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Some evidence from a principal component approach to measure a new investor sentiment index in the Tunisian stock market

机译:一些证据来自主要成分方法来衡量突尼斯股市新的投资者情绪指数

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Purpose - The purpose of this paper is to study a novel and direct measurement of investor sentiment index in the Tunisian stock market that overcomes the weaknesses of a well-known investor sentiment index by Baker and Wurgler (2006, 2007).Design/methodology/approach - Based on the data of 43 firms of the Tunisian stock market index (Tunindex) over the period 2004-2016, the author constructs a monthly investor sentiment that reflects both the economic fundamentals and the investor sentiment components. Seven indirect indicators collected from investor sentiment literature and Tunisian stock exchange were analyzed. Specifically, after accounting to remove the sentiment component for macroeconomic factors, the author estimates each sentiment proxy with a number of controlling variables. The residual from the estimation is used to define the author's measure of excessive investor sentiment To determine the best timing of sentiment indicators, the author employs a factor sentiment series as the first principal component of these total seven sentiment proxies and their lags of a month. Furthermore, by capturing the highest saturations with the first factor analysis, the author regressed each selected indicator's lead or one-month lag in a second linear principal component analysis to reach the author's Tunisian market's total sentiment index.Findings - The results show that all employed indicators may reflect the investor sentiment on the Tunisian stock market The findings also indicate significant evidence that the author's sentiment index takes into consideration the political and economic events such as the Jasmine Revolution experienced by Tunisia during the period from January 2, 2004 to December 30, 2016. Moreover, investor sentiment index flow appears to be one leading mechanism for the performance of Tunindex.Originality/value - Results found have clearly shown that the author's seven indirect indicators can reflect investor sentiment in the Tunisian context. The various sentiment proxies are bullish indicators of investor sentiment Brown and Cliff (2004) argue that the higher bull/bear ratio, the more investor sentiment is bullish. An important value of price-earnings ratio implies that the level of investor confidence as for change in market is also important. Liquidity measured by trading volume, market turnover ratio and liquidity ratio reflects individual investor sentiment. Otherwise, it seems that investors only invest when they are optimistic and reduce market liquidity once they became pessimistic. The monthly response rate to initial public offerings (IPOs) represents a bullish sentiment indicator. Indeed, the more optimistic investors are, the higher the response rate to IPOs. Investor satisfaction also reflects investor sentiment. In other words, a high level of satisfaction translates an important level of optimism. In addition, the author also recognizes that the authors' Tunisian sentiment index follow general trend of stock market prices and appears to be an important determinant of Tunindex returns during the period of study, from January, 2004 to December, 2016. The author suggests investor sentiment can help predict Tunindex returns, distinguishing between turbulent and tranquil periods in the financial market. The graphical illustration of monthly investor sentiment index shows that it captures extreme events such as the Tunisian revolution of January, 2011, also known as the Jasmine revolution which marked the start of the Arab Spring and the consequences of economic and political turmoil in Tunisia that have disrupted economic activity in the next few years. Like all research work, the current research paper has certain limitations. The choice of control variables allowing the author to separate sentiment component of that fundamental might be criticized. Moreover, there is no unanimous number of control variables but they are chosen according to data availability. The author also believes that one of the study's weaknesses is that the author has not examined the impact of investor sentiment on the Tunisian stock market For future interesting avenues of research, the author proposes, first, to study the effect of investor sentiment on financial asset returns and check, second, if sentiment factor constitutes an additional source of business risk valued by the marketplace.
机译:目的 - 本文的目的是研究突尼斯股市投资者情绪指数的新颖和直接衡量突尼斯股市的投资者情绪指数,克服了贝克和武吉勒(2006,2007)。设计/方法的知名投资者情绪指数的弱点方法 - 基于2004 - 2016年期间突尼斯股票市场指数(TunIndex)的43家公司的数据,提交人建立了每月投资者情绪,反映了经济基本面和投资者情绪组成部分。分析了从投资者情感文献和突尼斯证券交易所收集的七种间接指标。具体而言,在考虑删除宏观经济因素的情绪组件之后,作者估计每个具有许多控制变量的情绪代理。估计的残差用于定义作者对过度投资者情绪的衡量,以确定情绪指标的最佳时机,聘请一个因子情感系列作为这些共有七种情绪代理的第一个主要成分及其一个月的滞后。此外,通过将最高的饱和度与第一因素分析捕获最高的饱和度,作者在第二个线性主成分分析中回归每个选定的指标的铅或一个月滞后,以达到作者的突尼斯市场的总情感指数。 - 结果表明所有雇用指标可能反映了突尼斯股票市场的投资者情绪,调查结果还表明作者的情绪指数考虑了突尼斯在2004年1月2日至12月30日期间的兴生革命等政治和经济活动,此外,投资者情绪指数流量似乎是TunIndex.originality / Value的表现的一个主要机制 - 结果清楚地表明,作者的七个间接指标可以反映突尼斯语境中的投资者情绪。各种情绪代理商是投资者情绪棕色和悬崖(2004)的看涨指标争辩说,牛犊比率越高,投资者情绪越多。价格收入比例的一个重要价值意味着投资者的信心水平对市场变动的信心也很重要。通过交易量,市场周转率和流动性比率测量的流动性反映了个人投资者情绪。否则,似乎投资者只有一旦他们变得悲观,他们就会乐观和降低市场流动性。初始公开发行(IPO)的月度响应率代表了看涨情绪指标。实际上,更乐观的投资者是IPO的响应率越高。投资者满意度也反映了投资者情绪。换句话说,高度满意度转化了一个重要的乐观水平。此外,作者还认识到提交人的突尼斯情绪指数遵循股票市场的总体趋势,似乎是2004年1月至2016年1月至2016年12月期间的TunIndex回报的重要决定因素。作者提出了投资者情绪可以帮助预测TunIndex回报,区分金融市场中的湍流和宁静时期。每月投资者情绪指数的图形说明表明,它捕获了2011年1月的突尼斯革命等极端事件,也称为茉莉花革命,这些革命标志着阿拉伯春天的开始以及突尼斯经济和政治动荡的后果。未来几年中断经济活动。与所有研究工作一样,目前的研究文件具有一定的局限性。选择控制变量允许作者将这种基本的情绪组成分开可能受到批评。此外,没有一定数量的控制变量,但根据数据可用性选择它们。作者还认为,作者尚未审查作者对投资者情绪对突尼斯股市的影响,为未来的研究有趣的研究,首先要研究投资者情绪对金融资产的影响返回和支票,第二,如果情绪因素构成了市场价值估值的额外业务源。

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