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Research on the Construction of Risk Early Warning Mechanism in Enterprise Financial Management

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Feb 27, 2025

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Figure 1.

Preliminary framework of risk early warning mechanism for enterprise financial management
Preliminary framework of risk early warning mechanism for enterprise financial management

Figure 2.

Data types
Data types

Figure 3.

Architecture of financial risk data acquisition layer
Architecture of financial risk data acquisition layer

Figure 4.

Strategy for analysing early warning signals
Strategy for analysing early warning signals

Figure 5.

Structure of artificial neural network
Structure of artificial neural network

Figure 6.

Schematic diagram of the structure of the risk response layer
Schematic diagram of the structure of the risk response layer

Figure 7.

Financial risk early warning model
Financial risk early warning model

Financial data of a company from 2008~2015

Year Working capital/total assets Retained earnings/total assets EBIT/total assets Market value of shareholders' equity/total assets Sales revenue/total assets Financial position
2008 0.30 0.60 0.08 2.1 0.70 Crisis
2009 0.55 0.45 0.12 3.9 0.95 Normal
2010 0.25 0.70 0.05 1.5 0.50 Crisis
2011 0.45 0.40 0.25 4.2 1.10 Normal
2012 0.20 0.75 0.03 1.3 0.45 Crisis
2013 0.65 0.30 0.18 5.0 1.30 Normal
2014 0.35 0.55 0.10 2.5 0.80 Crisis
2015 0.60 0.35 0.20 4.8 1.15 Normal

Prediction results of each model

Sample True risk management costs (millions) Linear regression models Support vector machines Artificial neural networks
1 120 125 118 120
2 220 215 225 220
3 100 105 97 100
4 350 340 355 350
5 180 185 178 180
6 300 290 310 300
7 210 208 212 210
8 400 395 405 400

Financial Risk Records And Control Costs Of A Company For 8 Years

Sample Number of employees Annual revenue (millions) Industry risk rating Historical risk events Corporate credit score Actual risk control costs (millions)
1 150 80 4 1 85 120
2 300 200 6 3 78 220
3 120 50 3 0 92 100
4 500 350 8 6 60 350
5 200 120 5 2 82 180
6 450 300 7 5 65 300
7 250 150 6 2 80 210
8 400 250 9 7 55 400
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