Showing papers on "Stock exchange published in 2018"

Intellectual Capital, Financial Performance and Companies’ Sustainable Growth: Evidence from the Korean Manufacturing Industry

Abstract: Intellectual capital (IC) is considered to be a wealth generator and driver of financial performance thus creating competitive advantage and sustainability in business. This paper empirically investigates the impact of IC on financial performance and sustainable growth in the Korean manufacturing industry. Multiple regression models are applied with data collected from 390 manufacturing companies listed on the Korean Stock Exchange during 2012–2016. The results of the analysis show that IC has a positive impact on financial performance and companies’ sustainable growth. In addition, companies’ performance and sustainable growth are positively related to physical capital, human capital (HC), and relational capital (RC). RC is found to be the most influencing factor. Finally, innovative capital captures additional information on structural capital (SC) which negatively affects the performance of Korean manufacturing companies. The results extend the understanding of IC in creating corporate value and building sustainable advantages in emerging economies.

The effect of good corporate governance mechanism and corporate social responsibility on financial performance with earnings management as mediating variable

Abstract: Purpose The purpose of this paper is to determine the direct influence of the mechanism of good corporate governance (GCG) and corporate social responsibility (CSR) on financial performance as well as through earnings management as a mediating variable. Design/methodology/approach The data used in this research are secondary data involving 102 companies listed on the Indonesian Stock Exchange for the period 2014. The data used in this study were analyzed using partial least square and carried out with the help of software WarpPLS 5.0. Findings The results show that the mechanism of GCG and CSR has a positive effect on financial performance as well as the CSR on financial performance. Originality/value The results also show partial mediation of earnings management on impact of GCG mechanisms on financial performance and full mediation of earnings management on impact of CSR on financial performance.

Returns to Buying Winners and Selling Losers

Abstract: The argument put forward in this paper is that stocks listed on the Stockholm Stock Exchange, from 1993 to 2016, exhibits return continuation over an intermediate-horizon. The best performing strategy, which selects stocks based on the previous six months’ returns and holds the portfolio for three subsequent months, yields an average monthly return of 2.33%. Moreover, results are robust after risk-adjustment. The Capital Asset Pricing Model, as well as the Fama and French three-factor model, produce qualitatively incorrect predictions that losers are riskier, which consequently increases the risk-adjusted return rather than decreasing it.

Stock Market Prediction on High-Frequency Data Using Generative Adversarial Nets

Abstract: Stock price prediction is an important issue in the financial world, as it contributes to the development of effective strategies for stock exchange transactions. In this paper, we propose a generic framework employing Long Short-Term Memory (LSTM) and convolutional neural network (CNN) for adversarial training to forecast high-frequency stock market. This model takes the publicly available index provided by trading software as input to avoid complex financial theory research and difficult technical analysis, which provides the convenience for the ordinary trader of nonfinancial specialty. Our study simulates the trading mode of the actual trader and uses the method of rolling partition training set and testing set to analyze the effect of the model update cycle on the prediction performance. Extensive experiments show that our proposed approach can effectively improve stock price direction prediction accuracy and reduce forecast error.

The Effect of Board Capital and CEO Power on Corporate Social Responsibility Disclosures

Abstract: This study examines the effect of directors’ human and social capital (i.e. board capital) on the level of corporate social responsibility (CSR) disclosures by drawing on insights from a resource-based view. It also investigates the effect of chief executive officer (CEO) power on this relationship. Data were obtained from annual reports of companies listed on the Dhaka Stock Exchange in Bangladesh from 2005 to 2013. We employ outside directors’ experiences and expertise as a proxy for board capital and measure CEO power using a ‘power index’ that comprises CEO duality, ownership, tenure and family CEO status. Results show that board capital is positively associated with CSR disclosure levels; however, CEO power is negatively associated with CSR disclosures and reduces the effect of board capital on CSR disclosures. Thus, we conclude that although board capital can improve CSR practices, CEO power can also inhibit these practices.

The value relevance of environmental, social, and governance performance: the Brazilian case

Abstract: There is extensive literature on the value relevance of social responsibility for companies that operate in developed countries. However, little is known about the influence of these practices on the price of assets listed on emerging economies, such as Brazil. In this context, the aim of this study is to analyse whether social responsibility activities carried out by companies listed on the Sao Paulo Stock Exchange during the 2010–2015 period play a significant role in enhancing firm value. Unlike previous studies, we distinguish between the three modern pillars of sustainability: environmental, social, and corporate governance (ESG). Our overall results support the value enhancing theory rather than the shareholder expense theory. However, it is important to note that the results also show that the market does not significantly value the three ESG pillars. Specifically, the market positively and significantly values the environmental practices carried out by companies not related to environmentally sensitive industries. In contrast, the market positively and significantly values the social and corporate governance practices carried out by the companies belonging to these sensitive industries. These findings are relevant for both investors and the managers of these companies, policy makers, customers, and citizens concerned about ESG issues.

The Financialisation of Rental Housing 2.0: Releasing Housing into the Privatised Mainstream of Capital Accumulation

Abstract: This article presents two cases of listed real estate companies that operate in the Ruhr metropolitan region of Germany. The first is Immeo Wohnen, a subsidiary of the French real estate investment trust (REIT) Fonciere des Regions that was previously owned by a US hedge fund. The second is Vonovia, Germany's largest real estate company, originally a subsidiary of a British private equity firm. Both examples embody what we call the shift from financialisation 1.0 to financialisation 2.0, i.e. the transition from pure speculation to long‐term investment. We show that long‐term investment strategies are used by REITs and listed funds in order to release housing into the privatised mainstream of capital accumulation. With the advent of the financialisation of rental housing 2.0, the long‐term investment focus of these funds paradoxically enables a short‐term investment focus by buying and selling shares in these funds on the stock exchange

Firm performance, corporate governance and executive compensation in Pakistan

Abstract: This study examines the effects of firm performance and corporate governance on chief executive officer (CEO) compensation in an emerging market, Pakistan. Using a more robust Generalized Method of Moments (GMM) estimation approach for a sample of non-financial firms listed at Karachi Stock Exchange over the period 2005–2012, we find that both current- and previous-year accounting performances has positive influence on CEO compensation. However, stock market performance does not appear to have a positive impact on executive compensation. We further find that ownership concentration is positively related with CEO compensation, indicating some kind of collusion between management and largest shareholder to get personal benefits. Inconsistent with agency theory, CEO duality appears to have a negative influence, while board size and board independence have no convincing relationship with CEO compensation, indicating board ineffectiveness in reducing CEO entrenchment. The results of dynamic GMM model s...

Integrating dynamic fuzzy C-means, data envelopment analysis and artificial neural network to online prediction performance of companies in stock exchange

Abstract: One of the main features to invest in stock exchange companies is their financial performance. On the other hand, conventional evaluation methods such as data envelopment analysis are not only a retrospective process, but are also a process, which are incomplete and ineffective approaches to evaluate the companies in the future. To remove this problem, it is required to plan an expert system for evaluating organizations when the online data are received from stock exchange market. This paper deals with an approach for predicting the online financial performance of companies when data are received in different time’s intervals. The proposed approach is based on integrating fuzzy C-means (FCM), data envelopment analysis (DEA) and artificial neural network (ANN). The classical FCM method is unable to update the number of clusters and their members when the data are changed or the new data are received. Hence, this method is developed in order to make dynamic features for the number of clusters and clusters members in classical FCM. Then, DEA is used to evaluate DMUs by using financial ratios to provide targets in neural network. Finally, the designed network is trained and prepared for predicting companies’ future performance. The data on Tehran Stock Market companies for six consecutive years (2007–2012) are used to show the abilities of the proposed approach.

Environmental Incidents and the Market Value of Firms: An Empirical Investigation in the Chinese Context

Abstract: We examine firms listed on the Shanghai/Shenzhen Stock Exchange to investigate stock market reactions to 294 Chinese manufacturing firms involved in 618 environmental incidents between 2006 and 2013. Through our event studies, we find empirical evidence of a significantly negative stock market reaction to announcements of environmental incidents. Our empirical analysis reveals that Chinese firms with a higher government share (of ownership) and recognition of social responsibility tend to be less affected by such incidents; however, Chinese firms with stronger personal political ties (i.e., top management teams or board members with concurrent or prior government appointments) are actually affected more when environmental incidents occur. Moreover, environmental incidents caused by Chinese firms can have a significantly negative impact on the market value of their overseas customers. The online appendix is available at https://doi.org/10.1287/msom.2017.0680.

Macroeconomic factors, firm characteristics and financial performance: A study of selected quoted manufacturing firms in Nigeria

Abstract: Purpose The purpose of this paper is to explore the interrelationship between macroeconomic factors, firm characteristics and financial performance of quoted manufacturing firms in Nigeria. Specifically, the study investigates the effect of interest rate, inflation rate, exchange rate and the gross domestic product (GDP) growth rate, while the firm characteristics were size, leverage and liquidity. The dependent variable financial performance is measured as return on assets (ROA). Design/methodology/approach The study used the ex post facto research design. The population comprised all quoted manufacturing firms on the Nigerian Stock Exchange. The sample was restricted to companies in the consumer goods sector, selected using non-probability sampling method. The study used multiple linear regression as the method of validating the hypotheses. Findings The study finds no significant effect for interest rate and exchange rate, but a significant effect for inflation rate and GDP growth rate on ROA. Second, the firm characteristics showed that firm size, leverage and liquidity were significant. Practical implications The study has implications for regulators and policy makers in formulating policy decisions. In addition, managers may better understand the interplay between macroeconomic factors, firm characteristics and profitability of firms. Originality/value Few studies have addressed the interplay of macroeconomic factors and firm characteristics in determining the profitability of manufacturing firms in the country and developing countries in general.

Forecasting stock market index daily direction: A Bayesian Network approach

Abstract: In this work, we investigate the feasibility of Bayesian Networks as a way to verify the extent to which stock market indices from around the globe influence iBOVESPA – the main index at the Sao Paulo Stock Exchange, Brazil. To do so, index directions were input to a network designed to reflect some intuitive dependencies amongst continental markets, moving through 24 and 48 h cycles, and outputting iBOVESPA’s next day closing direction. Two different network topologies were tested, with different numbers of stock indices used in each test. Best results were obtained with the model that accounts for a single index per continent, up to 24 h before iBOVESPA’s closing time. Mean accuracy with this configuration was around 71% (with almost 78% top accuracy). With results comparable to those of the related literature, our model has the further advantage of being simpler and more tractable for its users. Also, along with the fact that it not only gives the next day closing direction, but also furnishes the set of indices that influence iBovespa the most, the model lends itself both to academic research purposes and as one of the building blocks in more robust decision support systems.

Inside the “ black box ” of private in-house meetings

Abstract: We examine information content and related insider trading around private in-house meetings between corporate insiders and investors and analysts. We use a hand-collected dataset of approximately 17,000 private meeting summary reports of Shenzhen Stock Exchange firms over 2012–2014. We find that these private meetings are informative and corporate insiders conducted over one-half of their stock sales (totaling $8.7 billion) around these meetings. Some insiders time their transactions and earn substantial gains by selling (purchasing) relatively more shares before bad (good) news disclosures while postponing selling (purchasing) when good (bad) news is to be disclosed in the meeting. Finally, we conduct a content analysis of published meeting summary reports and find that the tone in these reports is associated with stock market reactions around (1) private meetings themselves, (2) subsequent public release of private meeting details, (3) subsequent earnings announcements and (4) future stock performance.

Public mood – driven asset allocation : the importance of financial sentiment in portfolio management

Abstract: The study of the impact of investor sentiment on stock returns has gained increasing momentum in the past few years. It has been widely accepted that public mood is correlated with financial markets. However, only a few studies discussed how the public mood would affect one of the fundamental problems of computational finance: portfolio management. In this study, we use public financial sentiment and historical prices collected from the New York Stock Exchange (NYSE) to train multiple machine learning models for automatic wealth allocation across a set of assets. Unlike previous studies which set as target variable the asset prices in the portfolio, the variable to predict here is represented by the best asset allocation strategy ex post. Experiments performed on five portfolios show that long short-term memory networks are superior to multi-layer perceptron and random forests producing, in the period under analysis, an average increase in the revenue across the portfolios ranging between 5% (without financial mood) and 19% (with financial mood) compared to the equal-weighted portfolio. Results show that our all-in-one and end-to-end approach for automatic portfolio selection outperforms the equal-weighted portfolio. Moreover, when using long short-term memory networks, the employment of sentiment data in addition to lagged data leads to greater returns for all the five portfolios under evaluation. Finally, we find that among the employed machine learning algorithms, long short-term memory networks are better suited for learning the impact of public mood on financial time series.

Does Firm Performance Influence Corporate Social Responsibility Reporting of Chinese Listed Companies

Abstract: This study aims to investigate whether firm performance influences corporate social responsibility reporting of Chinese listed companies. We have used the sample of all A-share listed firms on Shenzhen and Shanghai stock exchanges for the period 2008 to 2015. The authors used pooled ordinary least squares (OLS) regression as a baseline methodology. To control the possible problem of endogeneity we use one year lagged and two-stage least squares regression. We find that firm performance has a statistically significant impact on CSR reporting. Moreover, we see that firms with high performance are more likely to report CSR activities than low-performance firms. Additionally, five of the control variables (board size, CEO power, SOE, firm size, and Big4) have some influence on CSR reporting. These findings hold for a set of robustness tests. Our results have implications for the development of CSR reporting in developing countries like China. Our research suggests that, in China, companies with better financial performance undertake more CSR reporting. The paper contributes to the existing literature by investigating the effect of firm performance on CSR reporting of Chinese listed companies. Additionally, this paper enriches the current literature on CSR reporting and highlights the importance of a firm’s financial performance for better environmental performance and reporting.

The Impact of Capital Structure on Risk and Firm Performance: Empirical Evidence for the Bucharest Stock Exchange Listed Companies

Abstract: This paper analyzes the evolution of the main theories regarding the capital structure and the related impact on risk and corporate performance. The capital structure is a dynamic process that changes over time, depending on the variables that influence the overall evolution of the economy, a particular sector, or a company. It may also change depending on the company’s forecasts of its expected profitability, capital structure being, in fact, a risk–return compromise. This study contributes to the literature by investigating the drivers of capital structure of the firms from the Romanian market. For the econometric analysis, we applied multivariate fixed-effects regressions, as well as dynamic panel-data estimations (two-step system generalized method of moments, GMM) on a panel comprising the companies listed on the Bucharest Stock Exchange. The analyzed period, 2000–2016, covers a cycle with significant changes in the Romanian economy. Our results showed that leverage is positively correlated with the size of the company and the share price volatility. On the other hand, the debt structure has a different impact on corporate performance, whether this calculated on accounting measures or seen as market share price evolution.

Corporate social responsibility, firm performance and the moderating effect of earnings management in Chinese firms

Abstract: The purpose of this paper is to examine the relationship between corporate social responsibility (CSR) and firm performance and the moderating role of earnings management on the relationship between CSR and firm performance.,The empirical study used the updated data set (3,481 unbalanced observations for period 2009–2015) from Chinese listed companies on Shenzhen and Shanghai stock exchanges. The generalized method of moments (GMM) statistical approach has been used for the analysis. The authors utilized STATA to test GMM on a sample of Chinese listed firms data over the period 2009–2015. The unbalanced sample obtained 3,481 observations from China stock market and accounting research database and CSR ratings provided by Rankins (RKS).,The results demonstrated that CSR has a positive and significant relationship with firm’s performance; also, earnings management has a negatively moderate relationship between CSR and firm performance. These results imply that a high value of earnings management, which results in high level of symbolic CSR, converts to low firm performance of the Chinese firms. CSR actions (only as symbolic measures) promoted by managers as a means to cover their profit management incite an adverse effect on the company’s performance. This study has highlighted the impact of two different corporate social responsibilities: substantive and symbolic (genuine CSR vs greenwashing) on firm performance.,The results of this investigation will be of distinct interest to company owners who wish to ascertain the effectiveness of the sustainability decisions of directors and managers, and also to investors and public authorities to estimate the positive relationship between CSR and company’s reputation and image, and thus, the positive influence on firm performance.,Previous studies have generally focused on the relationship between CSR and firm performance. This study provides the impact of earnings management (measurement of both aspects of accrual-based earnings management and real earnings management) on this relationship. Furthermore, this study examines the state of CSR in the Chinese market and provides empirical evidence of this relationship in emerging markets.

The relationship between ownership structure and firm financial performance: Evidence from Jordan

Abstract: Purpose Previous studies that dealt with corporate governance have witnessed gradually significant growth that created some new trends. This paper aims to be involved in such trends through examining the link between ownership structure as one of the important corporate governance mechanisms and firm performance in Jordan as one of emerging economies. Design/methodology/approach The current study used the multiple regression method to analyze available data for non-financial firms listed in the Amman Stock Exchange (ASE) for the fiscal year 2012. Findings The findings revealed that managerial ownership has a positive impact on performance. On the other hand the findings surprisingly showed no evidence to support the impact of foreign ownership on performance. Moreover, there is a significant evidence to support the fact that company size has no impact on firm performance. The findings also revealed that industry type has no impact on firm performance. Practical implications The practical implications of t...

An Effective Financial Statements Fraud Detection Model for the Sustainable Development of Financial Markets: Evidence from Taiwan

Abstract: This study aims to establish a rigorous and effective model to detect enterprises’ financial statements fraud for the sustainable development of enterprises and financial markets. The research period is 2004–2014 and the sample is companies listed on either the Taiwan Stock Exchange or the Taipei Exchange, with a total of 160 companies (including 40 companies reporting financial statements fraud). This study adopts multiple data mining techniques. In the first stage, an artificial neural network (ANN) and a support vector machine (SVM) are deployed to screen out important variables. In the second stage, four types of decision trees (classification and regression tree (CART), chi-square automatic interaction detector (CHAID), C5.0, and quick unbiased efficient statistical tree (QUEST)) are constructed for classification. Both financial and non-financial variables are selected, in order to build a highly accurate model to detect fraudulent financial reporting. The empirical findings show that the variables screened with ANN and processed by CART (the ANN + CART model) yields the best classification results, with an accuracy of 90.83% in the detection of financial statements fraud.

CSR and Firm Value: Evidence from China

Abstract: This study attempts to investigate the influence of corporate social responsibility (CSR) on firm value. Drawing upon stakeholder theory and a resource-based view, we argue that corporate social responsibility is expected to positively affect firm value because it helps firms gain positive stakeholder responses. Based on longitudinal data of Chinese manufacturing firms listed at Shanghai and Shenzhen Stock Exchange between 2010 and 2015, we use multiple linear regression to find that corporate social responsibility has a positive relationship with firm value and that the relationship between CSR and firm value is weakened for firms with higher advertising intensity, as CSR by these firms gains negative stakeholder responses. State-owned firms were shown to benefit more from CSR, as CSR by these firms gains positive stakeholder responses for such firms.

The Analysis of Effects of Good Corporate Governance on Earnings Management in Indonesia with Panel Data Approach

Abstract: T he research was aimed to analyze effects of Good Corporate Governance, comprising of Composition of Commissioners & Audit Committee on earnings management an Empirical Study on Indonesia Stock Exchange with Panel Data Approach. The data collection method used was documentation. The samples in this research were in Indonesia registered in Indonesia Stock Exchange. The data analysis method employed panel data regression analysis with E-Views Software. The results demonstrate that Good Corporate Governance simultaneously affects earnings management. Partial testing indicates that Good Corporate Governance variable of Composition of Commissioners has no effect on earnings management & Audit Committee has no effect on Earnings Management.

The effect of stakeholder pressure and corporate governance on the sustainability report quality

Abstract: The purpose of this study is to examine the effects of stakeholder pressure and corporate governance on the quality of sustainability report. This study uses environment, employee, consumer and shareholder as stakeholders, while board of commissioner effectiveness and family ownership are used as corporate governance components.,This research uses multiple regression method with total observations of 123 sustainability reports of listed firms on Indonesia Stock Exchange in 2010-2014.,The result shows that companies which get pressure from environment and consumer have higher quality of sustainability report than other firms. Pressure from employee positively affects the quality of sustainability report. Meanwhile, pressure from shareholders has no effect on the quality of sustainability report. Board of commissioner effectiveness positively affects the quality of sustainability report, and family ownership has no effect on the quality of sustainability report.,This research reveals how various types of stakeholders and corporate governance in Indonesia react to corporate social responsibility and thus influence the quality of sustainability report, which has not been discussed by previous studies.