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The purpose of this paper is to focus on valuation practices applied by analysts to derive target price forecasts in Asian emerging markets. The key objective of this study is to understand valuation model preference of analysts and to compare the predictive utility of target price forecasts derived through heuristics-driven price-to-earnings (PE) model and theoretically sound discounted cash flow (DCF) model.

Each research report in the sample of 502 research reports has been studied in detail to understand the dominant valuation model (PE or DCF) applied by analyst to derive target price forecasts. These research reports have been issued on stocks trading in seven emerging markets including India, Malaysia, Indonesia, Taiwan, Philippines, Korea and Thailand during a six-year period starting 2008. Standard OLS and logit regression analysis has been performed to derive empirical findings.

The study finds that lower regulatory and reporting standards prevailing in emerging markets have no significant bearing on analyst choice of valuation model (PE or DCF). Time-series analysis suggests that emerging market analysts did not rely upon the usage of DCF model and preferred PE model during and immediately after the financial crisis of 2008. Multivariate regression results show weak evidence that PE model produces better results than DCF model after adjusting for the complexities associated with analyzing emerging market equities. The results imply that PE model, to some degree, is better equipped to capture market moods and sentiment in dynamic emerging markets rather than theoretically sound DCF model.

Most past studies on valuation model practices have focused on developed markets and this study provides a fresh perspective on analyst valuation model practices and performance in a new institutional setting of Asian emerging markets. The marginally better predictive utility of PE model as compared to DCF model is possibly a feature limited to Asian emerging markets.

The purpose of this paper is to examine whether analysts’ cash flow forecasts improve the profitability of their stock recommendations and whether the positive effect of cash flow forecasts on analysts’ stock recommendation performance varies with firms’ earnings quality.

To test the authors’ predictions, they identify a sample of 161,673 stock recommendations with contemporaneous earnings forecasts and/or cash flow forecasts and regress market-adjusted stock returns on a binary variable that proxies for the issuance of cash flow forecasts while controlling for contemporaneous earnings forecast accuracy, earnings quality, analysts’ forecast experience and capability and certain firm characteristics. The authors’ test results are robust to alternative measures of recommendation profitability, earnings quality and the use of recommendation revisions instead of recommendation levels.

The authors find that when analysts issue cash flow forecasts concurrently with earnings forecasts, their stock recommendations lead to higher profitability than when they only issue earnings forecasts, after controlling for analysts’ forecast capability. Moreover, the authors document that the contemporaneous positive relationship between cash flow forecasts and recommendations profitability is stronger for firms with low earnings quality than for firms with high earnings quality. The findings suggest that cash flow forecasts issued by analysts in response to market demand likely play a more important role in firm valuation than cash flow forecasts issued by analysts mainly because of supply-side considerations.

Future research could build on these findings to conduct further investigation on the alternative incentives for analysts’ forecasts of sales growth and long-term growth rates.

These findings may also help investors to better assess the quality of analysts’ research outputs and to identify superior stock recommendations.

This study provides insight into the role of cash flow forecasts in firm valuation and adds fresh evidence to the debate on the usefulness of cash flow forecasts. It extends the stream of research on the characteristics of analyst forecasts and increases our knowledge about the role of analysts in the financial market.

Addresses the problem of full digital processing of sensor signals at frequencies in the microwave and radio frequency range. Discusses advantages and drawbacks of the emerging digital alias‐free signal processing technology considering it as a new DSP tool prospective for achieving a breakthrough in DSP theory and techniques leading to a stepwise enlarging of the DSP application frequency range.

This study aims to investigate whether the cash flow forecasts (CFF) of analysts can disseminate valuable information to the information environments of companies.

The author uses empirical archival methodology to conduct differences-in-difference analyses.

It is found that information asymmetry decreases in the treatment group following the initiation of CFF during the postperiod, which is consistent with the hypothesis of this paper.

To the best of the author’s knowledge, this study is the first among the cash flow forecast studies to demonstrate the usefulness of CFF in the mitigation of information asymmetry, a friction that is widespread in capital markets.

This article examines the link between the structure of the board of directors and target price accuracy using a sample of 51 listed firms on the Tunisian Stock Exchange over the period of 2011–2017.

In this study, the authors used the generalised method of moments (GMM) model to control the endogeneity problem.

As a result, that model can serve as a signal in the forecasting process. The authors' results suggest that target price accuracy is negatively related to board independence, and dual Chief Executive officer (CEO). In addition, CEO compensation tends to exert a negative impact on target price error.

The authors' findings are valuable for common investors because the findings can be useful in enhancing their capital allocation decisions by assigning higher weights to forecasts issued by firms with strong corporate governance systems. The authors' study also has practical implications for managers and policymakers. Specifically, the evidence provided herein suggests that firms with strong corporate governance mechanisms enhance the accuracy of market expectations, alleviate information asymmetry, and limit market surprises, especially in a context characterised by weak investor protection. The authors' results highlight the advantages of strong corporate governance in improving a firm's information environment and, therefore, are useful for the cost–benefit analysis of improving internal governance mechanisms. Additionally, the authors' results may prove useful to investors who can rely on the information provided by analysts for well-governed companies.

The authors' study contributes to the literature in both corporate governance and analysts' forecasts fields. The study provides additional evidence of the benefit of board quality attributes on target price accuracy in an emerging market characterised by high information asymmetry and weak investor protection. The authors' findings exhibit the effectiveness of board attributes in producing better financial information quality in Tunisia. This is useful for investors who may improve their capital allocation decisions by assigning greater weights to target price forecasts of companies with good governance quality, suggesting that good corporate governance is a credible signal of better financial information quality. These results have important implications for capital market regulators and corporate management in encouraging the implementation of good governance practices.

The authors attempted to assess whether corporate governance of listed firms are priced in the Tunisian context characterised by weak governance control and to highlight which mechanism is highly considered by independent financial analysts to build their forecasts.

The purpose of this study is to analyse the role played by institutional investors in a firm’s decision to hire sustainability assurance services and to determine the benefits of sustainability assurance for the functioning of the capital market. This analysis is complemented by examining the quality of the sustainability assurance service that institutional investors demand.

The authors selected a sample of 1,564 multinational firms from 2002 to 2017. Panel data logit and generalised method of moments (GMM) regressions were estimated to consider decisions about hiring sustainability assurance services or not, and the assurance quality indexes constructed by a checklist based on the academic literature, respectively.

Institutional pressures associated with the environmental and social impacts of a firm’s activities lead to the convergence of institutional investor attitudes towards corporate sustainability, so that, regardless of their investment horizon, they promote the hiring of sustainability assurance services by corporate boards, which favours analyst precision and a reduction in the cost of capital. Long-term (LT) institutional investors exert influence through a selection mechanism, whereas short-term (ST) institutional investors exert influence through their presence on the board. Once the company has decided to provide assurance about its sustainability report, both types of institutional investors promote a higher quality of such service, although this is not well valued by the stock market.

This paper extends research on the monitoring role of institutional investors into the sustainability assurance context. Researchers may benefit from this paper’s findings when they examine the factors that drive the hiring of sustainability assurance services and their characteristics. This paper also shows that sustainability assurance services are a significant weakness due to the lack of standardisation in comparison with financial auditing, which complicates the assessment of their quality by stock market participants, thereby penalising those companies that provide more complete sustainability assurance reports.

Considering this paper’s findings, it seems advisable that regulators establish a normative framework to standardise sustainability assurance processes. The results can also be used as an orientation for both companies, to design their sustainability disclosure policies and regulators, to improve the running of the capital market.

Sustainability assurance services have a positive effect on the running of the capital market and improve external stakeholder decision-making by providing more reliable information, which, in turn, will favour the implementation of more sustainable actions that contribute to the attainment of sustainable development goals.

This is one of the first papers to analyse the effect of institutional ownership on a firm’s decision to hire sustainability assurance services and consider the effect of the institutional investors’ investment horizon – LT versus ST – and the channel – selection methods and/or active engagement – used by them to exert their influence. The authors also propose several measures of sustainability assurance quality to demonstrate the relevance of the contents of the assurance statement for the capital market in general and the institutional investors in particular.

Food security is an essential measure of welfare, especially for low-income families in developing countries. Policy makers should be aware of the harm food insecurity has on vulnerable households. This chapter empirically addresses the problems of measuring and monitoring food security in Mexico.

We identify the macro and micro approaches for measuring food security. The macro approach uses variables at the country level. Usually, this information is available on a yearly basis, is easy to implement, and can be compared across countries. The micro approach uses household questionnaires to collect food security information. Our analysis suggests that a macro approach will not be as precise as the micro approach due to inequality (agroclimatic, social, and economic).

Empirical experience suggests that food insecurity and its severity can be captured at the household level using the Food Insecurity Experiences Questionnaire. This questionnaire allows us to calculate food security measurements that closely follow the food security definition.

From a public policy perspective, the different methodologies for measurement do not consider all the dimensions of food security as defined by the term. This chapter examines which approach provides the best measurement of food security.

This study examined the impact of the Input Credit Scheme (ICS) by the Integrated Water Management and Agriculture Development (IWAD) on the productivity and food security of smallholder rice farmers in Ghana.

Cross-sectional data from 250 rice farming households in the Mamprugu Moagduri district of the North East Region obtained from a multi-stage sampling technique were used for the study. Inverse Probability Weighted Regression Adjustment (IPWRA), Propensity Score Matching (PSM) and Kendall's coefficient of concordance were the methods of analysis employed.

Empirical results show that education, rice farming experience, dependency ratio, FBO membership, farm size and farm age were the significant factors influencing participation in the input credit scheme (ICS). Also, participants had an average rice productivity of 1,476.83 kg/ha, whereas non-participants had 1,131.81 kg/ha implying that participants increased their productivity by about 30%. In addition, the study revealed that participant households increased their household dietary diversity (HDDS) by 0.45 points amounting to about 8% diversity in their diets. High-interest rates associated with credit received, the short periods of credit repayment and the high cost of inputs provided under the scheme were the most challenging constraints associated with partaking in the ICS.

The available literature on agricultural interventions have predominantly emphasized input credit as a key factor for improving cropt productivity and food security of smallholders. This study provides compelling evidence that participation in ICSs can result in substantial benefits for agricultural development, as evidenced by increased productivity leading to improved food security. The significance of these findings is highlighted by the fact that, through participation in input credit schemes, smallholder rice farmers in many developing countries see substantial improvement in their capacity to access productive resources, thereby improving their productivity, while simultaneously reducing food insecurity.

Leveraging on the improved productivity of participants in the ICS, this study advocates that such input credit schemes should scale up to more food-insecure farming communities in Ghana.

The study uses a doubly robust econometric approach to evaluate the impact of ICS on smallholder rice farmers' productivity and food security in Ghana, making it the first of its kind. The findings offer a solid basis for future research and provide guidance for policymakers looking to boost agricultural development in Ghana.

The purpose of this paper is to assess whether there is an association between CEO age and analysts forecast properties (particularly forecast accuracy and bias/optimism). CEOs, having the central role in managing firms, can significantly influence the financial and non-financial decisions in an organisation. Furthermore, having been identified as key culprits in past major accounting scandals, it is also important to identify the CEO characteristics that affect financial reporting decisions.

This study adopts the upper echelon theory on the relationship between CEO age and analysts forecast properties. The authors use a sample of 2,730 Australian firm-year observations for the period 2004–2013 drawn from IBES, Connect 4 and SIRCA databases.

The authors find that analyst forecast accuracy increases and bias (optimism) reduces with the CEO age. The authors conclude that earnings and related information provided to analysts improves with the CEO age, which increases the forecast accuracy and reduces bias (optimism). Additional results suggest that the positive (negative) effect of CEO age on forecast accuracy (bias) remains until the CEOs reach the age of their retirement age (65 years). The results remain consistent with a number of sensitivity tests and provide implication for stakeholders such as firms, analysts, auditors, financial statements users and regulators.

The authors demonstrate that the relationship between CEO age and analyst forecast properties is not linear but is, in fact, curvilinear substantiating concerns that CEOs that are much younger or much older do not help increase the quality of the information environment. Consequently, firms hiring CEOs in the right age bracket also benefit by having higher-quality information environment leading possibly to reduce costs such as those relating to debt and/or equity ultimately increasing firm value.

Empirical studies on the association between CEO age and analysts earnings properties in Australia are scarce and this paper contributes to the determinants of the analysts forecast accuracy and bias (optimism) and the CEO age literature.

The authors provide evidence for the effects of social norms on corporate governance risk by studying “sin” stocks publicly traded companies involved in producing alcohol, firearms, biotechnology, gambling, military, nuclear power and tobacco. There is a societal norm against funding operations that promote vice and expropriation by controlling shareholders.

The sample is representative of S&P 500 firms in 2014. The authors use Datastream to obtain a sample of sin stocks. The authors’ descriptive analysis is completed by four variations of the basic ordinary least squares regression model according to dependent variable corporate governance risk score.

The authors find that non-financial incentives alone do not explain corporate governance risk. The authors provide strong empirical support for an alignment of financial and non-financial incentives. The authors show that when sin firm’s current performance is good, suggesting that the market holds a positive belief in firm’s future profitability, managers will likely have more incentive to expropriate shareholders.

Belonging of firm to a sin industry does not reflect the acceptance level of social norms. The evolution of social norms towards sin stocks overcomes the drawback of assuming a constant social norms level over time. Therefore, researchers are encouraged to use the changes in consumption of sin products as a proxy for the evolution of social norms and examine does sin matter in corporate governance issue in other countries.

Well-planned and well-managed philanthropy sin industries to creating education programmes for the disadvantaged to protecting the environment, in the name of corporate social responsibility has become a necessary ingredient in virtually every large corporation’s business plan.

This paper fulfils an identified need to study does sin matter issue in corporate governance issue.