Capital Market Research Articles

The contradictory impact of ESG performance on corporate competitiveness: Empirical evidence from China's Capital Market

In recent years, with the increasing awareness of sustainable development, corporate ESG (Environmental, Social, and Governance) performance has garnered widespread attention from investors and has had a sustained impact on long-term business operations. The mechanisms by which ESG performance affects corporations primarily include the "governance effect" and the "window-dressing effect." Aimed at high-quality development goals, what kind of impact does ESG performance have on corporate competitiveness? This paper attempts to explore the economic relationship between corporate ESG performance and corporate competitiveness in China's capital market through theoretical analysis and empirical testing. The research results show that ESG performance significantly promotes corporate competitiveness, particularly through the "social" dimension (S) and "governance" dimension (G). ESG performance significantly enhances corporate competitiveness by increasing corporate philanthropic donations and improving total factor productivity, demonstrating the "governance effect" of ESG. However, in the "environmental" dimension (E), ESG performance instead leads to an increase in corporate carbon emissions, which may indicate that corporate efforts in environmental areas are more for superficial appearance, exhibiting the "window-dressing effect" of ESG. This study reveals the crucial role of ESG practices in enhancing corporate competitiveness, providing theoretical support and policy implications for promoting corporate competitiveness and achieving high-quality development goals.

Cracking the Book Value Mystery: Understanding Earning Per Share, Price Earning Ratio, and Operational Efficiency in IDX80 Enterprises Indonesia

Research Aims: This study aims to elucidate the determinants of book value by investigating the effects of earnings per share (EPS), price-to-earnings (PER) ratios, and operational efficiency among companies listed in the IDX80 index from 2021 to 2023. Design/methodology/approach: The research utilizes a quantitative approach with an explanatory design, analyzing secondary data from the financial reports of 80 companies. Variables like EPS, PER, BV, and NPM are assessed using the Partial Least Squares (PLS) method via SmartPLS to uncover their relationships in the Indonesian capital market. Research Findings: Key findings highlight the significant impact of EPS on share valuation reflected in book value (BV) and the mediating role of NPM in this relationship. The study underscores the complexity of using PER alone to evaluate company worth within the IDX80 index, emphasizing the need for further exploration to enhance investment strategies and financial decision-making. Theoretical Contribution/Originality: This study enhances understanding of equity valuation in Indonesia's capital market by analyzing how EPS, PER ratios, and operational efficiency influence companies in the IDX80 index from 2021 to 2023. It integrates theoretical frameworks like signalling theory and mediation via NPM, showing that EPS significantly impacts share valuation through NPM. The research underscores limitations of using PER exclusively to evaluate company worth, emphasizing the intricate nature of stock valuation in the IDX80 index. Future studies should delve deeper into these factors to improve investment strategies and financial decision-making.

Social Media Networks and Stock Price Synchronicity: Evidence from a Chinese Stock Forum

The widespread communication and interaction between small investors on social media in the capital market has resulted in the formation of a social media network specific to listed companies. Using a unique dataset from an active online stock forum in China, we construct a social media network of listed companies by assigning listed companies as nodes and common commenters who post in each of the subforums for two listed companies in a year as edges. Then, we investigate the relationship between the network centrality of the listed companies and stock price synchronicity. The results show that there is a significantly negative relationship between the social network centrality of listed companies and stock price synchronicity, indicating that social media networks can improve the price efficiency of capital markets. The mechanism analysis shows that social media networks can produce more corporate‐specific information and improve the efficiency of information dissemination, thus reducing stock price synchronicity.

Capital Structure and Its Impact on Profitability- An Empirical Study on Indian Infrastructure Construction Industry

The purpose of this study is to analyse and study the impact of profitability in the capital structure for the top firms of the infrastructure construction industry of India, according to their market capitalization. These firms are listed in National stock exchange. Along with that empirically analysing howthe profitability of these firm are affected by their capital structures. Both theTime series and cross-sectional data are taken into consideration for analysis. These are tested with the empirical panel data regression. For this EViews software is used. And the result of the study demonstrates that the capital structure has a significant impact on the profitability of the top specific firmstaken for the study. On the basis of this analysis the final conclusion of the project is made which provides future scope for the further research work in this area. Key words: Capital Structure, Return on Equity, Return on Asset, Panel Data,Total Liability

The Too-Big-to-Fail Premium in Tier-2 Capital Bonds and Additional Tier-1 Capital Bonds Primary Markets: Evidence from China

Abstract This study examines the too-big-to-fail expectations in the primary market issuance spreads of commercial bank tier-2 capital bonds and additional tier-1 capital bonds in China. Using a sample of 574 issuances with total amount of 4.76 trillion RMB (749 billion USD), we conduct median regressions with the issuance spreads as the dependent variable. The coefficients of DSIB and GSIB are negative and statistically significant at 1% and 5% levels respectively in the full sample, and are negative and statistically significant at 1% level in the subsample after the guidance on asset management businesses was announced. Ceteris paribus, the issuance spreads of capital bonds of systemically important banks are 15.2 bps to 19.7 bps lower than those issued by other banks. The too-big-to-fail expectations and implicit guarantee of systemically important banks in the Chinese bond market, which narrow the primary market spreads of capital bonds issued by systemically important banks, may account for the results. To address the potential endogeneity issues, we use 90% quantile and 95% quantile of sample bank consolidated assets as proxies of systemic importance, and use China Development Bank bond yields to calculate issuance spreads, and the results show that the conclusion is robust.

Financial Fraud Detection Study - Based on Logit Model

The problem of financial fraud has always been a key issue of concern for researchers at home and abroad, and financial fraud of listed companies occurs from time to time at home and abroad, which produces a huge loss of interest for investors as well as the downturn and instability of the capital market, for this reason, it is necessary to carry out a study on the detection of financial fraud. This paper analyzes the financial fraud detection of Chinese listed companies by establishing a Logit model, firstly, obtain the financial statement sample data of Chinese listed companies from CSMAR, and divide the sample into training set and test set with the ratio of 9:1 to preprocess the sample data and fill in the missing values; secondly, this paper selects the financial statement data, and based on the previous research, selects the characteristics that are related to the risk of financial fraud and constitute the risk of financial fraud. high features, and constitute the feature indicators for financial fraud detection; again, since detecting financial fraud is a binary classification problem, the sample is divided into fraudulent companies and normal companies, so this paper studies the financial fraud problem through the discrete choice model in the econometric model, constructs a Logit model, conducts a goodness-of-fit test on the sample data of CSMAR, and estimates the parameters using the method of maximum likelihood estimation ; finally, the test set data is used to test the model's ability to predict financial fraud.

Unveiling the Nexus of Consumer Price Index, Economic Policy Uncertainty, Geopolitical Risks, and Gold Prices on Indonesian Sustainable Stock Market Performance

This study contributes to evaluate capital market performances categorized as sustainable stocks in Indonesia. The aim of the proposed model is to examine the impact of the Consumer Price Index, Economic Policy Uncertainty, Geopolitical Risk, and Global Gold Prices on the SRI-KEHATI Index. The study will cover the study period from January 2017 to December 2022. The ARDL approach is employed to see impacts in both long-term and short-term. The findings indicate that in the short run, the variables Consumer Price Index and Geopolitical Risk have a notable positive impact on the SRI-KEHATI Index, while World Gold Prices have a substantial negative impact. However, the variable Economic Policy Uncertainty does not have a significant effect on the SRI-KEHATI Index. In addition, over an extended period of time, the variables of Economic Policy Uncertainty and Geopolitical Risk exhibit a notable and constructive impact on the SRI-KEHATI Index. Compared to the long-term impact of the Consumer Price Index on Gold Prices is negligible.

Analysis of Portfolio Optimization Performance: Markowitz Model and Index Model in Capital Markets

In the post-pandemic era, marked by economic uncertainty and stock market volatility, investors are turning to Modern Portfolio Theory (MPT) to guide their investment decisions. This study aims to develop a robust mathematical framework for portfolio construction using the Markowitz Model (MM) and the Index Model (IM) with added constraints. The objectives are threefold: (1) to create a portfolio framework that reflects investor preferences using MM and IM with additional constraints, (2) to compare these models against the Gaussian Distribution using Python and Excel, (3) to compare the statistical data and correlation tests of daily logarithmic returns in Python with monthly excess returns in Excel, and (4) to evaluate their performance relative to the traditional Markowitz approach through Monte Carlo simulations.The methodology involves incorporating five additional constraints into the MM and IM models. The analysis uses 20 years of historical daily return data for ten stocks from various sectors, one equity index (S&P 500) as a risk-free rate proxy (1-month Fed Funds rate). Daily logarithmic returns are analyzed using Python, while Excel Solver and Solver Table are employed for monthly excess return data.

Analisis Diversifikasi, Merger, dan Akuisisi Perusahaan

This research aims to analyze the diversification, mergers and acquisitions of manufacturing companies in Indonesia. The research method used is descriptive qualitative analysis with a literature study approach. The results show that the diversification analysis was developed with various objectives including increasing growth when the existing market/product has reached a maturity stage, maintaining stability by spreading the risk of profit fluctuations, increasing credibility in the capital market, to avoid dependence on a single item or product in circulation. in the market, fulfill the wishes of unsatisfied consumers, increase the attractiveness or interest of consumers, increase sales turnover, increase profits by using the same ingredients, and prevent consumer boredom. Keywords: Diversification, Mergers, and Company Acquisitions.

Risk and Opportunity of Diageo: PESTEL and SWOT Analysis

This research talks about Diageo, the world-famous wine factory, and analyses the risks and opportunities through PESTEL Analysis and SWOT Analysis. The market capitalization, the timing and results of new projects, and the number of brands and revenue are collected from Yahoo finance and the company’s 2024 annual financial report. According to these analysis methods, this research believes that Diageo still possesses a strong power to keep going toward long-term prosperity as the world economy improves, even though there are some legal disputations. Diageo’s huge number of brands and complete production chain can help Diageo avoid risks to a large extent or stop the risk from expanding further. These capabilities result from Diageo’s long-term accumulation and strong management capabilities. This research provides an investment recommendation to investors interested in Diageo and provides a useful method to evaluate the business’s performance and the risks and opportunities it faces.

The Impact of Investor Sentiment on Corporate Financial Decision-making: Taking New Media Platforms as an Example

In accordance with the theory of asymmetry, this article studies the impact of investor sentiment on the proportion of corporate accounts receivable. During the research process, 2617 listed companies in the Shanghai and Shenzhen A-share markets from 2011 to 2022 were selected as samples. The article constructs a multiple regression model, selects investor sentiment as the core explanatory variable, accounts receivable ratio as the dependent variable, and adds revenue growth rate, largest shareholder shareholding ratio, price to book ratio, and cash flow ratio as control variables. Descriptive statistics, analysis of Correlation, test of collinearity, analysis of regression, test of heterogeneity, and analysis of robustness are used to explore the financial indicators and financial decisions of enterprises; Research has indicated that a negative correlation exists between investor sentiment and the proportion of corporate accounts receivable. Meanwhile, there are also certain differences between state-owned enterprises and non-state-owned enterprises. Based on this, this article proposes relevant improvement suggestions for enterprises, investors, and regulatory authorities, which will help facilitate the healthy and stable development of the capital market.

The Impact of Financial Technology on Accounting Measurement to Enhance Capital Markets to Reduce Tax Avoidance: An Empirical Study

Many countries of the world have turned to the use of financial technology in advanced economies, as this trend imposed by the fourth technology revolution that the world has known in recent years has allowed to improve the quality of financial services provided to the public of customers, reduce their cost, and provide them to the class of customers that were previously financially excluded. FinTech applications have replaced the human factor in financial institutions and financial systems in general, from managing financial risks, providing financial services to clients, and other tasks that require processing a huge amount of information and data, in a way that enhances the role played by financial technology innovations in Preparing and presenting the financial statements of companies providing these services quickly and with high accuracy in accordance with the requirements of the International Financial Reporting Standards (IFRS), in a way that contributes to reducing financial corruption and audit failures, and limits tax avoidance, and that financial technology innovations lead to adaptation with electronic tax systems, and the researcher prepared An applied study on a sample of financial technology companies, and it became clear to the researcher the existence of a set of challenges represented in accounting and tax problems, the researcher provided solutions to them, and the researcher prepared a field study on the same sample, and it was found from the statistical study, the rejection of the study’s hypotheses and therefore there are no differences between the categories The study was based on the outputs of the SPSS program, Chi-Square, and the study ended with a set of results and recommendations.

Corporate Boards and Firm Value: Evidence from Nigeria

Aim: The basis for the formation of the corporate board is to, among others, give strategic direction to the firm, monitor the activities of the salaried agents and reduce the likelihood of disincentive to investment. The aim of this study is to examine the efficacy of corporate boards in relation to the value of firms listed in Nigeria. Study Design and Methodology: It is a cross-sectional research design that empirically examined the influence of board mechanisms and Tobin’s Q of firms listed on the Nigerian Stock Exchange. The study used annual data of a panel sample of 85 firms from 2004 through 2023, It applied a Generalized Least Squares (GLS) econometric technique. Place and Duration of Study: This study examined the role of the boards of firms listed on the Nigerian Stock Exchange between 2004 and 2023. Results: The findings argued in favour of smaller boards, increased board independence and higher market capitalisation since they showed significant improvements in value of the firms in the sample. The findings imply that smaller boards that are highly independent tend to have better corporate governance and thus, superior firm value. Conclusion: In conclusion, the results advocate that the regulatory agencies and boards of the studied firms enact policies that will encourage minimum board sizes that are sufficiently independent.

Applications of Neuro Deep Learning Models in Predictive Data Analytics for the Movements and Trends of the Indian Stock Market: Financial Data Mining, Nonlinearity, and Quantum Finance

The financial world of today is high-frequency data-driven and characterized by the application and use of information technology for better business development and decision-making. The price movements of stock markets are mainly influenced by micro and macroeconomic variables, legal frameworks, and taxation policies of the respective economies. The crux of the issue lies in exactly forecasting the future stock price movements of individual firms, based on historical prices. Achieving accuracy for forecasting the market trend has become difficult due to the prevalence of stochastic behaviour in the stock market and volatility in the stock prices. This paper analyzes the stochastic movement pattern of the highly volatile thirty individual company stocks (in terms of market capitalization) of BSE-Sensex, using the Neuro Deep Learning method, a model of deep learning approach. The findings of the study would help the investors, to make rational and well-informed investment decisions, and to optimize the returns by investing in the most valuable stocks of listed corporate enterprises.

Effect of capital market on economic growth: An analysis using the autoregressive distributed lag (ARDL) approach

The limits testing method known as ARDL (Autoregressive Distributed Lag) examines Nigerian capital market improvement and monetary development. Relevant indicators about the capital market are taken into account during analysis while considering influencing factors as well. This study aims to explore the relationship between the capital market and financial development in Nigeria. The study’s theoretical framework, which is based on the ARDL framework, includes both short- and long-term dynamics. The data used in this analysis was collected from the Central Bank of Nigeria (CBN), the World Bank database, and the Nigerian Stock Exchange (NSE). In this study, the Nigerian All-Share Index, foreign direct investment, currency exchange rates, and inflation rates are the free factors, while the increase in GDP is the dependent factor. Through cointegration analysis using the ARDL framework, it was discovered that in Nigeria there’s a lengthy equilibrium correlation between economic expansion and financial development. The coefficients determined allow for a deeper understanding of how capital market factors affect economic growth over time. Furthermore, utilizing an error correction model derived from the ARDL analysis offers insight into both brief dynamics and modified speed toward reaching a lasting state of balance. By utilizing the ARDL approach, this study adds to the continuing discourse surrounding how capital markets impact growth in Nigeria. Its empirical evidence provides valuable knowledge for policymakers and stakeholders looking to utilize capital markets effectively toward achieving long-lasting economic development within the country.

IMPACT OF STOCK PRICE FLAKINESS ON DEVELOPMENT OF NIGERIAN EXCHANGE GROUP

This study is aimed to investigate what is happening in the Nigeria Stock Market under its new name, “Nigeria Exchange Group”, with respect to the uncertainty nature of share price behaviour in the capital market. Hence, the month end stock prices of four listed consumer companies from the period January 2017 to December 2022 were used as proxies. The study made use of the Autoregressive Conditional Heteroskedasticity (ARCH) to estimate and find out the presence of the volatility. The study identified the presence of volatility in all the four consumer stock prices used, while the volatility of stock price was then regressed against stock prices to determine their certainty. The results however revealed that out of the four consumer goods companies, only two consumer goods companies’ stock prices were predicted by volatility, while past stock prices predicted current stock prices implying that the market does not follow a random walk. The study therefore recommended that activities of corporate insiders should be critically scrutinized to reduce the predictability of stock prices. Also, that Information should be made available and in clear terms to stakeholders and all investors in particular. Also, that policy makers should carefully review their economic policies in their use of the Nigerian bourse as a barometer to measure performance in the general economy to avoid misleading the investing public.

FINANCIAL DEEPENING AND ECONOMIC GROWTH: EVIDENCE FROM BANGLADESH

The present study investigated the causal impact of financial deepening on economic growth in Bangladesh for the period of 1990 to 2022 applying cointegration analysis. The ratio of broad money to GDP, private sector credit to GDP and stock market capitalization to GDP used as proxies for financial deepening indicators in this study. Using Johansen co-integration test, the result of the study explored a positive and statistically significant relationship in the long run among the broad money to GDP, private sector credit to GDP, stock market capitalization to GDP and economic growth. Moreover, the error correction term supported the long-run association, and the variables adjust to their long-run equilibrium. The findings suggested that policymakers should promote policies that increase the money supply and market capitalization and ensure the private sector credit is channeled to the more productive sector which would help to support and boost economic growth in Bangladesh.

Adaptive Market Hypothesis: Evidence from Sharia Stocks in Asian countries

Research Originality: The adaptive market hypothesis, which is a new way to test capital market performance that reconciles the efficient market hypothesis (EMH) with behavioral finance, is the focus of our research. Our study's novelty lies in testing the efficiency of the Islamic capital market in six Asian countries: Bangladesh, India, Indonesia, Malaysia, Pakistan, and Thailand, over different periods: before, during, and after the COVID-19 pandemic.Research Objectives: We aim to delve into its application in the Islamic capital market, which has seen significant growth in recent years.Research Methods: We employed the variance ratio test, the ARIMA model, and the Elman neural network to test efficiency.Empirical Result: Our findings revealed that the efficiency of sharia indices in these countries was not constant over the three periods, thereby supporting the existence of the adaptive market hypothesis.Implications: The results of this study are not only important for academic discourse but also offer practical applications for investors to refine their investment strategies, engaging the audience in a discussion on Islamic capital market efficiency.JEL Classification: G02, G14, G15

The Effect of Mergers and Acquisitions on the Financial Performance Companies listed on the Indonesia Stock Exchange for the 2020-2022 period

This research aims to determine the effect of mergers and acquisitions on company financial performance in companies listed on the Indonesia Stock Exchange. The data collection method used in this research is a purposive sampling technique, based on existing criteria, there are 30 sample companies. The company's financial performance is measured using financial ratios, namely: Return On Assets (ROA), Current Ratio (CR) and Debt To Asset Ratio (DAR). The analytical method used in this research is the T-test difference analysis and the Wilcoxon signed rank test. The research results show that companies that carry out mergers and acquisitions in 2020-2022 with an average period of 1 year before and 1 year after the merger and acquisition show that there is no difference in profitability as indicated by Return On Assets (ROA), liquidity as indicated by Current Ratio (CR), solvency shown by Debt To Asset Ratio (DAR), before and after mergers and acquisitions. This research was conducted incompanies that carry out mergers and acquisitions in 2020-2022 and are listed on the Indonesian Stock Exchange. This study provides an in-depth understanding of how mergers and acquisitions affect the financial performance of companies in the Indonesian capital market. Therefore, stakeholders such as investors, company managers, regulators and academics can gain a better understanding of the impact of merger and acquisition activities on the Indonesian economy. There has been no research regarding the effect of mergers and acquisitions on financial performance in the 2020-2022 period in Indonesia. This knowledge gap is the reason for conducting this research.

Issues and Challenges of the Digitisation of the Capital Market in India

Governance involves the use of political, economic, and administrative power to manage a nation's affairs and ensure citizens' rights. E-governance utilizes electronic means for efficient, transparent public service delivery. India's National e-Governance Plan (NeGP) aims to enhance governance through a Public-Private Partnership (PPP) model, establishing over 100,000 Common Service Centres (CSCs). These CSCs act as delivery hubs for public and private services, addressing regional development while fostering private sector and community participation for sustainable livelihoods. Mitigating the challenges of digitization requires raising user awareness and advancing the regulatory system through the use of cybersecurity practices