Financial Liquidity and Debt Recovery Efficiency Forecasting in a Small Industrial Enterprise
نویسندگان
چکیده
Rational small business management necessitates the development of a system for recording important internal information. Companies are obliged to collect statistical data that mainly serves fiscal needs. Exemplary use such significant entails financial liquidity (LIQt) and debt recovery efficiency (EVINDt) measures. This work presents constructions measures manner their application when they accrue in form time series. Both these should remain feedback. Feedback complicates forecasting each variables make up this relationship. In existing practice, forecasts have been estimated using empirical equations reduced-form model. Such forecasts—in case an econometric micromodel—exhibit synchronization properties. paper interdependent describing relationship between collection efficiency. An model was used build both characteristics business. iterative method from structural-form used, which guarantees under feedback conditions. The current reduced results divergent not useful management. They can also lead wrong decisions. consideration, forecast value (convergence) obtained after five nine iterations. more distant forecasted period is, greater number iterations required synchronize forecasts.
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ژورنال
عنوان ژورنال: Risks
سال: 2022
ISSN: ['2227-9091']
DOI: https://doi.org/10.3390/risks10030066