Abstract

This paper adopts the information entropy fuzzy hierarchical analysis model to conduct an in-depth study and analysis of the green investment risk evaluation system and to process and analyze its indicators. The entropy method-fuzzy hierarchical analysis is used to evaluate the green financial capital operation risk. Firstly, I point out the research trends and shortcomings, define the concepts of fund operation, operation risk, risk evaluation, and green finance, and elaborate the relevant basic theories to lay the theoretical foundation for the later research; secondly, I identify the external and internal fund operation risks by describing the development plan, overall operation, and specific operation plan of green finance; then, according to the existing fund operation risks, I integrate commercial banks’ risk. Then, based on the existing fund operation risks, I integrate the risk types of commercial banks, combine the characteristics of green finance business, design the green finance fund operation risk evaluation index system, initially determine the index weights through hierarchical analysis method, introduce the entropy value method to improve the index weights, and use the fuzzy comprehensive evaluation method to obtain the final evaluation results: in the process of green finance fund operation, internal risk is the most important risk, among which credit risk and financial innovation risk have the most significant impact; external risk is the second most important risk, among which economic risk and political risk are the most important. External risks are the second most important risks, among which economic risks and political risks are more obvious. The risks are judged from single-factor aspects, and the scoring values are used to determine the higher possibility of schedule risks caused by human factors, and finally, the schedule risk level of the reservoir project is determined to be medium through a comprehensive evaluation. The reasonableness of the calculation results shows that the entropy theory and the fuzzy comprehensive evaluation method are still applicable to the assessment of green investment risks.

Highlights

  • As market competition continues to become more complex, many world-renowned companies have been acquired or gone bankrupt due to failures in risk management

  • This paper introduces risk indicators reflecting the characteristics of green finance into the risk evaluation index system of commercial banks’ capital operation, establishes a scientific risk evaluation index system of green finance capital operation, and provides a theoretical basis for improving the risk

  • Based on the current situation of green finance business development, I comprehensively analyzed the main risks it may face in the process of fund operation, firstly introduced AHP-fuzzy comprehensive assessment method to rate the risks of crowdfunding investment projects, focused on improving the traditional intuitionistic fuzzy ranking model, and proposed an interval intuitionistic fuzzy ranking method considering experts’ hesitation preference to realize the risk ranking of several crowdfunding projects

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Summary

Introduction

As market competition continues to become more complex, many world-renowned companies have been acquired or gone bankrupt due to failures in risk management. As an emerging investment and financing tool, equity crowdfunding has the dual attributes of Internet and finance, and the sources of risk are relatively extensive, and the risk factors are more complex, and there are relatively few academic results that quantitatively study the risk of equity crowdfunding [2]. This paper identified and evaluated the investment risks in equity crowdfunding, classified and controlled the sensitivity of various potential risk indicators, and provided new analysis perspectives, ideas, and methods for the risk management theory of Internet equity crowdfunding. This paper identifies and evaluates the investment risks in equity crowdfunding, classifies and controls the sensitivity of various potential risk indicators, and provides a new analytical perspective, ideas, and methods for the risk management theory of Internet equity crowdfunding

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