漫画

<正>基金分红有现金分红和红利再投资两种方式。现金分红是直接获得现金,且无须支付赎回费;红利再投资则是将分红所得继续投资该基金,这样即可免掉再投资的申购费,而且再投资所获得的基金份额还可享受下次分红。     

浅议规范基金收益分配的机制

基金收益分配俗称基金分红,它是指基金将收益的一部分以现金方式派发给基金投资人。根据基金收益分配的政策不同,可以将所有的基金分成两类：货币市场基金（51只）和非货币市场基金（342只）。非货币市场基金包括：开放式基金（除去货币市场基金之外的全部开放式基金）和全部的封闭式市场基金。从实践上看对于基金收益分配的法规缺失,目前只有针对货币市场基金收益分配的法规——《货币市场基金管理暂行规定》,该规定指明货币市场基金应当每日进行收益分配,时间相对固定。     

开放式基金红利承诺的信号效应

在我国,部分开放式基金在成立初期会在基金契约内约定最低分红占前期收益的比例,这种红利承诺可以对基金管理人产生激励和约束效应,基金管理人可以利用这种红利承诺传递基金收益能力的信号.本文构造了开放式基金最低红利承诺的信号模型,并通过实证检验发现:在我国最低红利支付率与现金净流入量相关,所以红利承诺的约束机制能够有效,但投资者的不完全理性削弱了红利承诺的激励效应,从而使得高收益能力的基金经理选择稍低水平的红利支付率以弥补规模损失,所以中等承诺红利水平的基金经理具有最突出的业绩表现和最高的生存概率.     

基金收益率排名与计算的比较研究

目前各种财经媒体推出的基金收益率排名存在较大差异,向前复权或向后复权均不能反映基金的实际收益情况。基于定点复权的思想,本文提出新的实际收益率计算方法,重点关注分红对基金收益的影响,并构建分析模板分别对开放式基金和封闭式基金进行研究。针对封闭式基金实际收益率构建的三因子模型,发现封基的实际收益率除了和其自身盈利能力有关之外,对折价率变动、分红再投资收益等因素更加敏感。     

基金收益率排名与计算的比较研究

目前各种财经媒体推出的基金收益率排名存在较大差异,向前复权或向后复权均不能反映基金的实际收益情况。基于定点复权的思想,本文提出新的实际收益率计算方法,重点关注分红对基金收益的影响,并构建分析模板分别对开放式基金和封闭式基金进行研究。针对封闭式基金实际收益率构建的三因子模型,发现封基的实际收益率除了和其自身盈利能力有关之外,对折价率变动、分红再投资收益等因素更加敏感。     

机构投资者能提高开放式基金的业绩吗

本文通过对开放式基金的实证研究,发现开放式基金的机构投资者持股比例与超额收益率呈显著的负相关关系,即机构投资者并不能提高开放式基金业绩。相反机构投资者持股比例越高,开放式基金业绩可能越低,这与已有研究文献的结论不同。同时还发现基金公司收取的管理费用和基金的累计净值对基金业绩有正面的影响。     

机构投资者能提高开放式基金的业绩吗

本文通过对开放式基金的实证研究,发现开放式基金的机构投资者持股比例与超额收益率呈显著的负相关关系,即机构投资者并不能提高开放式基金业绩。相反机构投资者持股比例越高,开放式基金业绩可能越低,这与已有研究文献的结论不同。同时还发现基金公司收取的管理费用和基金的累计净值对基金业绩有正面的影响。     

开放式基金分拆问题研究

开放式基金频频大比例分红、分拆背后的动机一直困惑着学者和实际工作者.本文通过实证方法,试图揭示基金管理公司热衷于大比例分红、分拆所管理基金的原因,以及投资者认同单位净值较低基金的理由,以期为基金管理公司等金融机构的营销管理提供启示,并为基金投资者澄清一些认识上的误区.     

基于Logistic模型的开放式基金异常分红问题研究

本文选取2006年、2007年开放式基金有关数据,运用Logistic模型对开放式基金异常分红的影响因素进行了实证分析,结果表明:我国开放式基金异常分红明显受到投资类型、单位基金可分配收益的影响,与基金最新规模、累计净值增长率、投资风格等因素没有显著的相关关系;股票型基金易发生异常分红现象,且与单位基金可分配收益显著负相关。     

基于Logistic模型的开放式基金异常分红问题研究

本文选取2006年、2007年开放式基金有关数据,运用Logistic模型对开放式基金异常分红的影响因素进行了实证分析,结果表明:我国开放式基金异常分红明显受到投资类型、单位基金可分配收益的影响,与基金最新规模、累计净值增长率、投资风格等因素没有显著的相关关系;股票型基金易发生异常分红现象,且与单位基金可分配收益显著负相关.     

Smart money or dumb money? A study on the selection ability of mutual fund investors in China

We examine investors’ mutual fund selection ability in China. Using actively managed equity mutual funds between 2005 and 2011, we find that Chinese investors generally have no mutual fund selection ability, a result contrary to the smart money effect in the United States. We show that mutual funds that receive more new money subsequently underperform significantly. The findings are robust to several risk-adjusted performance measures. The unique data of China provide separate accounts of institutional and individual investors’ new money flowing into and out of mutual funds, allowing us to examine the mutual fund selection ability of institutional and individual investors. We document that institutional investors exhibit a smart money effect, that is, they are able to move new money into (out of) future good (poor) performers. In contrast, individual investors exhibit a dumb money effect. Our results provide useful information for regulators to review their rules, especially for the protection of individual investors regarding mutual fund investing in China. In addition, we show that it is useful to distinguish institutional and individual investors in mutual fund research.     

Improved inference in the evaluation of mutual fund performance using panel bootstrap methods

Two new methodologies are introduced to improve inference in the evaluation of mutual fund performance against benchmarks. First, the benchmark models are estimated using panel methods with both fund and time effects. Second, the non-normality of individual mutual fund returns is accounted for by using panel bootstrap methods. We also augment the standard benchmark factors with fund-specific characteristics, such as fund size. Using a dataset of UK equity mutual fund returns, we find that fund size has a negative effect on the average fund manager’s benchmark-adjusted performance. Further, when we allow for time effects and the non-normality of fund returns, we find that there is no evidence that even the best performing fund managers can significantly out-perform the augmented benchmarks after fund management charges are taken into account.     

The influence of academic interactions on stock selection and performance: Evidence from Japan

Using mutual fund holdings data and fund manager demographic data, this paper examines whether academic interactions between fund managers and board members affect fund manager investment decisions and fund performance. I show that mutual fund managers are more likely to hold academically related stocks. Performance tests provide empirical evidence that academic interactions are beneficial to earn more profits. In addition, I show that mutual fund managers seem to lose profitable opportunities due to academic interactions because of their investment styles. Overall, this paper shows that mutual fund managers seem to take advantage of academic interactions to earn greater profits.     

The discourse of inflation accounting

The value of a share is given by the dividend discount model as a simple function of future dividends; but the actual determination of the share price is rarely based upon the direct estimation of these future dividends. A ranking of the valuation models used by analysts and fund managers shows a preference for ‘unsophisticated’ valuation using, for example, the dividend yield rather than the dividend discount model. This finding is shown to depend upon the practical difficulty of using currently-available information to forecast future cash flows. This difficulty limits the quantitative basis of valuations to short forecast horizons, while the subjective, qualitative estimation of terminal value assumes great importance. Crucially, both analysts and fund managers use their own assessment of management quality to underpin the estimation of terminal value, on the basis that superior quality causes outperformance and that, whereas management quality can be assessed now, future performance itself is unobservable. Linked with this and with information asymmetry, valuation is a dynamic, company-specific process, focused on personal communication with management and embodying ongoing signalling and implicit contracting, using both dividends and other variables. This method of valuation causes formal valuation models such as the dividend yield to play only a limited role. They offer a benchmark of relative price differences, which serves as a basis from which to conduct subjective, company-specific analysis and to make investment decisions; but valuation models are not used exclusively, in themselves, to value shares.     

开放式基金的资金流量对投资组合的影响分析

对单个基金来说,基金流量会影响到投资者的收益,其中的途径就是通过影响基金的投资组合,文章实证检验了由基金资金流入或流出引发的基金资产组合交易变动的程度,同时验证了基金“流动性动机交易”在中国基金市场上确实存在。     

Impact of investor sentiment on mutual fund risk taking and performance: evidence from China

ABSTRACT

This study provides empirical rationale and guidance for incorporating investor sentiment into mutual fund enterprise information systems. It investigates the effect of fund-specific investor sentiment on fund risk taking and performance. Working on a sample of equity funds in China, our panel regressions reveal that fund risk-taking is negatively related to lagged fund-specific investor sentiment. Investor sentiment is negatively linked to subsequent fund performance, which conforms with the dumb money effect. Encouragingly, there is evidence that mutual fund managers in China possess investing expertise. Fund-specific investor sentiment shows asymmetric impacts. The dumb money effect is primarily driven by positive sentiment.     

Geographical Proximity and Mutual Funds' Proxy Voting Behavior

This paper examines the influence of geographical proximity on mutual fund proxy voting decisions. Using mutual fund proxy voting data for the sample period July 1, 2003 to June 30, 2004, we find that fund managers vote more in favor of management of locally headquartered firms. The results are strong for proposals related to executive compensation, anti‐takeover provisions, social and political issues. We provide evidence to show that bias in proxy voting is not being driven by informational advantage; voting bias is prevalent in small as well as large size companies. Additionally, the voting pattern suggests that geographical proximity does not facilitate in better corporate monitoring as revealed in their voting decisions. We find that local fund managers vote more favorably in those proposals which do not increase shareholders' wealth and rights. Our results suggest that familiarity and social interaction between fund managers and firm executives located in the same geographic area might explain the local bias in mutual fund proxy voting behavior. Copyright © 2011 John Wiley & Sons, Ltd.     

Performance measurement and best-practice benchmarking of mutual funds: combining stochastic dominance criteria with data envelopment analysis

We propose a method for mutual fund performance measurement and best-practice benchmarking, which endogenously identifies a dominating benchmark portfolio for each evaluated mutual fund. Dominating benchmarks provide information about efficiency improvement potential as well as portfolio strategies for achieving them. Portfolio diversification possibilities are accounts for by using Data Envelopment Analysis (DEA). Portfolio risk is accounted for in terms of the full return distribution by utilizing Stochastic Dominance (SD) criteria. The approach is illustrated by an application to US based environmentally responsible mutual funds.     

Evaluating mutual funds on a small market: is benchmark selection crucial?

This paper focuses on mutual fund performance analysis on a small market during a turbulent period. Firstly, we address the question of proper measures and benchmarks. A potentially critical issue on a small market concerns large market weights for individual stocks, which in combination with mutual fund legislation may prevent funds from following the index. Secondly, our investigation period was characterized by persistent bull and bear markets, which makes it interesting to investigate whether successful market timing was possible. Different measures of performance are compared and benchmark sensitivity is analysed with the help of various market timing and multiple index models, including benchmarks such as the FOX and HEX indices, a small-firm index, and a bond index. Contrary to many studies that record great benchmark sensitivity, we find markedly similar ranking for different benchmarks. Performance measures are also related to certain fund characteristics such as fund expenses, and fund size. We find that fund characteristics (especially fund expenses) are significantly related to fund performance, a relationship that may be used to increase the power of tests of fund performance.