Research on the Reversal Effect of Growth Stocks

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Description
This study delves into the reversal effects in the U.S. stock market using American stock data listed on the New York Stock Exchange, American Stock Exchange, and NASDAQ from 1970 to 2022. The aim is to answer two key questions:

This study delves into the reversal effects in the U.S. stock market using American stock data listed on the New York Stock Exchange, American Stock Exchange, and NASDAQ from 1970 to 2022. The aim is to answer two key questions: What characteristics make certain groups of stocks exhibit stronger reversal effects? And what market conditions contribute to stronger reversal effects?To begin with, the paper examines whether growth stocks exhibit stronger reversal effects compared to value stocks from the perspective of growth stocks. The study uses the price-to-earnings ratio (P/E ratio) to measure stock growth, with high P/E ratio stocks classified as growth stocks and low P/E ratio stocks classified as value stocks. The findings reveal: 1) The reversal effects of growth stocks are significantly stronger than those of value stocks; 2) After a substantial market decline in the previous year, the reversal effects of stocks are significantly stronger; 3) Across different market environments, the reversal effects of growth stocks are consistently stronger than those of value stocks, and growth stocks exhibit the most pronounced reversal effects in markets following significant declines. Furthermore, the paper explains why the reversal effects of growth stocks are stronger from three perspectives: market risk exposure, interest rate sensitivity, and profit volatility. The study discovers that the market BETA, duration, interest rate sensitivity, earnings per share volatility, and positive correlation with the Purchasing Managers' Index (PMI) for growth stocks are all significantly higher than those for value stocks. This helps explain why, during stock market rallies/interest rate declines/economic expansions, the rebound strength of growth stocks' prices/profits is higher than that of value stocks, leading to stronger reversal effects. Finally, the study finds that the phenomenon of "stronger reversal effects in growth stocks" also holds true in the A-share market, which serves as an emerging market.
Date Created
2024
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An Empirical Study on the Influencing Factors of Value-Growth Stock Style Rotation on the A-share Market

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Description
Based on the common phenomenon of style rotation in domestic and foreign stock markets, this paper aims to study and answer which factors jointly drive style rotation and whether style rotation is predictable. Based on the dividend discount model, this

Based on the common phenomenon of style rotation in domestic and foreign stock markets, this paper aims to study and answer which factors jointly drive style rotation and whether style rotation is predictable. Based on the dividend discount model, this paper selects variables that may explain style rotation from the three dimensions of capital cost, risk premium and performance growth. At the same time, this paper innovatively introduces the capital flow variables of institutional investors and northward funds to help explain and predict style rotation from the perspective of "smart money".First, based on the A-share market, this study uses the daily frequency value factor yield data from January 1, 2015 to December 31, 2020 to carry out temporal regression of the variables that may affect the value factor yield. It is found that the macroeconomic leading indicator and Wind A dynamic dividend yield can significantly affect the yield of value factor, and the impact is positive, that is, the rise of the macroeconomic leading indicator and the rise of the dynamic dividend yield of A shares both lead to the rise of value factor yield. In addition, based on daily frequency, this paper also found that value factor yield and northbound capital scale is significantly negatively correlated, but this relationship does not exist on monthly frequency. Secondly, this study further uses the daily frequency value factor yield data from January 1, 2015 to December 31, 2020 to carry out temporal regression of each explanatory variable of the previous day, trying to study whether these variables can predict the value factor yield. It is found that the leading macroeconomic indicator and Wind All-A dynamic dividend yield can positively predict the yield of value factor. Specifically, if the leading macroeconomic indicator rises in the previous trading day or the Wind A dynamic dividend yield rises in the previous day, on average, the value factor yield will rise in the next trading day. This finding is consistent with the results of synchronous temporal regression in the previous section. In addition, this paper does not find that the size of northbound funds can significantly predict the return rate of the value factor. Finally, this study uses variables that have significant predictive effect on the value factor rate of return to build a model. Based on this model, the out-of-sample value factor rate of return is predicted, so as to timing the value factor. The results show that the rate of return of value factor investment strategy based on model timing is twice as high as that of long-term holding value factor.
Date Created
2024
Agent

市场参与者机构化视角下的上市公司AH股价格差异的实证研究

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Description
同一间中国上市公司的具有相同权利的普通股在中国内地A股市场和香港市场的交易价格会长期有持续的交易价差。本文试图在大陆和香港资本市场通过建立各种交易联通的机制的背景下,结合中国资本市场机构投资者参与程度提高的事实,通过机构投资者收益归因的12个因子分析来解释为何AH股产生不同价格的奇异现象。相较过往的学术文献,本文优化了研究对象和时间窗口,并且引入了事件分析和针对机构投资者的网上问卷调查。 笔者通过问卷调查,多元回归分析以及事件分析等不同研究,发现流动性仍然是机构投资者最为关注的决定AH股价差的因素。这一发现似乎与机构投资者的坚持长期持股的传统印象并不吻合,但近年随着指数投资,交易所上市基金(ETF)等对于底层资产流动性要求越发提高的投资产品越来越流行,机构投资者关注流动性,把交易流动性作为投资组合风险管理甚至选股的数量化因子也非常常见。但令人欣慰的是,上市公司本身的经营基本面情况,比如股权回报比率,公司的增长率都对于AH股的价差有显著影响,另外笔者列入多元回归分析的上市公司的公司治理因素,除了股息派发率以外,对于AH股的价差也有显著影响。本文的发现也进一步解释了另一个奇异现象:虽然H股长久以来对于对应的A股都是折价交易,但是在任何时段总有某些上市公司的AH股价差小于整体AH股价差,个别公司甚至会发生H股对于A股有所溢价这样的情况。
Date Created
2023
Agent

构建以ETF为底层资产的行业轮动策略研究

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股票市场行业轮动现象比较明显,但轮动的机理变幻莫测。股票多头策略类的基金经理始终思考着如何构建投资组合以获得绝对收益与超额收益,必须面对与解决诸多具体问题与困惑,比如,择股与择时之惑,精选个股主动管理与跟随行业指数而被动投资之惑,趋势投资与逆向投资之惑,认知能力有限与市场机会无限之惑等问题。 面对这些现象与问题,本文研究的目的就是开发出一种有效的、以ETF为底层投资标的的基金产品投资策略,捕捉市场的行业轮动机会,并将这种策略运用于投资实践之中,促进业务的发展,这也是本文研究的实际意义所在。本文在回顾有效市场假说、道氏理论、行为金融理论、估值理论、美林时钟、换手率等理论和国内学者文献的基础上,并结合笔者工作经验,提出了几个理论假设:假设1:中国股市存在动量效应,运用双动量策略优于运用单动量策略。假设2:行业景气度与行业指数涨幅存在相关关系。假设3:估值分位与反转效应出现概率存在相关关系,在估值分位过高与过低时,指数出现反转的概率较高。假设4:行业交易拥挤度过高或过低时,行业指数反转的概率较高。 本文选取动量、行业景气度、估值分位、交易拥挤度作为自变量,选择收益率作为因变量,提取证券市场的相关数据,查找了几个行业的相关政策,运用回归分析法、概率分析法、图表分析法、案例分析法、打分法等数据处理方法,验证理论假设是否成立,并进行策略测试并分析回测结果。本文首次研究了动量、行业景气度、指数估值分位水平、交易拥挤度之间的相关关系,以及这四个因子与投资收益率之间的关系。验证表明,以ETF为底层资产开发行业轮动策略获得绝对收益或超额收益是可行的。 在数据验证的基础上,构建了行业轮动策略,包括策略的核心内容、策略的构建步骤、策略的风险、注意事项,以及研究展望。
Date Created
2023
Agent

中资美元城投债发行信用利差归因分析

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Description
中资美元城投债近年来蓬勃发展,潜力巨大,成为市场的新亮点。但是因为其诸多特殊性,目前关于中资美元城投债的实证研究几乎是空白。本文选取2018年初至2021年4月底发行的所有中资美元城投债为样本,通过多元线性回归的方法,构建中资美元城投债一级市场发行定价模型,用实证方法来系统分析中资美元城投债发行信用利差的影响因素。在信用风险溢价方面,本研究首先从当地政府对城投公司的支持能力和支持意愿两个维度,创新地选择发行人应收账款政府占比等代理变量,以考察地方政府对城投债隐形担保问题。实证研究发现:(1)发行人所在地区的的人均GDP/全国人均GDP与发行利差显著负相关。(2)发行人所在地区的政府负债率与发行利差显著正相关。(3)发行人应收账款政府占比与中资美元城投债发行利差显著正相关。这些发现对于厘清中资美元城投债发行定价与当地政府的关系提供启发。 其次,本研究首次用实证的方法检验了中资美元城投债信用评级与发行信用利差的相关性。研究表明:(1)发行人国内信用评级与中资美元城投债的发行利差的负相关性在统计意义上并不显著。(2)国际债项评级、发行人国际评级与发行利差的负相关性非常显著。中国国内的信用评级体系还有待完善,国内信用评级的市场公信力有待提升。 另外,在其他宏观风险溢价方面,本研究创新地引入国家风险溢价变量,并以主权债券收益率差作为其代理变量。实证研究发现:(1)国家风险溢价与中资美元城投债发行利差的正相关性非常显著。(2)在同一模型中,目前市场通常采用的发行日美元指数、发行日人民币兑美元中间价与中资美元城投债发行利差的相关性并不显著。这表明,在中资美元城投债这一特殊的跨境债券产品发行定价中,国家风险溢价变量能够更精准、更全面地捕捉不同国家的汇率因素,不同国家经济、政治等宏观风险因素。 本研究在中资美元城投债发行定价模型构建、研究视角切入和变量选择等方面都有创新和突破,并对中资美元城投债市场的良性发展具有实践指导意义。
Date Created
2022
Agent

固收类资管产品合约法律责任确定性与产品投资风险关系研究

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Description
近些年来,我国资产管理行业发展势头迅猛,短短十余年时间,资产管理资金规模便由人民币十万亿余元扩大至百万亿之巨。资产管理行业覆盖范围广阔,几乎渗透了所有金融子行业。在庞大的资金规模下,很多资管机构及管理人并没有足够的专业管理能力,而是依赖政策红利、忽视风险匹配与防范,“人为”埋下许多投资风险隐患。随着2018年《资管新规》的推出,刚性兑付被打破,大量资管产品相继因所投标的违约而产生逾期兑付现象,市场上俗称“暴雷”。“暴雷”产品中不乏知名金融机构身影,且资管产品中涉及管理人未尽勤勉尽职问题,甚至存在直接违反资管合同约定进行投资的诉争案件数目也呈指数增长,即使头部机构也难逃未尽勤勉尽职而担责的境地。目前,我国的相关法律条款对管理人勤勉尽职范围、标准及责任的认定并没有非常明确,相应的惩罚机制也不够严厉。这种情况下,资管合约对管理人相关权利义务的具体约定就变得十分重要。资管合约内容中若对资产管理人投资管理行为及违约责任有明晰的约定,更能杜绝资产管理人不当投资行为,相比同类其它产品,也可以降低资管产品的不当投资风险。本文通过将资管合约条款数据化后,运用数据分析的方法分析固收类资管产品中法律责任规定的明确程度(可追责性)与相应产品的投资风险的关系,以便更好地提示投资者如何进行有效的资产配置,帮助监管者更好地对资管行业进行良性引导与约束,辅助资管机构更好地做好内控、风控及投资流程管理,减少因管理人的不当行为而导致超出正常市场投资风险事件发生的概率,最终实现更好地保护投资者利益及推动社会资产的良性配置的目标。研究发现:(1)管理人权限受约束程度越大,产品投资风险越小;(2)信息披露约定要求越高,产品投资风险越小;(3)投资限制约定越严格,产品投资风险越小;(4)风险披露约定越充分,产品投资风险越小;(5)关联交易限制约定越严格,产品投资风险越小。同时,部分证据还支持:(6) 反映对管理权限制的产品持有人大会权力越大,产品投资风险越小;(7)逾期兑付情况越严重,产品投资风险越大;(8)产品成立时间越早,产品投资风险越大。此外,虽然数据并未直接支持以下研究假设,但是仍有证据表明,在特定条件下这些假设也有成立可能性,具体结论还需进一步研究确立:(9)机构背景风险等级越高,产品投资风险越大;(10)投资团队实力越强,产品投资风险越低;(11)违约责任越明确,产品投资风险越低。 这些研究结果显示,若资管产品合同约定更为明确、更具有可追责性、资产管理机构的内部控制越严谨高效,管理人能尽到勤勉尽职义务,预期风险及收益更为匹配,则固收类资管产品的投资风险相对较低、收益情况更符合预期。
Date Created
2022
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