Anomaly Identification and Premium Mining: Evidence from Chinese Urban Construction Investment Bonds

IF 2.5 Q2 ECONOMICS
Ping Li, Jiahong Li, Dong Wang
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引用次数: 0

Abstract

This paper identifies the presence of anomalies in Chinese urban construction investment bonds (UCIBs) market using variable ranking portfolio analysis and finds that liquidity anomalies, downside risk anomalies, and historical return anomalies significantly exist. By conducting Fama–MacBeth regressions on the cross-sectional returns of UCIBs and anomalies, we find that only the 6-month momentum in the historical return anomaly can generate statistically significant risk premium which cannot be explained by long-established bond pricing factors, and thus it’s an anomaly for UCIBs. This paper also finds that portfolios constructed based on significant anomalies in the UCIBs market can generate more profits than other models through the out-of-sample cross-sectional return forecasting.

异常识别与溢价挖掘:中国城市建设投资债券的证据
本文利用变量排序组合分析法识别了中国城市建设投资债券(UCIBs)市场存在的异常现象,发现流动性异常现象、下行风险异常现象和历史收益异常现象显著存在。通过对 UCIBs 的横截面收益率和异常值进行 Fama-MacBeth 回归,我们发现历史收益率异常值中只有 6 个月的动量能够产生统计意义上的显著风险溢价,而这种溢价无法用长期形成的债券定价因素来解释,因此它是 UCIBs 的异常值。本文还发现,通过样本外截面回报预测,基于 UCIBs 市场的显著异常情况构建的投资组合比其他模型能产生更多利润。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
3.00
自引率
0.00%
发文量
34
期刊介绍: The current remarkable growth in the Asia-Pacific financial markets is certain to continue. These markets are expected to play a further important role in the world capital markets for investment and risk management. In accordance with this development, Asia-Pacific Financial Markets (formerly Financial Engineering and the Japanese Markets), the official journal of the Japanese Association of Financial Econometrics and Engineering (JAFEE), is expected to provide an international forum for researchers and practitioners in academia, industry, and government, who engage in empirical and/or theoretical research into the financial markets. We invite submission of quality papers on all aspects of finance and financial engineering. Here we interpret the term ''financial engineering'' broadly enough to cover such topics as financial time series, portfolio analysis, global asset allocation, trading strategy for investment, optimization methods, macro monetary economic analysis and pricing models for various financial assets including derivatives We stress that purely theoretical papers, as well as empirical studies that use Asia-Pacific market data, are welcome. Officially cited as: Asia-Pac Financ Markets
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