Re-Discussion on the Financial Boundaries for Corporate Merger and Acquisition Decisions

This paper discusses the acquiring methods of corporatemerger and acquisition,defines the financial boundariesof negotiation for both an acquirer and an acquiree,de-velops a new analyzing model to determine the financialboundary for the M&A decision.The paper also putsforward the negotiation range of transferring price andcondition for the acquirer and acquiree by quantitativeanalysis.In the end,the peper points out that it is prof-itable for both of the acquirer and acquiree to implementacquisition in the range of financial boundaries.

Decision making on financial investment in Turkey by using ARDL long-term coefficients and AHP

Mathematical modeling methods are frequently used for solving everyday problems.Decision making,one such method,can be used in every aspect of life for different scales such as micro(households),medium(companies),and macro(states)decisions.Due to the large number of parameters affecting decision,it is possible to make mistakes in the selection of the appropriate investment instrument with classical methods;hence,scarce resources may be wasted,and sometimes it may even be impossible to make a decision.This study seeks to answer the question“Which financial investment instrument should be selected under the current conditions?”using decision making problems.Factors affecting gold,USD,and EURO,which are selected as the financial investment instruments in Turkey,are examined using the autoregressive distributed lag(ARDL)bound test.The selected variables are monthly and belong to the January 2009 to May 2018 period.The ARDL results show that the selected financial investment instruments are affected by most of the factors separately.By using the coefficients obtained from the ARDL model,the analytic hierarchy process(AHP)model was established.According to the results of the model,the EURO was determined as the most suitable financial investment for Ahmet and others with the same preferences.

A group decision model for credit granting in the financial market

Group decision models that contemplate the particularities of the decision-making process help organizations pursue their strategic objectives.In the financial market,the primary interest of organizations consists in ensuring financial returns,which guarantee stability for the organization.This study identifies major problems in the current process of credit granting in the financial market and argues the need for automatizing the organizational decision process while respecting the autonomy of decision-makers.To this end,this study proposes a group decision model based on the Strategic Choice Approach(SCA)for granting credit in a financial market organization.The results show that the adoption of the proposed model offers considerable gains in terms of organizational goals,transparency of the decision-making process,security for decision-makers,and reduction of organizational conflicts.

Information on Financial Statements for Loan Decision-Making of Commercial Banks in Vietnam

Financial statements （FS） are tools which provide information to users for making business decisions. Among the organizations, banks are the firms which conducted and did business with risks. In particular, commercial banks continue to play a dominant role in the whole system, and local commercial banks still have an edge in its widespread network across the country over foreign banks. This article is going to present the survey which clarifies the role of FS in commercial banks＇ loan decisions in Vietnam. Moreover, this paper also discusses FS＇s quality currently, thereby making suggestions for enterprises to enhance the usefulness of accounting information in borrowing activities. This paper has taken performance with 74 official employees in commercial banks in Vietnam. The results indicated the qualitative characteristics of banks when disclosing the financial statements. This article also gave the six oriented solutions to improvement of the loan decision-making by banks.

Reformative Financial Risk Management Approach： A Multistage Decision Support System with the Assistance of Fuzzy Goal Programming and Expertons Method

The potential demand on financial risk management has being increased considerably by the reason of Basel 11 regulations and instabilities in economy. In recent years, financial institutions and companies have been struggled for building up intensive financial risk management tools due to Basel II guidance on establishing financial self-assessment systems. In this respect, decision support system has a significant role on effectuating intensive financial risk management roadmap. In this study, a reformative financial risk management system is presented with the combination of determining financial risks with their importance, calculating risk scores and making suggestions based on detected risk scores by applying corrective actions. First, financial risk factors and indicators of these risk variables are selected and weights of these variables are specified by using fuzzy goal programming. After that, total risk scores are calculated and amendatory financial activities are appeared by means of expertons method which also provides possibilities of the alternative decisions. To illustrate the performance of integrated and multistage decision support system, a survey is applied on the end users.

Artificial Intelligence Based Optimal Functional Link Neural Network for Financial Data Science

In present digital era,data science techniques exploit artificial intelligence(AI)techniques who start and run small and medium-sized enterprises(SMEs)to have an impact and develop their businesses.Data science integrates the conventions of econometrics with the technological elements of data science.It make use of machine learning(ML),predictive and prescriptive analytics to effectively understand financial data and solve related problems.Smart technologies for SMEs enable allows the firm to get smarter with their processes and offers efficient operations.At the same time,it is needed to develop an effective tool which can assist small to medium sized enterprises to forecast business failure as well as financial crisis.AI becomes a familiar tool for several businesses due to the fact that it concentrates on the design of intelligent decision making tools to solve particular real time problems.With this motivation,this paper presents a new AI based optimal functional link neural network(FLNN)based financial crisis prediction(FCP)model forSMEs.The proposed model involves preprocessing,feature selection,classification,and parameter tuning.At the initial stage,the financial data of the enterprises are collected and are preprocessed to enhance the quality of the data.Besides,a novel chaotic grasshopper optimization algorithm(CGOA)based feature selection technique is applied for the optimal selection of features.Moreover,functional link neural network(FLNN)model is employed for the classification of the feature reduced data.Finally,the efficiency of theFLNNmodel can be improvised by the use of cat swarm optimizer(CSO)algorithm.A detailed experimental validation process takes place on Polish dataset to ensure the performance of the presented model.The experimental studies demonstrated that the CGOA-FLNN-CSO model has accomplished maximum prediction accuracy of 98.830%,92.100%,and 95.220%on the applied Polish dataset Year I-III respectively.

“双高”背景下高职院校财务信息化研究与应用

在“双高计划”引领下,高职院校财务管理向信息化转变显得尤为关键,这不仅有助于提升管理效率,还能优化管理质量。文章通过分析高等职业教育机构对财务信息技术应用的现状与面临的主要挑战,突出了信息技术在优化资源配置、增强决策能力和提高财务透明度方面的积极作用。

数字普惠金融与农村居民的社会公平感

提高公民的社会公平感对于维护国家秩序、构建和谐社会至关重要。在数字普惠金融助推乡村振兴的背景下,为了揭示数字普惠金融是否会让农村居民感到更加公平,基于北京大学的数字普惠金融指数与中国综合社会调查数据,考察了数字普惠金融对农村居民社会公平感的影响及作用机制。研究发现,数字普惠金融的发展显著提升了农村居民的社会公平感。机制分析表明,数字普惠金融通过提高个人横向和纵向相对评价来正向影响农村居民的社会公平感,个人绝对收入水平不构成数字普惠金融影响农村居民社会公平感的路径。进一步发现,数字普惠金融对农村居民社会公平感的影响存在个人绝对收入的双重门槛效应。据此建议进一步完善数字普惠金融服务体系,重视地区间的平衡性、协调性。

会计核算在财务决策中的作用与优化——以石家庄市气象局为例

会计核算在气象部门财务决策中发挥重要作用,为决策提供基础数据,辅助评估方案可行性,监督执行过程,并支持绩效评价。在气象部门实际应用中,会计核算对预算管理、成本控制、设备投资和绩效评价等方面贡献显著。文章以石家庄市气象局为例,说明了会计核算在实践中的应用效果。总体而言,会计核算为气象部门科学决策提供坚实基础,未来将继续在财务管理、资源配置和风险防控等方面发挥重要作用,推动气象事业可持续发展。

服装企业投资决策中财务分析工具的应用

文章探讨了服装企业在进行投资决策时所采用的财务分析工具及其应用实践。通过分析服装行业的市场特性与竞争格局,文章揭示了在多因素影响下投资决策的复杂性以及潜在的错误后果。结合具体案例,文章详细阐述了财务比率分析、资本预算技术(包括净现值NPV和内部回报率IRR)以及敏感性分析在服装企业投资决策过程中的应用及其成效。研究旨在为服装企业提供一套科学的投资决策框架,以助其在激烈的市场竞争中识别并把握投资机遇。

企业数字化转型如何影响现金股利政策:“信息面”还是“资金面”

近年来,数字化转型已成为企业高质量发展的必由之路,数字化转型是否以及如何影响企业财务决策成为一个新兴而重要的研究话题。本文以2010—2020年A股上市公司为样本,基于现金股利视角对此展开研究。结果表明,企业数字化转型显著降低了现金股利,其作用路径为“资金面”(改变资金安排),而非“信息面”(改变业绩预期与透明度)。具体而言,存在两种效应支持“资金面”作用路径。其一为“挤出”效应,它表现为企业数字化转型不仅需要在其中投入大量资金,还通过提高并购、研发等投资支出“挤出”现金股利。在该效应下,数字化转型对现金股利的负向作用仅在成长型、非国有等资金相对紧张的企业中显著。其二为“替代”效应,它表现为企业数字化转型通过提高代理效率,对现金股利的治理功能产生替代,使企业出于节约资金的目的削减现金股利。在该效应下,数字化转型对现金股利的负向作用仅在内外部监督较强的企业中显著。进一步研究发现,数字化转型促使企业将更多的留存收益用于非股利支出,这再次验证了“资金面”作用路径。总之,本文全面地分析了企业数字化转型对现金股利政策的影响及其理论解释,在理论上为企业数字化转型以及股利政策研究提供了新视角,在实践上则有助于企业数字化转型与财务决策的统筹安排,促进数字经济健康发展。

Behavioral Finance Theory and Its Application in Investment Decision

Behavioral finance theory is constantly relaxing or even abandons traditional financial theory rational man assumptions and the efficient market hypothesis, based on the decision-making process to the actual person＇s psychological characteristics as variables studied financial market vision, such as asset pricing and portfolio a series of questions theoretical system. In this paper, from home and abroad on behavioral finance theory, based on the current situation in our country from the company＇s investment policy analysis behavioral finance theory in corporate finance in the application, in order for some of our corporate decision makers to provide a non-decision against the company fully rational and non-efficient market investment strategy.

财务数智化对商业分析影响研究——基于A公司的案例分析

本文以A公司为案例,探索财务数智化对商业分析的影响及其作用机制。研究发现:①财务数智化通过数据分析和智能工具应用实现信息提供效率和质量提升,使商业分析从信息提供者变为决策过程参与者,实现了商业分析目标的优化;②财务数智化通过推动企业对财务数据的挖掘以及财务与业务部门的融合,促使商业分析从单一财务维度模型转变为多维度模型;③财务数智化通过增强企业对历史数据、实时数据以及未来趋势的分析和预测能力,从业务背景理解、样本选取制定、数据偏差处理和分析结果应用四个方面提高商业分析的整体质量。本文丰富了财务数智化经济后果的研究,亦为其他企业提供了利用数智化技术优化商业分析的实践指导。

结直肠癌患者决策自我效能及智谋对其经济毒性的影响

目的调查结直肠癌患者的经济毒性现状,分析其影响因素。方法采用一般资料调查表、癌症患者报告结局的经济毒性量表、中文版决策自我效能量表、智谋量表对长沙市某三级甲等医院255例结直肠癌患者进行调查。结果结直肠癌患者的经济毒性得分为18.00(13.00,23.00)分;决策自我效能、智谋的得分均与经济毒性得分呈正相关(P<0.01);多元线性回归分析结果显示,确诊疾病前职业、家庭人均月收入、决策自我效能、智谋是结直肠癌患者经济毒性的主要影响因素(P<0.01或P<0.05)。结论结直肠癌患者经济毒性处于轻度水平,可针对决策自我效能低、智谋低等影响因素制订个性化干预措施,以缓解结直肠癌患者的经济毒性,促进心理健康,改善疾病预后。

基于D-I-M协同模型的企业数字化转型财务管理风险识别研究

数字化正在重塑经济发展的轨道,成为赋能经济增长新动力。精准识别财务管理风险中的关键指标及其相互关系,对企业更好地完成数字化转型尤为关键。融合企业人力、运营、财务、环境4个基本维度,从链式传导视角构建转型背景下企业财务管理风险指标体系。通过决策试验与评价实验室(DEMATL)法,分析各影响因素之间中心度和原因度关系,并利用解释结构模型(ISM),将矩阵进一步分析得到影响因素的层级划分,归纳影响因素之间的内在指向关系,最后运用交叉影响矩阵相乘(MICMAC)法计算各因素的驱动—依赖关系以判断其属性类别。提出通过D-I-M协同分析的方法,识别财务管理风险路径,为企业进行多链融合数字化转型、规避财务管理风险提供参考。

金融素养高的农户更愿意创业吗?——基于异质性信贷约束视角

基于14528个农户样本数据,实证分析了农户金融素养是否及如何影响其创业进入决策.研究发现:(1)金融素养对农户是否创业存在显著正向影响,金融素养水平较高的农户更愿意创业.(2)信贷约束在金融素养与农户创业决策间发挥中介作用.其中,需求型及供给型信贷约束均发挥中介作用,需求型信贷约束的中介作用贡献度更高,说明金融素养主要通过缓解需求型信贷约束促进农户创业.(3)与金融素养水平较低的农户相比,信贷约束对金融素养较高的农户创业决策抑制作用更显著.该文提出了着力农户金融教育、适当缓解供给型信贷约束、着重缓解需求型信贷约束、实施倾斜性信贷政策等建议.

混合回收下风险规避闭环供应链定价与融资决策

在市场需求不确定且制造商和零售商同时回收废旧品的背景下,针对零售商资金短缺问题,考虑零售商和制造商的风险规避行为,分别构建银行贷款、延迟支付和两者组合融资决策下的Stackelberg决策模型。从理论上分析了不同情形下零售商和制造商的最优定价决策和最优融资选择,并通过算例分析进行了验证。研究表明:制造商和零售商应根据融资利率和彼此的风险规避程度调整正向供应链中的产品定价,且零售商的定价还应考虑融资决策选择的影响,而对于废旧品的回收定价应根据剩余再制品的处理价格进行定价,且零售商还要同时考虑回收竞争强度的影响。在融资方面,延迟支付总是制造商和零售商的最优选择。

大数据时代的企业财务管理研究

大数据时代背景下,企业财务管理迎来了新的机遇和挑战。为提升企业核心竞争力、强化企业财务管理水平,文章分析了企业财务管理中存在的问题,从更新财务管理理念、提升财务决策能力、加强数智化建设和提高管理人员素质的角度探讨了大数据时代的企业财务管理优化及改革的实践策略,以期为推动企业持续健康发展提供帮助和参考。

用审计结果促进企业财务管理及会计核算的策略研究

在现代商业环境中,企业的财务管理和会计核算是确保企业稳定运营、可持续发展的重要组成部分。然而,由于信息不对称、内部控制不完善等原因,企业的财务报表可能存在错误和不准确的情况,给企业决策带来不确定性。审计作为一种独立的评估机制,通过对企业财务报表的审查和验证,揭示了财务报表的真实性和准确性,为企业提供了可靠的决策依据。

人工智能与企业财务管理融合优化策略研究

人工智能在财务数据分析、决策支持、自动化财务流程、欺诈检测与风险管理、提供财务智能助手与虚拟财务顾问以及提供科学的风险评估与投资决策等方面发挥着重要作用。但在人工智能环境下财务管理融合创新面临着技术应用条件复杂性、法律监管要求严格、人机协作困难等问题。为应对这些挑战,建议建立内部知识共享平台与交流机制,组建法律顾问团队,提升人工智能系统的透明度与可解释性,以期实现人工智能与财务管理部门的有效协作,推动财务管理实践的创新与发展。