Collective mental accounting: an integrated behavioural portfolio selection model for multiple mental accounts

We propose a behavioural portfolio selection model called collective mental accounting (CMA), which integrates all mental sub-portfolios (mental accounts) in one mathematical model. Moreover, this study contributes to the literature of behavioural portfolio selection in three further ways: first, the CMA model can determine the proportions of wealth allocated to each mental sub-portfolio with and without input from the investor. Second, unlike other mental accounting models (MA), in CMA it is possible to define constraints on total asset holdings such as short-selling, and cardinality constraints. Third, in order to make CMA more tractable and mathematically elegant, we obtain a semi-definite programming representation of the model. We also present a numerical example to investigate the effects of short-selling constraints as well as to compare the portfolio recommendations, utility functions, feasibility, and optimality of the CMA and MA models. The results reveal that although both models’ solutions are mean-variance efficient, CMA outperforms MA in terms of behavioural efficient frontier and utility functions.     

From COVID-19 herd immunity to investor herding in international stock markets: The role of government and regulatory restrictions

We study if government response to the novel coronavirus COVID-19 pandemic can mitigate investor herding behaviour in international stock markets. Our empirical analysis is informed by daily stock market data from 72 countries from both developed and emerging economies in the first quarter of 2020. The government response to the COVID-19 outbreak is measured by means of the Oxford COVID-19 Government Response Tracker, where higher scores are associated with greater stringency. Three main findings are in order. First, results show evidence of investor herding in international stock markets. Second, we document that the Oxford Government Response Stringency Index mitigates investor herding behaviour, by way of reducing multidimensional uncertainty. Third, short-selling restrictions, temporarily imposed by the national and supranational regulatory authorities of the European Union, appear to exert a mitigating effect on herding. Finally, our results are robust to a range of model specifications.     

隐性杠杆约束、流动性风险和投资者情绪

本文以2003—2019年间开放式主动管理型的股票型和偏股型基金为样本,以持仓占比为权重估算基金投组中A股的总市场风险暴露,检验结果表明,该序列上升反映了基金面临的隐性杠杆约束收紧,刻画了市场的弱流动性。内在逻辑在于,流动性收紧时,投资者难以通过融资直接增加杠杆,更倾向于重仓持有高市场风险头寸的股票而间接实现杠杆。本文发现隐性杠杆约束所刻画的风险在股票或基金收益截面上的无条件定价基本失效,而条件定价则依赖于低市场情绪与弱流动性。分解基金持股的敞口,进一步发现,因中小盘基金在流动性收紧时具有更强的流动性偏好,其持股的市场风险头寸能够更敏锐地捕捉到弱流动性风险。     

铁路企业建立职业经理人制度探索

为进一步深化铁路企业改革,加快完善市场化经营机制,应积极探索建立职业经理人制度。在阐述职业经理人制度政策依据的基础上,提出推进职业经理人制度建设的基本条件,即建立公司化的法人治理结构,并从优化产权结构、明确权责划分、推进董事会建设、发挥职业经理人作用等方面对建立健全铁路企业法人治理结构进行论述。从管理机制、激励约束机制、引进退出机制3个方面,探讨铁路企业建立职业经理人制度形成机制,提出铁路企业应按照分层分类改革原则,逐步推行职业经理人制度。     

税收优惠影响企业创新产出的多元机制研究——来自中国软件与集成电路产业的证据

创新政策一直是激励企业创新的重要手段，其中税收优惠政策是一种具有市场导向性的激励政策，对企业创新具有良好的促进作用，但是政策对企业产生激励作用的原因尚不清晰。选取对我国技术突破有重要作用的软件与集成电路企业，采用2006-2018年中国A股上市公司数据，聚焦2011年国家对软件与集成电路行业的两个税收优惠政策，运用双重差分法对企业创新产出影响进行实证研究。结果发现：税收优惠政策对发明专利申请有显著促进作用，而对非发明专利申请无显著影响。融资约束、企业避税行为等是税收激励政策发挥作用的主要渠道。另外，税收优惠政策对不同规模、产权和区域企业有不同影响，税收优惠政策对大型企业、国有企业以及中西部地区企业创新产出促进作用更大。从税收优惠政策长期影响看，该政策对专利申请的影响存在时滞性，而发明专利申请在政策发生当年就显著增加。研究结论可为明晰税收优惠政策、融资约束与企业创新产出间关系提供有益启示。     

外部融资、技术创新研发与企业成长--银行信贷与技术研发交互作用的经验研究

在当前经济转型升级的大背景下,要想保持经济长期可持续的增长,必然要求微观企业保持良好的成长态势和较高水平的生产效率。本文利用BEEPS的中国企业调查微观数据,考察了外部融资约束、银行信贷和技术研发影响企业绩效和企业成长的作用机制。研究表明：外部融资约束对企业生产效率有显著负面影响,企业技术研发对生产效率有显著的促进作用,外部融资约束通过技术研发投入途径对企业生产效率产生抑制效应;银行信贷对于企业生产效率有直接的负面影响,只有将其投入到技术研发活动中才会发挥促进企业成长的作用。     

Short-sellers: Informed but restricted

According to theory, the level of short-selling can predict short-run future returns through two channels. One channel relates to the demand-side of the stock lending market: short-sellers are informed. The other channel relates to the supply-side: short-sellers are restricted. Measuring the importance of each channel is empirically challenging when, in general, supply and demand in the stock lending market are not directly observable. This paper takes advantage of a unique dataset that contains actual shifts in lending supply of stocks on the Brazilian market and proposes an identification strategy for the effects of both supply and demand on stock prices. We find that both channels are important.     

The rise and fall of technical trading rule success

The purpose of this paper is to examine the performance of an important set of momentum-based technical trading rules (TTRs) applied to all members of the Dow Jones Industrial Average (DJIA) stock index over the period 1928–2012. Using a set of econometric models that permit time-variation in risk-adjusted returns to TTR portfolios, the results reveal that profits evolve slowly over time, are confined to particular episodes primarily from the mid-1960s to mid-1980s, and rely on the ability of investors to short-sell stocks. These findings are demonstrated to be consistent with theoretical models that predict a relationship between TTR performance and market conditions.     

地区金融扭曲差异对外资进入的影响

随着我国FDI流入量的逐年上升,现行金融体系能否适应外资的大量流入,已成为国内外学者关注的焦点。本文采用我国1998-2007年间28个省区面板数据,分析了金融扭曲差异对FDI流入的影响。实证研究表明:地区金融扭曲差异会影响FDI的流入,但金融扭曲差异对外商直接投资存量的影响程度要小于其对外商直接投资流量的影响。分地区研究发现:我国东部金融扭曲差异对FDI流入没有显著作用;而中西部金融扭曲差异显著地抑制了FDI流入,且对外商直接投资流、存量的抑制程度要明显的大于东部。     

国有企业与非国有企业信贷约束的差异研究——基于现金一现金流敏感度的分析

根据现有理论,国有企业和非国有企业信贷约束的差异是理解中国经济失衡的关键,本文利用近年来公司金融文献中提出的现金一现金流敏感度的分析方法,以中国A股上市企业1990—2010年的数据为样本,研究了中国国有企业与非国有企业存在着的信贷约束差异。其基本计量模型回归结果表明,非国有企业的信贷约束更强,而国有企业则不存在信贷约束。随后,采取的稳健性检验结果表明非国有企业受到了信贷约束,而国有企业则没有受到信贷约束这一结论具有稳健性。