Does investor sentiment affect price-earnings ratios?

2017 ◽  
Vol 34 (2) ◽  
pp. 183-193 ◽  
Author(s):  
Boonlert Jitmaneeroj

Purpose A large number of empirical studies investigate the determinants of price-earnings (P/E) ratio by focusing on fundamental factors. However, there has been an increasing concern that stock valuation is also driven by investor sentiment. This paper aims to extend the existing literature by exploring whether investor sentiment impacts the P/E ratio. Design/methodology/approach The paper examines the determinants of P/E ratio by applying latent variable models with investor sentiment as a latent variable and several fundamental factors as control variables. Investor sentiment is proxied by trading volume, advance-decline ratio and price volatility. Findings Using annual data of the US industries over the period of 1998-2014, the current paper produces new empirical evidence that investor sentiment significantly affects the P/E ratio. This result is robust to the inclusion of several control variables that have been documented to explain the P/E ratio. Practical implications The findings have important implications for investors, as downplaying sentiment can lead to significant errors in making equity investment choices based on the P/E ratio. Originality/value The analytical framework of the current paper is differentiated from the conventional analysis in which the P/E ratio is regressed against control variables and proxies for sentiment, thus falling into the trap of implicitly presupposing that proxies are perfect measures of investor sentiment. As all proxies may have measurement errors to the true but unobservable investor sentiment, the current paper uses latent variable models to shed new light on the influence of investor sentiment on the P/E ratio.

2018 ◽  
Vol 44 (4) ◽  
pp. 478-494 ◽  
Author(s):  
Boonlert Jitmaneeroj

Purpose Corporate social responsibility (CSR) has several dimensions that are inherently unobservable or measured with errors. Due to measurement errors of CSR proxies, regression analysis seems inappropriate for investigating the relationship between CSR and firm value. Accounting for CSR measurement errors, the purpose of this paper is to use a latent variable analysis to examine whether CSR affects firm value. Design/methodology/approach This study applies a latent variable model that directly takes into account the measurement errors of CSR proxies. Moreover, the inclusion of firm-fixed effects in the model controls for time-invariant unobservable firm-specific characteristics that may drive both CSR and firm value. CSR is measured by environmental, social, and corporate governance activities. Findings Based on data of US firms between 2002 and 2014, this study finds conflicting evidence of a direct association between each CSR proxy and firm value. When all CSR proxies are incorporated into a latent variable model, CSR significantly positively impacts firm value. Therefore, CSR strategies based on a single measure of CSR or the equal weighting of CSR measures tend to underestimate the influence of CSR on firm value. Practical implications Corporate managers should enhance firm value by simultaneously engaging in environmental, social, and corporate governance activities because there is a synergistic effect with firm value. Furthermore, investors who downplay CSR factors in firm valuation can lead to significant errors in making equity investment choices. Originality/value This study presents a novel examination of the price-earnings ratio in the CSR valuation by using the latent variable model with firm-fixed effects.


2019 ◽  
Vol 36 (2) ◽  
pp. 114-129 ◽  
Author(s):  
Mobeen Ur Rehman ◽  
Nicholas Apergis

Purpose This paper aims to explore the impact of investor sentiments on economic policy uncertainty (EPU). The analysis also considers the momentum effect, stock market returns volatility and equity pricing inefficiencies across markets, which, to the best of the authors’ knowledge, has not been addressed in the literature. The role of these control variables has collectively been considered to have important behavioral implications for international investors Design/methodology/approach Quantile regressions are used for estimation purpose, as it provides robust and more efficient estimates rather than those coming from the traditional regression model. Findings The momentum effect is negative and significant only at higher quantiles, while oil prices are positive and significant across all quantiles. The exchange rate exerts a negative and significant effect on EPU, whereas equity price volatility (i.e. investor sentiment) exerts a negative and significant impact on EPU in most of the quantiles. Research limitations/implications The results have important implications for international investors and policymakers, especially in terms of the breakdown of economic policy uncertainty across different sample markets. The breakdown of complete sample period into sub-samples acts as a robust analysis and documents the similarity of the results for the Asian and developed markets cases, but not in the case of the European markets. Practical implications The findings imply the importance of financial stability that impacts the accumulation of systemic risks and adds smoothness to the financial cycle in particular geographical areas. Originality/value The contribution of this paper is threefold. First, existing literature highlights and empirically tests the impact of economic policy uncertainty on different market, macro-economic and global control variables. The analysis, however, performs it in the reverse order, i.e. analyzing the impact of the momentum effect (investor sentiment variables), equity market inefficiencies and volatility (market variables) and exchange rates and Brent oil (control variables). Second, to check the sensitivity of economic policy uncertainty, the analysis analyzes a wide range of markets, segregated as emerging, developed and European regions over the sample period to generate region-wise implications. Finally, the analysis explores the relationship of aforementioned variables with economic policy uncertainty keeping in view the non-linear structure and prior evidence and investor sentiments and economic policy uncertainty in the regression model.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Suryakanta Nayak ◽  
Dukhabandhu Sahoo

PurposeThe aim of this study is to examine the impact of foreign direct investment (FDI) inflow and information and communication technology (ICT) on the economic performance of India by analysing annual data from 1991 to 2019.Design/methodology/approachThis study has used data collected from secondary sources. The variables considered for the analysis are based on the review of theoretical and empirical literature. Moreover, apart from the quantitative variables, two qualitative variables have also been considered through the use of dummy variables. The Cobb–Douglas, Transcendental logarithmic and Simultaneous equations models have been used for the study.FindingsThe result reveals that the partial elasticities of the per-capita gross domestic product (PCGDP) of India with respect to FDI, mobile density (MD) and internet density (ID) are 0.074, 0.024 and 0.036, respectively. The positive and significant coefficient of the interaction among FDI, MD and ID in the estimation of the transcendental logarithmic function indicates the importance of ICT infrastructure in extracting the best out of FDI (the coefficient is 0.011 for the model without any control variables and it is 0.005 with control variables).Originality/valueThe findings of this study are more reliable as the latest available data have been analysed through the appropriate econometric models. This study will be useful for the policymakers in the formulation of policies with regard to foreign capital and digitalisation.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Agung Nur Probohudono ◽  
Adelia Dyaning Pratiwi ◽  
Mahameru Rosy Rochmatullah

PurposeThis paper explores the influence between intellectual capital (IC) and the risk of stock price crashes by using company performance as an intervening variable.Design/methodology/approachThis study empirically analyzes the impact of the efficiency of IC on stock price crash risk using a sample size of 152 companies listed on the Indonesia Stock Exchange (IDX) during 2018. To test the research hypotheses, regression analysis and path analysis were applied. In addition, the researchers added exploration to several studies to strengthen the results of this study.FindingsThis study’s findings indicate that investors' optimistic (pessimistic) sentiment regarding stock price volatility has obscured aspects of the financial performance of listed companies. This finding implies that investor sentiment has dominated influence on stock price crash risk so that the aspects of IC are obscured.Originality/valueThis research provides new information that IC disclosure in the stock market needs to include knowledge of the volatility of stock prices in order to reveal stock price crash risk.


2020 ◽  
Vol 12 (1) ◽  
pp. 1-20 ◽  
Author(s):  
Christine Murray ◽  
Brittany Wyche ◽  
Catherine Johnson

Purpose The purpose of this paper is to describe the ongoing data and evaluation strategies being used to document the impact of the Guilford County Family Justice Center, which has been in operation for nearly four years. Design/methodology/approach There are four primary ongoing data and evaluation strategies used to tell the story of the impact of the family justice center (FJC) on the community: tracking services provided by the FJC, collecting annual data from partner agencies, conducting week-long censuses and doing an annual survey of professionals affiliated with the FJC and its partner organizations. (The current paper reports on the first three of these strategies.) Findings Methodological limitations of the evaluation strategies used warrant caution in interpreting the findings of the ongoing evaluation of the Guilford County FJC. However, preliminary evaluation findings indicate support for the center’s positive impact on the community it serves, including in the number of clients served, a reduction in domestic violence-related homicide rates and the creation of new community resources that emerged through the FJC partnership. Research limitations/implications Each of the evaluation strategies used in this study holds inherent strengths and limitations, which are discussed in the paper. Beyond the future evaluation of local FJCs, a range of rigorous methodologies can be used to further explore the impact of the FJC model. Qualitative methods may be useful for gaining an in-depth understanding of victims’ and survivors’ perceptions of accessing resources through an FJC, as well as for studying beliefs and attitudes toward FJCs among various community stakeholders. Quantitative methods can be used to apply more complex statistical analyses to comparing indicators of the impact of FJCs over time. Practical implications The data and evaluation findings from the Guilford County FJC add support to the potential positive impact of the FJC model on communities. These preliminary data suggest that FJCs can impact communities by offering support to victims and coordinating resources among partner organizations. Collaborative partnerships can be leveraged to lead to broader community changes that strengthen community-level responses to interpersonal violence through greater community awareness, opportunities for community members to contribute to solutions and the establishment of new resources that emerge from needs identified through the partnership. Social implications Overall, there is a pressing need for research examining various aspects of the FJC model and identifying factors that contribute to its success at fostering collaboration, supporting victims and survivors, holding offenders accountable and preventing future violence. With the rapid growth of the FJC models, the need for research and evaluation to document the effectiveness and limitations of the model is high. Originality/value Designed to serve as a one-stop shop for victims of domestic violence and other forms of violence to seek help, FJCs offer, within a single location, multiple services from a variety of professional disciplines. These services include law enforcement, victim advocacy and prosecution. Although the FJC model is expanding rapidly across the USA and internationally, research to date is limited, and thus, the current paper will add to the research and evaluation basis for the FJC movement.


Author(s):  
Alhaji Bukar Mustapha ◽  
Rusmawati Said

Purpose – The purpose of this paper is to examine some factors that influence the intensity of fertilizer use in Malawi. Design/methodology/approach – The study uses Engle-Granger, Engle-Yoo three steps and autoregressive distributed lags (ARDLs) approaches to examine the long-run and the short-run dynamics among the variables using annual data from 1961 to 2006. Findings – The econometric results indicate that all the variables exert significance influence on the quantity of fertilizer demanded excluding population growth, while the results of the short-run model indicate that the responsiveness of fertilizer demand to all the variables is significant. Research limitations/implications – Although, this study has provided some helpful results in understanding the major factors responsible for low fertilizer consumption in the study but some time series data on important factors are lacking. Originality/value – The work is different from already existing literature in Malawi. The authors included subsidy and real gross domestic product to account for the effect of macroeconomic shocks and policies, which has not been accounted for by other related empirical studies. Moreover, this study used ARDLs techniques that can overcome the problem of insufficiently long time series data which is a significant contribution to the existing literature.


2019 ◽  
Vol 46 (3) ◽  
pp. 401-420
Author(s):  
Ahmed Bouteska

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.


2017 ◽  
Vol 16 (1) ◽  
pp. 125-140 ◽  
Author(s):  
Boonlert Jitmaneeroj

Purpose This paper aims to examine the conditional and nonlinear relationship between price-earnings (P/E) ratio and payout ratio. A common finding of previous studies using linear regression model is that the P/E ratio is positively related to the dividend payout ratio. However, none of them investigates the condition under which the positive relationship holds. Design/methodology/approach This paper uses the fixed effects model to investigate the conditional and nonlinear relationship between P/E ratio and payout ratio. With the inclusion of fundamental factors and investor sentiment, this model allows for nonlinear relationship to be conditioned on the return on equity and the required rate of return. Findings Based on the annual data of industries in the USA over the period of 1998-2014, this paper produces new evidence indicating that when the return on equity is greater (less) than the required rate of return, the P/E ratio and dividend payout ratio exhibit a negative (positive) relationship and positive (negative) convexity. Practical implications Due to the curvature relationship between P/E ratio and payout ratio, the corporate managers and stock investors should pay more attention to the reduction in payout ratio than the rising payout ratio and the companies with low payout ratios than the companies with high payout ratios. Originality/value No previous study has tackled the issue of conditional and nonlinear relationship between P/E ratio and payout ratio. This paper attempts to fill the gap by allowing for nonlinear relationship conditional on the relative values of the return on equity and the required rate of return.


2020 ◽  
Vol 14 (2) ◽  
pp. 133-154
Author(s):  
Ranjan Dasgupta ◽  
Sandip Chattopadhyay

Purpose The determinants of investors’ sentiment based on secondary stock market proxies in many empirical studies are reported. However, to the best of our knowledge, no study undertakes investor sentiment drivers developed from primary survey measures by constructing an investor sentiment index (ISI) in relation to market drivers to date. This study aims to fill this research gap by first developing the ISI for the Indian retail investors and then examining which of the stock market drivers impacts such sentiment. Design/methodology/approach The ISI is constructed using the mean scores of eight statements as formulated based on popular direct investor sentiment surveys undertaken across the world. Then, we use the multiple regression approach overall and for top 33.33% (high-sentiment) and bottom 33.33% (low-sentiment) investors based on the responses of 576 respondents on 18 statements (proxying eight study hypotheses) collected in 2016. Moreover, the demography-based classification based investors’ sentiment is examined to make our results more robust and in-depth. Findings On an overall basis, the IPO activities/issues and information certainty, trading volume and momentum and institutional investors’ investment activities market drivers significantly and positively impact retail investors is examined. However, only IPO activities/issues and information certainty influences both high- and low-sentiment investors. It is intriguing to report that nature of the stock markets show conflicting results for high- (negative significant) and low- (positive significant) sentiment investors. Originality/value The construction of the ISI from primary survey measure is for the first time in Indian context in relation to investigating the stock market drivers influential to retail investors’ sentiment. In addition, hypothesized market drivers are also unique, each representing different fundamental and technical characteristics associated with the Indian market.


2019 ◽  
Vol 46 (4) ◽  
pp. 858-871 ◽  
Author(s):  
Vaseem Akram ◽  
Badri Narayan Rath

Purpose The purpose of this paper is to examine the convergence analysis of public debt among Indian states using annual data from 1990‒1991 to 2014‒2015. Design/methodology/approach The paper tests this hypothesis using club convergence technique propounded by Phillips and Sul (2007). Findings The results reveal the existence of debt divergence for overall Indian states. States are formed into four clubs on the basis of their level of debt, and three clubs support the hypothesis of club convergence. Further, the total public debt decomposes into three compositions such as market loans, bank loans and loans and advances from the central government. The existence of convergence is found for market loans and bank loans; however, the presence of divergence is found in case of loans and advances for overall states. Practical implications Since public debt plays an important role for fiscal health of the Indian states, findings of this study suggest to squeeze the fiscal consolidation further for Indian states whose debts as a percentage to gross state domestic product are on the higher side. Further, the examination of debt convergence helps to manage debt level among the states because heavy dependence on public debt could retard investment and economic growth. Originality/value Whereas bulk of empirical studies emphasize on examining the linkage between public debt and economic growth, and issue on debt sustainability across Indian states, examination of convergence of debt and its compositions (markets borrowings, bank loans and loans and advances from the central government) among the Indian states is scanty.


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