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Deep learning with small and big data of symmetric volatility information for predicting daily accuracy improvement of JKII prices 利用对称波动信息的小数据和大数据进行深度学习,预测JKII价格的每日准确性提高
Pub Date : 2022-05-06 DOI: 10.1108/jcms-12-2021-0041
Mohammed Ayoub Ledhem
PurposeThe purpose of this paper is to predict the daily accuracy improvement for the Jakarta Islamic Index (JKII) prices using deep learning (DL) with small and big data of symmetric volatility information.Design/methodology/approachThis paper uses the nonlinear autoregressive exogenous (NARX) neural network as the optimal DL approach for predicting daily accuracy improvement through small and big data of symmetric volatility information of the JKII based on the criteria of the highest accuracy score of testing and training. To train the neural network, this paper employs the three DL techniques, namely Levenberg–Marquardt (LM), Bayesian regularization (BR) and scaled conjugate gradient (SCG).FindingsThe experimental results show that the optimal DL technique for predicting daily accuracy improvement of the JKII prices is the LM training algorithm based on using small data which provide superior prediction accuracy to big data of symmetric volatility information. The LM technique develops the optimal network solution for the prediction process with 24 neurons in the hidden layer across a delay parameter equal to 20, which affords the best predicting accuracy based on the criteria of mean squared error (MSE) and correlation coefficient.Practical implicationsThis research would fill a literature gap by offering new operative techniques of DL to predict daily accuracy improvement and reduce the trading risk for the JKII prices based on symmetric volatility information.Originality/valueThis research is the first that predicts the daily accuracy improvement for JKII prices using DL with symmetric volatility information.
本文的目的是利用对称波动信息的小数据和大数据的深度学习(DL)来预测雅加达伊斯兰指数(JKII)价格的每日准确性提高。设计/方法/ approachThis纸使用非线性自回归外生(NARX)神经网络作为预测每天的最佳DL方法精度改进通过小和大数据JKII对称波动信息的准确性分数最高的国家标准的基础上测试和培训。为了训练神经网络,本文采用了三种深度学习技术,即Levenberg-Marquardt (LM)、贝叶斯正则化(BR)和缩放共轭梯度(SCG)。实验结果表明,基于小数据的LM训练算法是预测JKII价格日精度提高的最佳深度学习技术,该算法比对称波动信息的大数据具有更好的预测精度。LM技术发展预测过程的最优网络解决方案和24个隐层神经元延迟参数等于20,它提供了最好的预测精度标准的基础上均方误差(MSE)和相关系数。本研究通过提供新的深度学习操作技术来预测基于对称波动信息的JKII价格的每日准确性提高并降低交易风险,从而填补了文献空白。原创性/价值本研究首次使用具有对称波动信息的DL预测JKII价格的每日准确性改进。
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引用次数: 1
Stock market development and agricultural growth of emerging economies in Africa 非洲新兴经济体的股票市场发展与农业增长
Pub Date : 2022-02-17 DOI: 10.1108/jcms-12-2021-0038
C. A. Ngong, Kesuh Jude Thaddeus, Lionel Tembi Asah, G. Ibe, J. Onwumere
PurposeThis research investigates the bond between stock market development and agricultural growth in African emerging economies from 1990 to 2020.Design/methodology/approachAgricultural value added to the gross domestic product measures agricultural growth and market capitalization and stock value traded measure stock market development.FindingsThe findings disclose that market capitalization negatively affects agricultural growth while stock value traded positively affects agricultural growth in the fully modified and dynamic ordinary least square techniques. The findings unveil bidirectional causality between labour and agricultural value added with unidirectional causality flow from agricultural value added to market capitalization and stock value traded.Research limitations/implicationsThe governments should promote agricultural growth initiatives which stimulate stock market development. Effective methods required to encourage credit flow to the agricultural enterprises through the stock markets' intermediation should be promoted using aggressive policies which eliminate credit flow bottlenecks. Policy makers and regulatory authorities should implement policies which attract investors to the agricultural sector and encourage companies' listing in the stock markets. The capital market funding should be expanded to boost economic growth through agricultural value added.Originality/valueLiterature reveals divergent results on the relationship between stock market development and agricultural growth. Earlier studies provide conflicting findings on the bond between stock market development and agricultural growth. Some findings indicate positive link between stock market development and agricultural growth, while others show a negative association. Studies' results reveal opposing directions of causality between stock market development and agricultural growth.
目的研究1990 - 2020年非洲新兴经济体股票市场发展与农业增长之间的关系。国内生产总值中的农业增加值衡量农业增长,市场资本化和股票交易价值衡量股票市场发展。研究发现:在完全修正和动态普通最小二乘技术下,市值对农业增长有负向影响,而股票交易价值对农业增长有正向影响。研究结果揭示了劳动力与农业增加值之间的双向因果关系,以及农业增加值与市值和股票交易价值之间的单向因果关系。研究局限/启示政府应推动刺激股市发展的农业增长计划。应采用消除信贷流动瓶颈的积极政策,促进通过股票市场中介鼓励信贷流向农业企业所需的有效方法。政策制定者和监管当局应实施吸引投资者进入农业部门的政策,并鼓励公司在股票市场上市。扩大资本市场融资,通过农业增值带动经济增长。在股票市场发展与农业增长的关系上,文献显示出不同的结果。早期的研究对股票市场发展与农业增长之间的关系提供了相互矛盾的发现。一些研究结果表明,股市发展与农业增长之间存在正相关关系,而另一些研究结果则显示出负相关关系。研究结果揭示了股票市场发展与农业增长之间的反向因果关系。
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引用次数: 6
Technical trading rules' profitability and dynamic risk premiums of cryptocurrency exchange rates 技术交易规则的盈利能力与加密货币汇率的动态风险溢价
Pub Date : 2022-02-01 DOI: 10.1108/jcms-10-2021-0030
Khumbulani L. Masuku, T. Gopane
PurposeThe study considers time-varying risk premium in investigating the capability of technical analysis (TA) to predict and outperform a buy–hold strategy in Bitcoin exchange rate returns.Design/methodology/approachThe study tests the technical trading rule of fixed moving average (FMA) on daily actual and equilibrium returns of Bitcoin exchange rates. The equilibrium returns are computed using dynamic CAPM in conjunction with a VAR-MGARCH (1, 1) system. The empirical evaluation of the study uses a case study of four Bitcoin exchange rates (BTC/AUD, BTC/EUR, BTC/JPY and BTC/ZAR) for the period 19 June 2010 to 30 October 2020.FindingsThe findings are consistent with related studies in conventional foreign exchange markets that find TA to be profitable, especially in emerging markets. Nevertheless, the consideration of risk premium has the effect of reducing the abnormal returns. Also, further robust tests reveal that Bitcoin returns possess a momentum effect which prompts further study in efficient market hypothesis research.Practical implicationsThe empirical findings of this study should benefit portfolio managers and active investors on the strength of TA to predict returns in a speculative market like the Bitcoin exchange rate market.Originality/valueThe study takes cognisance that cryptocurrency trading is speculative in nature which renders it a good candidate for TA methods. While there are studies that have explored the value of TA in Bitcoin exchange rates, these studies fail to incorporate the effects of time-varying risk premiums, the strength and focus of the current paper.
本研究考虑时变风险溢价来研究技术分析(TA)预测和超越比特币汇率回报买入持有策略的能力。设计/方法/方法本研究测试了固定移动平均线(FMA)对比特币汇率每日实际和均衡收益的技术交易规则。利用动态CAPM结合VAR-MGARCH(1,1)系统计算均衡收益。该研究的实证评估使用了2010年6月19日至2020年10月30日期间四种比特币汇率(BTC/AUD, BTC/EUR, BTC/JPY和BTC/ZAR)的案例研究。这些发现与传统外汇市场的相关研究一致,这些研究发现TA是有利可图的,尤其是在新兴市场。然而,考虑风险溢价有降低异常收益的作用。此外,进一步的稳健测试表明,比特币收益具有动量效应,这促使在有效市场假设研究中进一步研究。本研究的实证结果应该有利于投资组合经理和积极投资者利用TA的力量来预测比特币汇率市场等投机市场的回报。独创性/价值该研究认识到加密货币交易本质上是投机的,这使其成为TA方法的良好候选者。虽然有研究探讨了TA在比特币汇率中的价值,但这些研究未能纳入时变风险溢价的影响,这是本文的优势和重点。
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引用次数: 3
A comparison of international market indices for measuring market efficiency based on price-volume relationship 基于价量关系的衡量市场效率的国际市场指标比较
Pub Date : 2022-01-31 DOI: 10.1108/jcms-11-2021-0037
Sunay Çıralı
PurposeThe main purpose of the research is to determine if the relationship between trading volume and price changes is connected to market effectiveness and to use the volume-price relationship to compare the efficiency levels of foreign markets. The degree of the relationship is determined in this study, and the efficiency levels of different countries' capital markets are compared.Design/methodology/approachIn this study, 1,024 observations are used as a data set, which includes daily closing prices and trading volume in the stock market indices of 25 countries between the dates of 01.12.2016 and 31.12.2020. In the first step of the analysis, descriptive statistics of price and volume series are examined. The stationarity of the series is then controlled using the ADF unit root test. Simple linear regression models with the dependent variable of trading volume are generated for all stock market indices after each series has reached stationarity, and the ARCH heteroscedasticity test is used to determine whether these models contain the ARCH effect. Because all models have the ARCH effect, autoregressive models are chosen, and EGARCH models are conducted for all indices to see whether there is an asymmetry in the price-volume relationship.FindingsThe study concludes that the stock market in the United States is the most effective, since it has the strongest relationship between trading volume and price changes. However, because of the financial distress caused by the COVID-19 pandemic, the relationship between price and trading volume is lower in Eurozone countries. The price-volume relationship could not be observed in some shallow markets. Furthermore, whereas the majority of countries have a negative relationship between price changes and transaction volume, China, the United Arab Emirates and Qatar have a positive relationship. When prices rise in these countries, investors buy with the sense of hope provided by the optimistic atmosphere, and when prices fall, they sell with the fear of losing money.Research limitations/implicationsThe study's most significant limitation is that it is difficult to ascertain a definitive conclusion about the subject under investigation. In reality, if the same research is done using data from different countries and time periods, the results are quite likely to vary.Practical implicationsAs a result of the study, investors can decide which market to enter by comparing and analyzing the price-volume relationship of several markets. According to the study's findings, investors are advised to examine the price-volume relationship in a market before beginning to trade in that market. In this way, investors can understand the market's efficiency and whether it is overpriced.Social implicationsThe relationship between price movements and trade volume gives crucial information about a capital market's internal structure. Some concerns can be answered by assessing this relationship, such as whether the market has a s
研究的主要目的是确定交易量和价格变化之间的关系是否与市场有效性有关,并使用量价关系来比较国外市场的效率水平。本研究确定了这种关系的程度,并比较了不同国家资本市场的效率水平。设计/方法/方法在本研究中,使用1,024个观察值作为数据集,其中包括25个国家的股票市场指数在2016年12月1日至2020年12月31日之间的每日收盘价和交易量。在分析的第一步,考察了价格和数量系列的描述性统计。然后使用ADF单位根检验控制序列的平稳性。在各序列达到平稳性后,对所有股市指数生成以交易量为因变量的简单线性回归模型,并使用ARCH异方差检验来确定这些模型是否包含ARCH效应。由于所有模型都有ARCH效应,所以选择自回归模型,对所有指标进行EGARCH模型,看价量关系是否存在不对称性。该研究得出结论,美国的股票市场是最有效的,因为它的交易量和价格变化之间的关系最强。然而,由于新冠肺炎疫情造成的金融困境,欧元区国家的价格与交易量之间的关系较低。在一些浅层市场中,无法观察到价格与数量的关系。此外,虽然大多数国家的价格变化与交易量之间存在负相关关系,但中国,阿拉伯联合酋长国和卡塔尔之间存在正相关关系。当这些国家的价格上涨时,投资者带着乐观气氛带来的希望买入,当价格下跌时,他们因担心赔钱而卖出。研究的局限性/意义这项研究最大的局限性是很难对被调查对象得出明确的结论。实际上,如果同一项研究使用来自不同国家和不同时期的数据,结果很可能会有所不同。研究的结果是,投资者可以通过比较和分析几个市场的价量关系来决定进入哪个市场。根据这项研究的发现,建议投资者在开始交易一个市场之前,先研究一下这个市场的价量关系。通过这种方式,投资者可以了解市场的效率,以及市场是否被高估。社会含义价格变动和交易量之间的关系提供了关于资本市场内部结构的重要信息。有些问题可以通过评估这种关系来回答,例如市场是否存在投机性定价问题,信息如何流向市场,以及投资决策是否理性和同质。另一方面,对这种关系建模的实证研究还没有得出明确的结果。其主要原因是价量关系随市场结构而波动。本研究的目的是填补空白,提出的原因,这一关键问题在文献中不能回答,以及实证研究结果。独创性/价值本研究的意义和独创性在于,它考察了价格-数量关系,以评估各种市场的效率水平。一些跨国研究正在调查这种关系。另一方面,这些研究是为了了解交易量和市场波动之间是否存在关系,如果存在,这种相互作用是如何形成的。与以往的文献研究不同,本研究强调了价格和数量关系的大小。
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引用次数: 0
Stock market development: a reflection of governance regulatory framework in Nigeria 股票市场发展:尼日利亚治理监管框架的反映
Pub Date : 2021-12-24 DOI: 10.1108/jcms-07-2021-0022
Fisayo Fagbemi, O. Adeosun, K. Bello
PurposeThe article examines the possible long-run and short-run impact of regulatory quality on stock market performance in Nigeria for 1996–2019 period.Design/methodology/approachThe study adopts autoregressive distributed lag (ARDL) bounds test and cointegrating regression techniques.FindingsFindings reveal that regulatory quality positively and significantly influences the performance of stock market, which strengthens the view that market-enhancing governance can engender an improvement in stock market performance. The study further demonstrates that quality of the regulatory environment is a critical component of market operations, since the improvement of the operation of stock market performance depends on appropriate policy measures, which could be the outcome of improved governance.Practical implicationsIt is suggested that, while improving the institutional environment is a challenge to regulators, there is need for strong and effective regulatory mechanism to enhance the development of stock market in the country.Originality/valueBased on the two competing hypotheses and limited attention, previous studies accorded the role of regulatory quality in the performance of stock market in the context of Nigeria. This study assessed the gap in the literature by taking the task of validating the impact of regulatory quality on stock market development.
本文考察了1996-2019年期间监管质量对尼日利亚股市表现可能产生的长期和短期影响。设计/方法/方法本研究采用自回归分布滞后(ARDL)界检验和协整回归技术。研究发现:监管质量对股票市场绩效有显著的正向影响,强化了市场强化型治理能够促进股票市场绩效改善的观点。研究进一步表明,监管环境的质量是市场运作的一个关键组成部分,因为股票市场运作绩效的改善取决于适当的政策措施,这可能是改善治理的结果。本文认为,虽然改善制度环境对监管机构来说是一个挑战,但需要强有力和有效的监管机制来促进我国股票市场的发展。原创性/价值先前的研究基于两个相互竞争的假设和有限的关注,在尼日利亚的背景下,对监管质量在股票市场表现中的作用给予了认可。本研究通过验证监管质量对股票市场发展的影响来评估文献中的差距。
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引用次数: 0
Investigating the relationship between bank performance and accounting standards: evidence from M&As in European banking 调查银行绩效与会计准则之间的关系:来自欧洲银行业并购的证据
Pub Date : 2021-12-17 DOI: 10.1108/jcms-10-2021-0032
A. Akgün
PurposeThe study aims to identify whether international financial reporting standards (IFRS) or local generally accepted accounting principles (GAAP) reporting provides investors and senior management of acquirer banks with superior information on target banks under post-merger bank performance.Design/methodology/approachThe authors examine the claim that IFRS improves corporate transparency and increases financial reporting quality in European Bank merger and acquisitions (M&As). The authors compare the financial performance of merged banks where the target and acquirer banks employed the same reporting system (up to 305 merged banks) to the performance of a control group of banks not engaged in M&A activity (up to 1,690 European banks).FindingsLocal GAAP reporting allows a more transparent assessment of financial performance using traditional indicators, making it a superior tool for assessing potential acquisition targets.Practical implicationsOverall, the empirical findings are consistent with prior studies and indicate a significant relationship between local GAAP and post-merger performance, while IFRS does not contribute to post-merger bank performance.Originality/valueThe study is one of the very few studies to investigate the relationship between bank performance, M&A activity and accounting standards in EU-28 countries. The primary contribution the finding of poor performance of IFRS reporting merged banks compared to local GAAP banks in EU-28 countries in line with prior results of Huian (2012). In addition, several deal- and bank-specific characteristics that affect accounting standards influence M&A transactions in European banks.
本研究旨在确定国际财务报告准则(IFRS)或当地公认会计原则(GAAP)报告是否为收购银行的投资者和高级管理层提供了并购后银行业绩下目标银行的优越信息。设计/方法/方法作者检验了国际财务报告准则在欧洲银行并购(M&As)中提高公司透明度和提高财务报告质量的说法。作者比较了目标银行和收购银行采用相同报告系统的合并银行(最多305家合并银行)与不参与并购活动的对照组银行(最多1690家欧洲银行)的财务业绩。本地公认会计准则报告允许使用传统指标对财务业绩进行更透明的评估,使其成为评估潜在收购目标的优越工具。总体而言,实证结果与先前的研究一致,表明当地GAAP与合并后绩效之间存在显著关系,而国际财务报告准则对合并后银行绩效没有贡献。该研究是调查欧盟28国银行绩效、并购活动和会计准则之间关系的极少数研究之一。主要贡献是发现IFRS报告合并银行与欧盟28个国家的当地GAAP银行相比表现不佳,这与Huian(2012)的先前结果一致。此外,影响会计准则的一些交易和银行特有的特征也会影响欧洲银行的并购交易。
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引用次数: 4
Integration in banking efficiency: a comparative analysis of the European Union, the Eurozone, and the United States banks 银行业效率的整合:欧盟、欧元区和美国银行的比较分析
Pub Date : 2021-11-30 DOI: 10.1108/jcms-08-2021-0026
Dimitra Loukia Kolia, Simeon Papadopoulos
PurposeThis paper investigates the development of efficiency and the progress of banking integration in the European Union by checking for convergence among banks of European and Eurozone countries as well as contrasting the results with those of United States banks.Design/methodology/approachInitially, we employ the two-stage semi-parametric double bootstrap DEA method, which absorbs the effects of possible integration barriers in the measurement of efficiency. Afterwards, we apply a panel data model, in order to investigate the process of banking integration by testing for convergence and for convergent clusters in banking efficiency.FindingsOur main findings show that the bank efficiency of the US is considerably higher than that of the Eurozone and the European Union. Although there is no evidence of convergence across the banking groups, our results indicate the presence of club convergence. We also conclude that the US banking system is closer to convergence than the Eurozone and the European Union banks. Nevertheless, this outcome is subject to change in the future due to the fact that Eurozone and European Union banks' speed of convergence is higher than that of US banks.Originality/valueOur survey is unique in trying to check for convergence while controlling for country-specific and bank-specific factors that affect the efficiency of European and Eurozone banks. Moreover, recent literature does not compare the convergence of efficiency of Eurozone, European and US banking. Finally, in our paper special consideration was given to the comparison of commercial, cooperative and savings banks, as subsets of our banking groups.
本文通过检查欧洲和欧元区国家银行之间的趋同性,并将其结果与美国银行的结果进行对比,研究欧盟银行一体化的效率发展和进程。设计/方法/方法最初,我们采用两阶段半参数双bootstrap DEA方法,该方法吸收了测量效率时可能的积分障碍的影响。然后,我们运用面板数据模型,通过检验银行效率的收敛性和收敛集群来研究银行整合的过程。我们的主要研究结果表明,美国的银行效率明显高于欧元区和欧盟。虽然没有证据表明银行集团之间存在趋同,但我们的结果表明俱乐部趋同的存在。我们还得出结论,美国银行体系比欧元区和欧盟银行更接近趋同。然而,由于欧元区和欧盟银行的趋同速度高于美国银行,这一结果在未来可能会发生变化。原创性/价值我们的调查是独一无二的,它试图检查趋同,同时控制影响欧洲和欧元区银行效率的特定国家和特定银行因素。此外,最近的文献没有比较欧元区、欧洲和美国银行业效率的趋同。最后,在本文中,我们特别考虑了商业银行、合作银行和储蓄银行作为我们银行集团的子集的比较。
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引用次数: 0
Equity crowdfunding and financial literacy of individual investors in Japan 股权众筹与日本个人投资者的理财素养
Pub Date : 2021-07-27 DOI: 10.1108/jcms-03-2021-0007
M. Fujii, Chie Hosomi, Yoshiaki Nose
PurposeThis study aims to fill the gap in previous research that focuses on the superficial aspects of equity crowdfunding (ECF) campaigns and financial practices by examining financial literacy aspects, such as due diligence and valuation, in terms of factors that influence Japanese individual investors' investments in ECF.Design/methodology/approachThe status of information disclosure in ECF campaigns is checked. In addition, the feasibility of the initial due diligence and valuation using this information is verified. Specifically, the lack of financial literacy hypothesis is developed and (1) expected market capitalization in the final fiscal year of the business plan and (2) expected returns on investment (IRR: internal rate of return) are estimated.FindingsECF campaigns in Japan disclose information equivalent to that obtained by professional venture capitalists. Analysis of the disclosed business plan allows for initial due diligence and valuation. By contrast, due diligence reveals that some projects are unlikely to be listed even if their business plans are met, and others have low IRRs. In addition, a stock acquisition rights project, in which even professional investors are unable to calculate IRRs, is completed at the same rate as a common stock project; this suggests that individual investors lack financial literacy.Originality/valueAnalyzing ECF from financial literacy aspects, such as due diligence and valuation, is unique. Such aspects are essential for private equity investments but have not been addressed in previous studies.
本研究旨在通过考察影响日本个人投资者对股权众筹(ECF)投资的因素,如尽职调查和估值等金融素养方面,填补以往研究中关注股权众筹(ECF)活动和金融实践表面方面的空白。设计/方法/方法检查ECF活动中的信息披露状况。此外,还验证了利用这些信息进行初步尽职调查和估值的可行性。具体来说,本文提出了缺乏金融知识的假设,并对(1)商业计划最后一个会计年度的预期市值和(2)预期投资回报率(IRR:内部收益率)进行了估计。发现sec在日本的活动披露的信息相当于专业风险投资家获得的信息。对披露的商业计划进行分析,以便进行初步尽职调查和估值。相比之下,尽职调查显示,一些项目即使商业计划得到满足,也不太可能上市,还有一些项目的内部收益率(irr)很低。此外,即使是专业投资者也无法计算内部收益率的股票取得权项目,其完成速度与普通股项目相同;这表明个人投资者缺乏金融知识。独创性/价值从尽职调查和估值等财务素养方面分析ECF是独一无二的。这些方面对私人股本投资至关重要,但在以往的研究中尚未得到解决。
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引用次数: 1
Cracking the fault line in stock markets: the case of bonus issue announcements 打破股市的断层线:以奖金发行公告为例
Pub Date : 2021-07-22 DOI: 10.1108/JCMS-03-2021-0008
Murat Isiker, O. Tas
PurposeThe paper aims to measure the magnitude of the event-induced return anomaly around bonus issue announcement days in Turkey for recent years. Also, by describing the information content of these announcements with the current data, the study tries to find out the factors that cause return anomaly in Borsa Istanbul when firm boards release the bonus issue decision.Design/methodology/approachThe paper conducts event study methodology for detecting market anomaly around bonus issue announcements. For the pairwise comparison purpose, t-test and one-way ANOVA methods are applied to examine if abnormal returns vary according to the information content of the announcements.FindingsAnnouncement returns for bonus issues from internal resources outperform the issues that are distributed from last year's net income as bonus shares. Findings indicate different return behaviour among internal resources sub-groups. Findings also suggest that investors in Turkey welcome larger-sized issues, while cumulated returns for the initial offers significantly differ from the latter issues.Research limitations/implicationsFindings are limited to the Turkish equity market. Also, the Public Disclosure Platform of Turkey, which is the main data source of the study, does not provide bonus issue announcements before 2010. Therefore, the previous year's data cannot be included in the analysis.Originality/valueThis paper is novel in terms of considering the main resources of the bonus issue in detail to measure the announcement's impact on stock returns.
目的本文旨在衡量土耳其近年来围绕奖金发行公告日的事件引发的回报异常的程度。同时,利用现有数据对这些公告的信息内容进行描述,试图找出导致公司董事会发布奖金发放决定时伊斯坦布尔证券交易所收益异常的因素。设计/方法/方法本文采用事件研究方法来检测围绕奖金发行公告的市场异常。为了两两比较,我们采用t检验和单因素方差分析方法来检验异常收益是否根据公告的信息内容而变化。从内部资源中发放奖金的公告回报优于从去年净收入中作为奖金股分配的回报。研究结果表明,内部资源子组之间的回报行为不同。调查结果还表明,土耳其投资者欢迎规模较大的发行,而首次发行的累计回报与后几次发行的累计回报存在显著差异。研究局限/启示研究结果仅限于土耳其股票市场。此外,作为本研究主要数据来源的土耳其公共披露平台(Public Disclosure Platform of Turkey)并未提供2010年之前的奖金发放公告。因此,前一年的数据不能纳入分析。原创性/价值本文的新颖之处在于详细考虑了奖金发行的主要来源来衡量公告对股票收益的影响。
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引用次数: 0
Leverage and firm performance: new evidence on the role of economic sentiment using accounting information 杠杆与企业绩效:利用会计信息研究经济情绪作用的新证据
Pub Date : 2021-02-22 DOI: 10.1108/JCMS-10-2020-0042
P. Kalantonis, Christos Kallandranis, M. Sotiropoulos
PurposeThe goal of this paper is twofold. First, to examine the role of expectations in shaping agents' behaviour within an extended time frame which incorporates a prolonged harsh downturn of economic activity. Therefore, the authors allow for an indirect impact of economy-wide expectations operating via their coexistence with firms' balance sheet factors. Second, it is tested whether the behaviour of listed firms as regards to debt follows the pecking order theory.Design/methodology/approachThe authors use the panel data methodology in the estimation of the financial structure models since unobservable heterogeneity is an important determinant towards the target leverage. A fixed effects estimation procedure, with robust intercepts allowed to vary across firms, was employed to examine the relationship between leverage and performance.FindingsThe findings offer evidence of patterns of pecking order behaviour and thus for the necessity of internal financing over external debt. The authors also extended the set of determinants by investigating the effect of macroeconomic conditions on the debt decision of firms. Contrary to the authors’ expectations, short-run beliefs of economic agents appear to play a negative role in leverage.Originality/valueThis paper contributes to the literature in a number of ways. First, following the growing literature of loan dynamics, the findings provide useful insights into corporate capital structure decisions in an economy in which businesses were almost excluded from external financing for over a decade. Second, in order to better understand corporate financing decisions, it is necessary to consider the overall economic framework in which companies and especially the listed ones operate.
本文的目的是双重的。首先,在包含经济活动长期严酷低迷的较长时间框架内,考察预期在塑造代理人行为方面的作用。因此,作者允许通过与企业资产负债表因素共存来间接影响整个经济的预期。其次,检验上市公司的债务行为是否遵循啄食顺序理论。设计/方法/方法作者在财务结构模型的估计中使用了面板数据方法,因为不可观察的异质性是目标杠杆的重要决定因素。采用固定效应估计程序,允许不同公司的稳健截距变化,以检查杠杆和绩效之间的关系。研究结果这些发现提供了等级行为模式的证据,从而证明了内部融资比外部债务的必要性。作者还通过调查宏观经济条件对企业债务决策的影响,扩展了决定因素集。与作者的预期相反,经济主体的短期信念似乎对杠杆起到了负面作用。原创性/价值这篇论文在很多方面对文献做出了贡献。首先,随着关于贷款动态的文献越来越多,研究结果为企业资本结构决策提供了有用的见解,在这个经济体中,企业几乎被排除在外部融资之外已有十多年了。其次,为了更好地理解企业融资决策,有必要考虑公司特别是上市公司运营的整体经济框架。
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引用次数: 13
期刊
Journal of Capital Markets Studies
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