LzjZAgzZP5eX","bibbaseid":"an-lou-shi-wealthredistributioninbubblesandcrashes-2022","author_short":["An, L.","Lou, D.","Shi, D."],"bibdata":{"bibtype":"article","type":"article","title":"Wealth Redistribution in Bubbles and Crashes","author":[{"propositions":[],"lastnames":["An"],"firstnames":["Li"],"suffixes":[]},{"propositions":[],"lastnames":["Lou"],"firstnames":["Dong"],"suffixes":[]},{"propositions":[],"lastnames":["Shi"],"firstnames":["Donghui"],"suffixes":[]}],"year":"2022","month":"March","journal":"Journal of Monetary Economics","volume":"126","pages":"134–153","doi":"10.1016/j.jmoneco.2022.01.001","url":"https://doi.org/10.1016/j.jmoneco.2022.01.001","abstract":"What are the social-economic consequences of financial market bubbles and crashes? Using novel comprehensive administrative data from China, we document a substantial increase in inequality of wealth held in equity by Chinese households in the 2014–15 bubble-crash episode: the largest 0.5% households in the equity market gain, while the bottom 85% lose, 250B RMB through active trading in this period, or 30% of either group's initial equity wealth. In comparison, the return differential between the top and bottom household groups in 2012–14, a period of a relatively calm market, is on the order of 1 to 3%. We examine several possible explanations for these findings and discuss their broader implications.","keywords":"Determinants of Wealth and Wealth Inequality,Trends in Aggregate Wealth and Wealth Inequality","bibtex":"@article{Anetal2022,\n title = {Wealth Redistribution in Bubbles and Crashes},\n author = {An, Li and Lou, Dong and Shi, Donghui},\n year = {2022},\n month = mar,\n journal = {Journal of Monetary Economics},\n volume = {126},\n pages = {134--153},\n doi = {10.1016/j.jmoneco.2022.01.001},\n url = {https://doi.org/10.1016/j.jmoneco.2022.01.001},\n abstract = {What are the social-economic consequences of financial market bubbles and crashes? Using novel comprehensive administrative data from China, we document a substantial increase in inequality of wealth held in equity by Chinese households in the 2014--15 bubble-crash episode: the largest 0.5\\% households in the equity market gain, while the bottom 85\\% lose, 250B RMB through active trading in this period, or 30\\% of either group's initial equity wealth. In comparison, the return differential between the top and bottom household groups in 2012--14, a period of a relatively calm market, is on the order of 1 to 3\\%. We examine several possible explanations for these findings and discuss their broader implications.},\n keywords = {Determinants of Wealth and Wealth Inequality,Trends in Aggregate Wealth and Wealth Inequality}\n}\n\n","author_short":["An, L.","Lou, D.","Shi, D."],"key":"Anetal2022","id":"Anetal2022","bibbaseid":"an-lou-shi-wealthredistributioninbubblesandcrashes-2022","role":"author","urls":{"link":"https://doi.org/10.1016/j.jmoneco.2022.01.001"},"keyword":["Determinants of Wealth and Wealth Inequality","Trends in Aggregate Wealth and Wealth Inequality"],"metadata":{"authorlinks":{}}},"bibtype":"article","biburl":"https://bibbase.org/f/nKAPSyp34A9azBzJd/GCWealthProject_WealthResearchLibrary.bib","dataSources":["hHZFQp7q53h3BYKe8"],"keywords":["determinants of wealth and wealth inequality","trends in aggregate wealth and wealth inequality"],"search_terms":["wealth","redistribution","bubbles","crashes","an","lou","shi"],"title":"Wealth Redistribution in Bubbles and Crashes","year":2022}