预警模型公司财务论文提纲

论文题目：基于BP模型的职业教育公司财务风险预警研究 ——以K公司为例

摘要：近年来,伴随着我国经济的不断发展及产业结构的逐渐转型,技能型人才是当今最为缺乏的人才之一,相对于传统的职业教育学校而言,我国职业教育公司作为一种补充力量得到了长足发展。但是,目前职业教育公司种类繁多、财务风险意识淡薄、缺乏正确的财务风险预警机制,这些直接会导致企业面临财务危机的风险。文章的主体结构共分为七部分。第一部分是绪论,要介绍文章的的研究背景、意义、研究方法、研究内容和文章的逻辑结构框架。第二部分是文献综述,主要阐述了论文的核心概念、围绕核心概念国内外相关研究、以及以往研究的不足与缺陷,进一步为案例研究奠定理论基础。第三部分是案例描述,主要介绍K职业教育公司的基本概况、发展历史,财务风险预警模型的设计思路及具体实施步骤。第四部分是基于BP的K公司财务预警分析,建立适合职业教育公司的财务风险预警模型,并得出K公司整体财务风险情况。第五部分是财务风险的具体分析及原因,根据BP神经网络模型的分析结果,多角度去分析深挖财务风险问题具体表现及其产生的根本原因。第六部分是建议和对策,在对问题及其原因分析的基础上,针对性地提出解决问题的系统思路,形成完整的问题解决方案,根据不同结果、分层制定K公司防范财务风险的具体策略和改进措施等。第七部分是结论与展望,对于文章提出的措施进行总结,找出不足之处,并对未来的财务风险预警相关理论在职业教育企业领域的研究进行展望。本文创新之处在于以BP神经网络模型为核心理论、同时结合具体的财务分析法,通过对该公司财务风险预警评价,提出有针对性的具体改进措施,以期使得企业能提前注意到财务风险,建立适合本公司的财务风险预警机制,减少财务风险造成的损失。同时BP模型运用到职业教育行业领域,对其他相关公司的财务风险预警的建立和完善起到借鉴作用。

关键词：财务风险预警;BP模型;K公司

学科专业：工商管理硕士（专业学位）

ACKNOWLEDGEMENTS

ABSTRACT

摘要

LIST OF ABBREVIATIONS

1 INTRODUCTION

1.1 Research background

1.2 Research purpose and significance

1.2.1 Research purpose

1.2.2 Research significance

1.3 Research methods

1.3.1 Document research method

1.3.2 Case study method

1.3.3 Combination of quantitative and qualitative analysis

1.4 Research content and logical structure

1.4.1 Research content

1.4.2 Logical structure

2 LITERATURE REVIEW

2.1 Overview of financial risk early warning research

2.1.1 Overview of foreign research

2.1.2 Overview of domestic research

2.2 Financial risk early warning theory

2.2.1 Financial risk early warning concept

2.2.2 Financial risk early warning function

2.2.3 Significance of financial risk early warning

2.2.4 Comparison and analysis of financial risk early warning models

2.3 BP neural network model

2.3.1 Overview of artificial neural network

2.3.2 BP algorithm

2.3.3 BP neural network model

3 CASE DESCRIPTION

3.1 Company K

3.2 Organizational structure of the company

3.3 Current financial situation of the company

3.3.1 Main accounting data and financial indicators of company K

3.3.2 Total number of shareholders and shareholding of top ten shareholders of company K at the end of the reporting period

3.3.3 core indicators of K Company

4 FINANCIAL RISK EARLY WARNING ANALYSIS OF K COMPANY BASED ON BP

4.1 Design idea of financial risk early warning model

4.2 Sample selection and analysis

4.3 Design of early warning index system

4.3.1 Selection principle of early warning indicators

4.3.2 Construction of early warning index system

4.3.3 Data preprocessing

4.4 Determination of financial risk early warning model

4.4.1 Selection of software

4.4.2 Structure design of neural network

4.4.3 Training of neural network model

4.4.4 Simulation test and results of neural network model

4.5 Financial risk early warning results of company K

5 PECIFIC ANALYSIS AND CAUSES OF FINANCIAL RISK EARLY WARNING

5.1 Single financing method and unreasonable financial structure

5.2 Large scale expansion leads to out of control cost management

5.3 The turnover rate of accounts receivable is reduced and there is no effective collection mechanism

6 SUGGESTIONS AND COUNTERMEASURES

6.1 Improve the company's relevant systems and risk prevention management mechanism

6.1.1 Improve the internal system of the company

6.1.2 Improve financial risk prevention mechanism

6.2 Strengthen financial risk early warning measures of the company

6.2.1 Broaden financing channels

6.2.2 Reasonable adjustment of capital structure

6.3 Improve fund management efficiency

6.4 Strengthen the strategic management ability of the company

6.4.1 Scientific selection of investment projects

6.4.2 Prevention and control of risks brought by investment projects

7 CONCLUSION AND PROSPECT

7.1 Conclusion

7.2 Prospect

REFERENCE

APPENDIX