来源:财务与金融
主 题:(重)图像化价格趋势
主讲人: 修大成(计量经济学与统计学教授,芝加哥大学布斯商学院)
协调人: 李晨煦
时 间:2021-12-03 10:00
地 点:Zoom会议室
语 言:中英文
地点: Zoom会议室 https://zoom.us/j/89292446027?pwd=RU1HUHh2WGZtUGlOaUpTTU40NGFnQT09
会议 ID:892 9244 6027
密码:1203
讲座摘要:
We reconsider the idea of trend-based predictability using methods that flexibly learn price patterns that are most predictive of future returns, rather than testing hypothesized or pre-specified patterns (e.g., momentum and reversal). Our raw predictor data are images -- stock-level price charts -- from which we elicit the price patterns that best predict returns using machine learning image analysis methods. The predictive patterns we identify are largely distinct from trend signals commonly analyzed in the literature, give more accurate return predictions, translate into more profitable investment strategies, and are robust to a battery of specification variations. They also appear context-independent: Predictive patterns estimated at short time scales (e.g., daily data) give similarly strong predictions when applied at longer time scales (e.g., monthly), and patterns learned from US stocks predict equally well in international markets.
主讲人简介:
Dacheng Xiu’s research interests include developing statistical methodologies and applying them to financial data, while exploring their economic implications. His earlier research involved risk measurement and portfolio management with high-frequency data and econometric modeling of derivatives. His current work focuses on developing machine learning solutions to big-data problems in empirical asset pricing.
Xiu’s work has appeared in Econometrica, Journal of Political Economy, Journal of Finance, Review of Financial Studies, Journal of the American Statistical Association, and Annals of Statistics. He is a Co-Editor for the Journal of Financial Econometrics, an Associate Editor for the Review of Financial Studies, Management Science, Journal of Econometrics, Journal of Business & Economic Statistics, Journal of Applied Econometrics, the Econometrics Journal, and Journal of Empirical Finance. He has received several recognitions for his research, including Fellow of the Society for Financial Econometrics, Fellow of the Journal of Econometrics, Swiss Finance Institute Outstanding Paper Award, AQR Insight Award, and Best Conference Paper Prize from the European Finance Association. In 2017, Xiu launched a website that provides up-to-date realized volatilities of individual stocks, as well as equity, currency, and commodity futures. These daily volatilities are calculated from intraday transactions and the methodologies are based on his research of high-frequency data.
Xiu earned his PhD and MA in applied mathematics from Princeton University, where he was also a student at the Bendheim Center for Finance. Prior to his graduate studies, he obtained a BS in mathematics from the University of Science and Technology of China.
人大商学院新闻网版权与免责声明:
① 凡本网未注明其他出处的作品,版权均属于人大商学院,未经本网授权不得转载、摘编或利用其它方式使用上述作品。已经本网授权使用作品的,应在授权范围内使用,并注明“来源:人大商学院”。违反上述声明者,本网将追究其相关责任。
② 凡本网注明其他来源的作品,均转载自其它媒体,转载目的在于传递更多信息,并不代表本网对其负责。
③ 有关作品内容、版权和其它问题请与本网联系。
※ 联系方式:中国人民大学商学院宣传信息事务办公室 邮箱:media@rmbs.ruc.edu.cn