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353 result(s) for "efficient structure hypothesis"
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The relationship between technical efficiency, firm growth and market structure in the Indonesian palm oil industry
This research investigates the relationship between efficiency and firm growth as well as the relationship between firm growth and market structure (CR4) to evaluate whether the quiet-life (QL) and/or efficient structure (ES) hypothesis applies in the Indonesian palm oil industry. This study uses large and medium industry survey data sourced from the Indonesian Bureau of Central Statistics (BPS) for the period from 1990 to 2017. The efficiency score is calculated using data envelopment analysis (DEA) using a bootstrapping approach. The two-step generalized method of moments (GMM) and panel vector auto regression (PVAR) are used to test the two hypotheses. The results show that technical efficiency can increase a firm's market share, market concentration, and market power. These results support the ES hypothesis. This research also finds that market structure (CR4) has an impact on firm efficiency, providing evidence supporting the QL hypothesis. These results indicate that the ES and QL hypotheses apply in Indonesia during a business cycle that needs to be considered by policymakers.
Market share and financial results of insurance companies: The case of the UE-15 countries
Objective: The objective of the article is to examine the relationship between insurance market share and the financial results of insurance companies. We formulated the following research question: Is an insurance com- pany’s market position (market share) influenced by its financial results? If so, which ones?Research Design Methods: The scope of research covers insurance companies operating in the insurance markets of the EU-15 countries. We surveyed the insurance companies with the largest market share. The research period covered the years 2012-2021. We compiled the data on the insurance markets of the EU-15 countries based on the OECD Statistics database and the financial data characterising the insurance companies selected for the study – based on the ORBIS Database. We used STATISTICA 13 and GRETL software to compile the survey results. We used the method of analysis of scientific literature – domestic and foreign, statistical and econometric methods and own observations.Findings: The research has made it possible to answer the research questions. Financial results influence the market position of an insurance company. This means that financial performance was one of the determinants of an insurance company’s market position. This is indicated both by the analysis of the literature on the subject, where some studies confirm the existence of a relation between market position, measured by insurance market share, and the financial results of insurance companies and by our research covering the EU-15 insurance market. Implications Recommendations: The research conducted will serve insurance companies and insurance market institutions – in financial management strategies, as well as by policyholders and beneficiaries of in- surance contracts, i.e. consumers – in consumer decision-making.Contribution Value Added: The study fills a research gap in the determinants of the efficiency of insurance companies and, in particular, the issue of the relation between the market share of a single operator and its financial results. They also contribute to the development of research in insurance finance falling within the discipline of economics and finance. The study of a homogeneous group of insurance companies – with the largest share in a given national market – as well as the study of the insurance market of the EU-15 countries, which should be considered stable with an established market structure, should be regarded as innovative.
Competition, Contestability and Market Structure for Securities Firms in Taiwan
The purpose of this study is to investigate securities firms’ market structure and contestability in Taiwan over the period from 1998 to 2006. This is the first study to integrate structural and non-structural approaches to the evaluation of competitive conditions in securities firms. The findings of this study have managerial implications, as the results show that market share is positively related to profitability but negatively related to efficiency, implying that the pursuit of market share may not be an appropriate strategy for securities firms. Empirical results show that securities firms are not in perfect competition and that the market is instead characterised by monopolist competition. The results regarding changes in the degree of competition show that securities firms’ competitive condition is not improving. The government is to advance a serial of financial reform policies, but they do not affect securities firms, so the market remains a monopolist competitive environment with a lower level of contestability.
Market Share Inequality, the HHI, and Other Measures of the Firm-Composition of a Market
Data for individual markets suggest that the Herfindahl-Hirschman Index does not fully account for the inequality of market shares and the number of firms in a market. An empirical investigation is conducted to determine whether share inequality, number of firms, and major firm presence affect market profit rates independent of the HHI. The analysis controls for efficiency, among other things. Test results based on 1,684 banking markets during 1990-1992 indicate that the HHI, market share inequality, and the importance of major firms are positively related and the number of firms is negatively related to profit rates. Results on several other variables also suggest that market imperfections exist in local banking markets.
Ownership structure and innovation: An emerging market perspective
Considerable attention has been focused on the ways in which emerging market firms can obtain and mobilize the knowledge and resources required for innovation. Innovation is a particular challenge in emerging markets because of inadequate external institutions. In this study, we focus on the importance of ownership structure, and in particular on ownership type diversity and ownership concentration. Using transaction cost and agency theories embedded in an emerging market context, we argue that ownership structure provides an important mechanism by which firms can assemble and direct the resources necessary for innovation in the context of inadequate external institutions. Specifically, we hypothesize that ownership type diversity improves innovation performance and that increasing ownership concentration has the same effect, but only up to a point. Using a panel dataset of 487 and 475 Chinese listed companies during 2004–2005 and 2005–2006 respectively, we find supportive empirical evidence for our hypotheses. Our findings also suggest that ownership type diversity is a more important factor in explaining innovation performance than ownership concentration, although most of the extant literature focuses on the latter.
Alliance capability, stock market response, and long-term alliance success: the role of the alliance function
This paper addresses two key questions: (1) what factors influence firms' ability to build alliance capability and enjoy greater alliance success, where firm-level alliance success is measured in two ways: (a) abnormal stock market gains following alliance announcements and (b) managerial assessments of long term alliance performance; and (2) are the two alternate ways of assessing alliance success correlated? We find that firms with greater alliance experience and, more importantly, those that create a dedicated alliance function (with the intent of strategically coordinating alliance activity and capturing/disseminating alliance-related knowledge) realize greater success with alliances. More specifically, firms with a dedicated alliance function achieve greater abnormal stock market gains (average of 1.35%) and report that 63 percent of alliances are successful whereas firms without an alliance function achieve much lower stock market gains (average of 0.18%) and only a 50 percent long-term success rate. We also find a positive correlation between stock market-based measures of alliance success and alliance success measured through managerial assessments. In addition to providing insights into the development of alliance capability among firms, this paper is one of the first to provide empirical support for the efficient markets argument by demonstrating that the initial stock market response to a key event positively correlates to the long-term performance and value of the event.
STRATEGIC TRADING IN INFORMATIONALLY COMPLEX ENVIRONMENTS
We study trading behavior and the properties of prices in informationally complex markets. Our model is based on the single-period version of the linear-normal framework of Kyle (1985). We allow for essentially arbitrary correlations among the random variables involved in the model: the value of the traded asset, the signals of strategic traders and competitive market makers, and the demand from liquidity traders. We show that there always exists a unique linear equilibrium, characterize it analytically, and illustrate its properties with a number of applications. We then use this characterization to study the informational efficiency of prices as the number of strategic traders becomes large. If liquidity demand is positively correlated (or uncorrelated) with the asset value, then prices in large markets aggregate all available information. If liquidity demand is negatively correlated with the asset value, then prices in large markets aggregate all information except that contained in liquidity demand.
Commemorating the 50-Year Anniversary of Ball and Brown (1968): The Evolution of Capital Market Research over the Past 50 Years
We commemorate the 50th anniversary of Ball and Brown [1968] by chronicling its impact on capital market research in accounting. We trace the evolution of various research paths that post-Ball and Brown [1968] researchers took as they sought to build on the foundation laid by Ball and Brown [1968] to create a body of research on the usefulness, timeliness, and other properties of accounting numbers. We discuss how those paths often link back to the groundwork laid and questions originally posed in Ball and Brown [1968].
Employee Flexibility, Exogenous Risk, and Firm Value
We hypothesize that employee flexibility enhances firm value by helping firms respond to exogenous shocks. We estimate employee-flexibility scores through textual analysis of online job reviews, and we find that a high flexibility score leads to superior stock returns for firms exposed to external risk. During 2011–2017, the value-weighted hedge portfolio formed on employee flexibility earned a 5-factor annualized alpha of 9.5% during periods of high policy uncertainty. Earnings-announcement returns also suggest that investors do not fully value workforce flexibility. These results indicate that employee flexibility is a valuable corporate intangible that helps firms to manage risk during uncertain times.
Multifractal Detrended Cross-Correlations between Green Bonds and Commodity Markets: An Exploration of the Complex Connections between Green Finance and Commodities from the Econophysics Perspective
Green bonds represent a compelling financial innovation that presents a financial perspective solution to address climate change and promote sustainable development. On the other hand, the recent process of financialisation of commodities disrupts the dynamics of the commodity market, increasing its correlation with financial markets and raising the risks associated with commodities. In this context, understanding the dynamics of the interconnectivity between green bonds and commodity markets is crucial for risk management and portfolio diversification. This study aims to reveal the multifractal cross-correlations between green bonds and commodities by employing methods from statistical physics. We apply multifractal detrended cross-correlation analysis (MFDCCA) to both return and volatility series, demonstrating that green bonds and commodities exhibit multifractal characteristics. The analysis reveals long-range power-law cross-correlations between these two markets. Specifically, volatility cross-correlations persist across various fluctuations, while return series display persistence in small fluctuations and antipersistence in large fluctuations. These findings carry significant practical implications for hedging and risk diversification purposes.