## 金融代写|金融风险管理代写Financial Risk Management代考|MFIN6205

statistics-lab™ 为您的留学生涯保驾护航 在代写金融风险管理Financial Risk Management方面已经树立了自己的口碑, 保证靠谱, 高质且原创的统计Statistics代写服务。我们的专家在代写金融风险管理Financial Risk Management方面经验极为丰富，各种代写金融风险管理Financial Risk Management相关的作业也就用不着说。

• Statistical Inference 统计推断
• Statistical Computing 统计计算
• Advanced Probability Theory 高等楖率论
• Advanced Mathematical Statistics 高等数理统计学
• (Generalized) Linear Models 广义线性模型
• Statistical Machine Learning 统计机器学习
• Longitudinal Data Analysis 纵向数据分析
• Foundations of Data Science 数据科学基础

## 金融代写|金融风险管理代写Financial Risk Management代考|BRIEF LITERATURE REVIEW ON FINANCIAL RISK AND GENDER DIVERSITY

FR is normally referred to as the possibility that a firm’s cash flow will prove to be inadequate to meet its obligations, and is related to the odds of losing money, which can result in the loss of capital to interested parties. There are several types of FR, like financial distress risk (Altman, 1968), market risk (Salomons \& Grootveld, 2003), operational risk (Girling, 2013), disclosure risk (Linsley \& Shrives, 2006), model risk (Jokhadze \& Schmidt, 2020), and credit risk (Putri, Bunga \& Rochman, 2021). Many factors have been reported in the literature to explain firms’ risk. One of the reported factors, influencing management decisions, and, consequently, the firms’ risk, is GD. Other recently studied factors include economic policy uncertainty (Wen et al., 2021), policy and corporate financing (Lee et al., 2021), Knowledge management (Hock-Doepgen et al., 2021), cash reserves, and financial constraints (Lee and Wang, 2021), corporate social responsibility (Kuo et al., 2021), gender diversity (Cho et al., 2021), just to mention a few.

Indeed, previous studies find evidence that women have different characteristics in what concerns firms management decisions, because of their different understanding of market conditions, creativity and public image (Smith et al., 2006), communication and listening skills (Julizaerma \& Sori, 2012), and the decision-making process (Bart \& McQueen, 2013). In addition, Singh et al. (2008) argue that females are more likely to bring international diversity to the board of directors. Huse and Solberg (2006) posit that women are better prepared than men for board meetings and Adams and Ferreira (2007) conclude that they have better attendance records. From a psychological perspective, Barber and Odean (O001) held that men are more nverconfident than women and Olsen and Cox (On01) conclude that females are more risk-averse than men. The conclusions of Barber and Odean (2001) and Olsen and $\operatorname{Cox}$ (2001) suggest that men tend to make riskier financial decisions. However, Olsen and Cox (2001) also conclude that females are more prone to emotional conflicts than men. Consequently, we expect that GD influences a firm’s FR.

There is plenty of evidence on gender differences in management decisions that affect firms’ FR, such as Jianakoplos and Bernasek (1998), Byrnes et al. (1999), Croson and Gneezy (2009), Ahern and Dittmar (2012), Huang and Kisgen (2013), Berger et al. (2014), Lenard et al. (2014), Faccio et al. (2016), Filippin and Crosetto (2016), Sila et al. (2016), Jeong and Harrison (2017), Bernile et al. (2018), L’Haridon and Vieder (2019), Li and Zeng (2019), Bufarwa et al. (2020), Hurley and Choudhary (2020) and Saeed et al. (2021).

Within the U.S. context, Huang and Kisgen (2013) posit a negative association between executive women positions and leverage. In the same line, Faccio et al. (2016) report that firms with female CEOs present lower leverage levels. Concomitantly, Hurley and Choudhary (2020) show that the impact of female CFOs on firms’ financial risk is mixed, depending on risk measures used. However, the evidence shows that increasing the female percentage of board members reduces firms’ risk. Li and Zeng (2019) argue for an insignificant relationship between female CEO and stock price crash risk that turns negative for female CFOs.

## 金融代写|金融风险管理代写Financial Risk Management代考|GENERAL BIBLIOMETRIC ANALYSIS ON FINANCIAL RISK

Bibliometric analysis is a method that turns easier the research of the relationship between research criteria and variables related to the research and environment of that research. During this research, it was applied the exploratory, descriptive, and bibliographic research methodology, performing a content analysis through the keyword “financial risk”. The search was performed at the end of June 2021. The authors consider the period between January and June 2021, since the research on the relationship between GD and FR is recent, and 2021 has a significant number of publications, compared with the other years. Provided the authors wanted a recent analysis period, they concentrate the chapter research during the period 2010-2021 (June). Even so, just by searching for the title/abstract/keywords “financial risk” in the Scopus database, it was found 15,979 documents (of all types) published from 2010 until June 2021. Regarding the analysis concentrated on the keywords “gender diversity” and “financial risk” for the analyzed period, the authors end with a final sample of 96 documents. The research was focused on Scopus since by crossing it with other sources like WoS findings were similar, as to the main documents available and published in indexed journals.

The six months of the last year of the sample (2021) was the period with more documents published (20), representing $20.8 \%$ of the articles published during the period in analysis. The period between 2010 and 2020 (11 years) represents $79.2 \%$ of the publications (76), which shows that it is a recent topic of research. Indeed, the first paper published that relates $G D$ and FR registered in Scopus is dated from 2001. The acquired data has on its basis several sources which are found in Scopus (https://www. scopus.com/search/), a database with a huge quantity of articles. The process of data collection in this platform is divided into several parameters: the choice of the database, the definition of keywords, the identification of the article, the journal identification, and the classification of the articles. The study performed and presented next will follow over some of these parameters.

Figure 1 presents the evolution of the documents collected for the period between 2010 and June 2021, after applying the parameters defined in the Scopus database, and looking for the title/abstract/ keywords “gender diversity” and “financial risk”, which relation we want to analyze, leading us to a total database of 96 documents, proving that this is a new topic in the financial research.

## 金融代写|金融风险管理代写Financial Risk Management代考|BRIEF LITERATURE REVIEW ON FINANCIAL RISK AND GENDER DIVERSITY

FR 通常被称为公司的现金流量将被证明不足以履行其义务的可能性，并且与亏损的可能性有关，这可能导致利益相关方损失资本。FR 有几种类型，如财务困境风险 (Altman, 1968)、市场风险 (Salomons \& Grootveld, 2003)、操作风险 (Girling, 2013)、披露风险 (Linsley \& Shrives, 2006)、模型风险 ( Jokhadze \& Schmidt, 2020) 和信用风险 (Putri, Bunga \& Rochman, 2021)。文献中报道了许多解释公司风险的因素。所报告的影响管理决策以及公司风险的因素之一是 GD。最近研究的其他因素包括经济政策的不确定性（Wen et al., 2021）、政策和企业融资（Lee et al., 2021）、

## 广义线性模型代考

statistics-lab作为专业的留学生服务机构，多年来已为美国、英国、加拿大、澳洲等留学热门地的学生提供专业的学术服务，包括但不限于Essay代写，Assignment代写，Dissertation代写，Report代写，小组作业代写，Proposal代写，Paper代写，Presentation代写，计算机作业代写，论文修改和润色，网课代做，exam代考等等。写作范围涵盖高中，本科，研究生等海外留学全阶段，辐射金融，经济学，会计学，审计学，管理学等全球99%专业科目。写作团队既有专业英语母语作者，也有海外名校硕博留学生，每位写作老师都拥有过硬的语言能力，专业的学科背景和学术写作经验。我们承诺100%原创，100%专业，100%准时，100%满意。

## MATLAB代写

MATLAB 是一种用于技术计算的高性能语言。它将计算、可视化和编程集成在一个易于使用的环境中，其中问题和解决方案以熟悉的数学符号表示。典型用途包括：数学和计算算法开发建模、仿真和原型制作数据分析、探索和可视化科学和工程图形应用程序开发，包括图形用户界面构建MATLAB 是一个交互式系统，其基本数据元素是一个不需要维度的数组。这使您可以解决许多技术计算问题，尤其是那些具有矩阵和向量公式的问题，而只需用 C 或 Fortran 等标量非交互式语言编写程序所需的时间的一小部分。MATLAB 名称代表矩阵实验室。MATLAB 最初的编写目的是提供对由 LINPACK 和 EISPACK 项目开发的矩阵软件的轻松访问，这两个项目共同代表了矩阵计算软件的最新技术。MATLAB 经过多年的发展，得到了许多用户的投入。在大学环境中，它是数学、工程和科学入门和高级课程的标准教学工具。在工业领域，MATLAB 是高效研究、开发和分析的首选工具。MATLAB 具有一系列称为工具箱的特定于应用程序的解决方案。对于大多数 MATLAB 用户来说非常重要，工具箱允许您学习应用专业技术。工具箱是 MATLAB 函数（M 文件）的综合集合，可扩展 MATLAB 环境以解决特定类别的问题。可用工具箱的领域包括信号处理、控制系统、神经网络、模糊逻辑、小波、仿真等。

## 金融代写|金融风险管理代写Financial Risk Management代考|FINC411

statistics-lab™ 为您的留学生涯保驾护航 在代写金融风险管理Financial Risk Management方面已经树立了自己的口碑, 保证靠谱, 高质且原创的统计Statistics代写服务。我们的专家在代写金融风险管理Financial Risk Management方面经验极为丰富，各种代写金融风险管理Financial Risk Management相关的作业也就用不着说。

• Statistical Inference 统计推断
• Statistical Computing 统计计算
• Advanced Probability Theory 高等楖率论
• Advanced Mathematical Statistics 高等数理统计学
• (Generalized) Linear Models 广义线性模型
• Statistical Machine Learning 统计机器学习
• Longitudinal Data Analysis 纵向数据分析
• Foundations of Data Science 数据科学基础

## 金融代写|金融风险管理代写Financial Risk Management代考|LITEREATURE REVIEW

The relationship between risk and return is well known in the finance literature. This relationship has been examined by extensive studies and there is still room for future research. The dynamic changes on business risk environment make this relationship quite difficult to predict, even both practitioners and academicians, have putted efforts to decompose this relationship over the past decades.

It was Knight (1921) who made a significant contribution by introducing the distinction between risk and uncertainty. Several empirical studies are done after that and the relationship between risk and firm performance has attracted the interest of scholars among other views of the risk investigation. For example, Wiseman and Bromiley (1996) in their study examine variables such as: (1) performance, (2) slack, (3) aspirations, (4) expectations, (5) risk, and (6) organization size. The authors among other findings reveal that risk reduces performance. Also, Bromiley (1991) by examining risk, performance, performance expectations and aspirations, slack, and industry performance suggests a model wherein low performance and lack of slack drive risk-taking, but the risks taken have poor returns.

Berman, Wicks, Kotha and Jones (1999) in their study provide evidence that supports a strategic stakeholder management model but no support for an intrinsic stakeholder commitment model.

McNamara and Bromiley (1997) in their study examine the risk assessments bankers assigned to commercial borrowers and reveal that organizational and cognitive factors influenced risky decision making.
Further, Adams and Jiang (2016) investigate the relationship between outside board directors and six measures of financial performance such as: (1) profit margin, (2) return on assets, (3) return on equity, (4) solvency position, (5) loss ratio, and (6) combined operating ratio. By examining panel data for 1999-2012 drawn from the UK’s property-casualty insurance industry, the authors among other findings highlight that the implied understanding of risk management is a core comperence.

Gordon, Loeb and Tseng (2009) investigate whether the relation between ERM and firm performance is contingent upon the proper match between ERM and variables such as: environmental uncertainty, industry competition, firm size, firm complexity, and monitoring by the board of directors. By examining 112 US firms, the authors confirm that argument.

Psillaki, Tsolas and Margaritis (2010) examine whether productive inefficiency measured as the distance from the industry’s ‘best practice’ frontier is an important ex-ante predictor of business failure in the case of French textiles, wood and paper products, computers, and R\&D firms. The authors reveal that productive efficiency has significant explanatory power in predicting the likelihood of default over and above the effect of standard financial indicators.

## 金融代写|金融风险管理代写Financial Risk Management代考|RESULTS AND DISCUSSION

The previous literature has documented the importance of asset liquidity in association with firm innovation (Pham, Vo, Le, \& Le, 2018), capital structure (Morellec, 2001; Sibilkov, 2009), the cost of capital (Ortiz-Molina \& Phillips, 2010), portfolio choice (Geromichalos \& Simonovska, 2014); asset prices (Lester. Postlewaite, \& Wright, 2012) and among others (Amihud \& Mendelson, 1988: Amihud. Mendelson, \& Pedersen, 2006; Gavazza, 2010; Geromichalos, Jung, Lee, \& Carlos, 2021; Herrenbrueck \& Geromichalos, 2017; Kruse, 2002; Nejadmalayeri, 2021). Prior studies capture asset liquidity as the liquidity scores for firms’ major asset classes in their balance sheets including (1) cash and cash equivalents, (2) other non-current assets, (3) tangible fixed assets, and other assets (Gopalan, Kadan, \& Pevzner, 2012) and the non-cash assets (Pham et al., 2018).

For several types of liquidity risk, stock market liquidity has been continuously attractive to international scholars in investigating its relation to several themes of corporate finance as well as the real economy. For instance, Vivian W. Fang, Tian, and Tice (2014) find that higher stock liquidity induces a decrease in future firm innovation, the authors explain by the two possible mechanisms including (1) greater subjection to hostile takeovers and (2) increased attendance of institutional investors who might not actively collect information or keep track of information.

Stock liquidity negatively affects firm default risk via the two possible mechanisms: enhancing informational efficiency in stock prices and promoting corporate governance quality by blockholes (Brogaard, Li, \& Xia, 2017); furthermore, the authors document that the channel of information efficiency presents better explanatory ability than the channel of corporate governance in the negative effects of stock liquidity on default risk.

By employing the 2001 Securities and Exchange Commission decimalization regulation event in the US and difference-in-differences approach, the authors provide that the firms with the lowest change in stock liquidity (treatment group) experience a higher decrease in default risk after the decimalization in comparison with the firms with the highest change in stock liquidity (control group) surrounding the event year.

For an international context, Nadarajah, Duong, Ali, Liu, and Huang (2020) also find the same negative relation between stock liquidity and default risk; using the event of the Directive on Markets in Financial Instruments (MiFID), the authors document a decrease in default risk after the $2007 \mathrm{MiFID}$ event as an exogenous shock to stock liquidity.

## 金融代写|金融风险管理代写Financial Risk Management代考|LITEREATURE REVIEW

Knight (1921) 通过引入风险和不确定性之间的区别做出了重大贡献。之后进行了一些实证研究，风险与企业绩效之间的关系在风险调查的其他观点中引起了学者们的兴趣。例如，Wiseman 和 Bromiley (1996) 在他们的研究中检查了以下变量：(1) 绩效，(2) 懈怠，(3) 抱负，(4) 期望，(5) 风险和 (6) 组织规模。作者的其他研究结果表明，风险会降低绩效。此外，Bromiley (1991) 通过检查风险、绩效、绩效预期和期望、松弛和行业绩效提出了一个模型，其中低绩效和缺乏松弛驱动风险承担，但所承担的风险回报不佳。

Berman、Wicks、Kotha 和 Jones (1999) 在他们的研究中提供了支持战略利益相关者管理模型但不支持内在利益相关者承诺模型的证据。

McNamara 和 Bromiley (1997) 在他们的研究中检查了银行家分配给商业借款人的风险评估，并揭示了组织和认知因素影响了风险决策。

Gordon、Loeb 和 Tseng (2009) 调查 ERM 与公司绩效之间的关系是否取决于 ERM 与变量之间的适当匹配，例如：环境不确定性、行业竞争、公司规模、公司复杂性和董事会监督。通过研究 112 家美国公司，作者证实了这一论点。

Psillaki、Tsolas 和 Margaritis（2010 年）研究了以与行业“最佳实践”前沿的距离来衡量的生产效率低下是否是法国纺织品、木材和纸制品、计算机和 R 业务失败的重要事前预测因素。 \&D 公司。作者揭示了生产效率在预测违约可能性方面具有显着的解释力，超出了标准财务指标的影响。

## 广义线性模型代考

statistics-lab作为专业的留学生服务机构，多年来已为美国、英国、加拿大、澳洲等留学热门地的学生提供专业的学术服务，包括但不限于Essay代写，Assignment代写，Dissertation代写，Report代写，小组作业代写，Proposal代写，Paper代写，Presentation代写，计算机作业代写，论文修改和润色，网课代做，exam代考等等。写作范围涵盖高中，本科，研究生等海外留学全阶段，辐射金融，经济学，会计学，审计学，管理学等全球99%专业科目。写作团队既有专业英语母语作者，也有海外名校硕博留学生，每位写作老师都拥有过硬的语言能力，专业的学科背景和学术写作经验。我们承诺100%原创，100%专业，100%准时，100%满意。

## MATLAB代写

MATLAB 是一种用于技术计算的高性能语言。它将计算、可视化和编程集成在一个易于使用的环境中，其中问题和解决方案以熟悉的数学符号表示。典型用途包括：数学和计算算法开发建模、仿真和原型制作数据分析、探索和可视化科学和工程图形应用程序开发，包括图形用户界面构建MATLAB 是一个交互式系统，其基本数据元素是一个不需要维度的数组。这使您可以解决许多技术计算问题，尤其是那些具有矩阵和向量公式的问题，而只需用 C 或 Fortran 等标量非交互式语言编写程序所需的时间的一小部分。MATLAB 名称代表矩阵实验室。MATLAB 最初的编写目的是提供对由 LINPACK 和 EISPACK 项目开发的矩阵软件的轻松访问，这两个项目共同代表了矩阵计算软件的最新技术。MATLAB 经过多年的发展，得到了许多用户的投入。在大学环境中，它是数学、工程和科学入门和高级课程的标准教学工具。在工业领域，MATLAB 是高效研究、开发和分析的首选工具。MATLAB 具有一系列称为工具箱的特定于应用程序的解决方案。对于大多数 MATLAB 用户来说非常重要，工具箱允许您学习应用专业技术。工具箱是 MATLAB 函数（M 文件）的综合集合，可扩展 MATLAB 环境以解决特定类别的问题。可用工具箱的领域包括信号处理、控制系统、神经网络、模糊逻辑、小波、仿真等。

## 金融代写|金融风险管理代写Financial Risk Management代考|FIN801

statistics-lab™ 为您的留学生涯保驾护航 在代写金融风险管理Financial Risk Management方面已经树立了自己的口碑, 保证靠谱, 高质且原创的统计Statistics代写服务。我们的专家在代写金融风险管理Financial Risk Management方面经验极为丰富，各种代写金融风险管理Financial Risk Management相关的作业也就用不着说。

• Statistical Inference 统计推断
• Statistical Computing 统计计算
• Advanced Probability Theory 高等楖率论
• Advanced Mathematical Statistics 高等数理统计学
• (Generalized) Linear Models 广义线性模型
• Statistical Machine Learning 统计机器学习
• Longitudinal Data Analysis 纵向数据分析
• Foundations of Data Science 数据科学基础

## 金融代写|金融风险管理代写Financial Risk Management代考|BRIEF LITERATURE REVIEW ON FINANCIAL RISK

FR includes several types of risk, such as market risk, model risk, credit risk, liquidity risk, operational risk, and risk of disclosure compose the financial risk, and some of these types of FR are also divided into various classes of risk. For example, market risk (Schroeck, 2002) is composed of four kinds of risk: the equity risk, the interest rate risk, the currency risk, and commodity risk (Salomons \& Grootveld, 2003). From the different types of FR, risk disclosure is related to good CG practices, making companies more transparent in disclosing risks, helping investors to make a better decision in their portfolio investment, creating benefits to firms and shareholders, and, consequently, improving the competitiveness of companies (Solomon et al., 2000). Thus, we can see that it is expected an influence of CG on firms FR.
The CG practices are determinant to protect investors’ and other stakeholders’ interests (Soltani \& Maupetit, 2015). Indeed, CG proposes a set of practices to reduce the conflicts between managers and shareholders (Vieira \& Neiva, 2019). The most concise definition of CG was provided by the Cadbury Report in 1992, “Corporate governance is the system by which companies are directed and controlled”, and all the responsibility is placed over their leaders. For most companies, those leaders are the directors, responsible for the decision of the long-term strategy of the company, to serve the best interests of all the stakeholders.

The CG rules and practices present different stages of development, according to the economic characteristics of countries. For example, the Western Continental European firms present higher levels of ownership concentration and the dominance of family owners (Aganin \& Volpin, 2002; Högfeldt, 2003). Developing countries characterize Central Europe, being now consolidating their $\mathrm{CG}$ systems to improve investor protection and transparency (Svejnar, 2002). Eastern Europe exposes diverse CG characteristics, with strong ownership concentration and poor investor protection. For example, the United Kingdom (UK) is characterized by dispersed ownership, liquid capital market, transparency, and high investors’ protection, while France, Germany, and Italy are making efforts to improve the stock market efficiency, the investor protection. as well as best practice codes (Aluchna, 2016). Consequently, we expect that different $\mathrm{CG}$ practices will influence differently the firm’s financial risk.

The economic failures oyer the past, as well as the current economic changes, show the need for efficient CG practices and financial risk disclosure approaches (Luo, 2016). Indeed, various studies analyze how CG affects the level of FR disclosure, such as the ones of Alnabsha et al. (2018), Elamer and Benyazid (2018), Solomon et al. (2000), Ettredge et al. (2011), Ntim et al. (2013), Bufarwa et al. (2020) and Putri et al. (2021).

Bufarwa et al. (2020) analyze the impact of CG mechanisms on FR reporting in the UK, considering a sample of 50 non-financial firms listed on the London Stock Exchange in the period between 2011 and 2015. The authors find that $\mathrm{CG}$ has a significant influence on FR disclosure. Board gender diversity has a positive effect on the level of corporate financial risk disclosure, which adds to the results of previous studies, such as the ones of Barako and Brown (2008), Ntim et al. (2012), and Ntim et al. (2013). Block ownership has also a positive impact on FR disclosure, suggesting that the UK firms will engage in a high level of financial disclosure, including voluntary disclosures. This result is in agreement with the findings of Abraham and $\operatorname{Cox}$ (2007) and Oliveira et al. (2011). However, the authors find no significant relationship between board size and corporate FR disclosure, which is consistent with the results of Elzahar and Hussainey (2012), but inconsistent with the findings of Ntim et al. (2013), who find a positive relationship between these variables.

## 金融代写|金融风险管理代写Financial Risk Management代考|GENERAL BIBLIOMETRIC ANALYSIS ON FINANCIAL RISK

Bibliometric analysis is a method that turns easier the research of the relationship between research criteria and variables related to the research and environment of that research. During this research, it was applied the exploratory, descriptive, and bibliographic research methodology, performing a content analysis through the keywords “financial risk” and “corporate governance”. Provided the authors wanted a recent analysis period, they concentrate the chapter research during the period 2010-2020. Just by searching for the keyword earnings management in the Scopus database, it was found a total of 14,942 documents (from all types), while in the Web of Science database only 4,542 documents, also from all types. Regarding the analysis concentrated on the keywords “financial risk” and “corporate governance” for the 2010-2020 period, the authors end with a final sample of 138 documents in the Scopus database and 50 documents in the Web of Science database.

Another classification performed in our study is the kind of quantitative and qualitative research that takes on its basis a content analysis. The acquired data has on its basis several sources which are found in Scopus (https://www.scopus.com/search/), a database with a huge quantity of articles and Web of Science (https://www.webofscience.com/wos/woscc/basic-search). The process of data collection in this platform is divided into several parameters: the choice of the database, the definition of keywords, the identification of the article, the journal identification, and the classification of the articles. The study performed and presented next will follow over some of these parameters.

Figure 1 presents the evolution of the documents collected during 2010 and 2020 , after applying the parameters defined in the Scopus and Web of Science databases, leading us to a total database of 138 documents, and 50 documents, respectively.

## 金融代写|金融风险管理代写Financial Risk Management代考|BRIEF LITERATURE REVIEW ON FINANCIAL RISK

FR包括几类风险，如市场风险、模型风险、信用风险、流动性风险、操作风险和披露风险等构成财务风险，其中部分FR又分为各种风险类别。例如，市场风险（Schroeck，2002）由四种风险组成：股权风险、利率风险、货币风险和商品风险（Salomons \& Grootveld，2003）。从不同类型的 FR 来看，风险披露与良好的 CG 实践相关，使公司在披露风险时更加透明，帮助投资者在组合投资中做出更好的决策，为公司和股东创造利益，从而提高竞争力公司（所罗门等人，2000 年）。因此，我们可以看到 CG 对公司 FR 的影响是预期的。

CG 规则和实践根据各国的经济特点呈现出不同的发展阶段。例如，欧洲西部大陆的公司呈现出更高水平的所有权集中度和家族所有者的支配地位（Aganin \& Volpin，2002；Högfeldt，2003）。发展中国家是中欧的特征，现在正在巩固他们的CG提高投资者保护和透明度的系统（Svejnar，2002 年）。东欧展现出多元化的企业管治特征，所有权集中度高，投资者保护不力。例如，英国（UK）的特点是股权分散、资本市场流动性强、透明度高、投资者保护程度高，而法国、德国和意大利则在努力提高股市效率，提高投资者保护水平。以及最佳实践代码（Aluchna，2016）。因此，我们期望不同的CG实践将对公司的财务风险产生不同的影响。

## 广义线性模型代考

statistics-lab作为专业的留学生服务机构，多年来已为美国、英国、加拿大、澳洲等留学热门地的学生提供专业的学术服务，包括但不限于Essay代写，Assignment代写，Dissertation代写，Report代写，小组作业代写，Proposal代写，Paper代写，Presentation代写，计算机作业代写，论文修改和润色，网课代做，exam代考等等。写作范围涵盖高中，本科，研究生等海外留学全阶段，辐射金融，经济学，会计学，审计学，管理学等全球99%专业科目。写作团队既有专业英语母语作者，也有海外名校硕博留学生，每位写作老师都拥有过硬的语言能力，专业的学科背景和学术写作经验。我们承诺100%原创，100%专业，100%准时，100%满意。

## MATLAB代写

MATLAB 是一种用于技术计算的高性能语言。它将计算、可视化和编程集成在一个易于使用的环境中，其中问题和解决方案以熟悉的数学符号表示。典型用途包括：数学和计算算法开发建模、仿真和原型制作数据分析、探索和可视化科学和工程图形应用程序开发，包括图形用户界面构建MATLAB 是一个交互式系统，其基本数据元素是一个不需要维度的数组。这使您可以解决许多技术计算问题，尤其是那些具有矩阵和向量公式的问题，而只需用 C 或 Fortran 等标量非交互式语言编写程序所需的时间的一小部分。MATLAB 名称代表矩阵实验室。MATLAB 最初的编写目的是提供对由 LINPACK 和 EISPACK 项目开发的矩阵软件的轻松访问，这两个项目共同代表了矩阵计算软件的最新技术。MATLAB 经过多年的发展，得到了许多用户的投入。在大学环境中，它是数学、工程和科学入门和高级课程的标准教学工具。在工业领域，MATLAB 是高效研究、开发和分析的首选工具。MATLAB 具有一系列称为工具箱的特定于应用程序的解决方案。对于大多数 MATLAB 用户来说非常重要，工具箱允许您学习应用专业技术。工具箱是 MATLAB 函数（M 文件）的综合集合，可扩展 MATLAB 环境以解决特定类别的问题。可用工具箱的领域包括信号处理、控制系统、神经网络、模糊逻辑、小波、仿真等。