MOLIYAVIY REJALASHTIRISHNING AMALDAGI MUAMMOLARI VA ULARNI YECHIMI YUZASIDAN TAKLIFLAR
DOI:
https://doi.org/10.5281/zenodo.18623010Ключевые слова:
moliyaviy rejalashtirish, ijtimoiy-iqtisodiy mazmun, iqtisodiy barqarorlik, davlat budjeti, resurslarni taqsimlash, investitsiya, bandlik, qashshoqlikni kamaytirish, turmush darajasi, raqobatbardoshlikАннотация
Ushbu maqolada zamonaviy iqtisodiy sharoitda moliyaviy rejalashtirish tizimida yuzaga kelayotgan
tizimli muammolar va ularning korxona barqarorligiga ta’siri tadqiq etilgan. Tadqiqot davomida an’anaviy rejalashtirish
usullarining kamchiliklari, xususan, prognozlarning past aniqligi va risklarni hisobga olish mexanizmlarining yetishmasligi
tahlil qilingan. Maqolada moliyaviy rejalashtirish jarayonini raqamlashtirish, ekonometrik modellashtirishni joriy etish
va "surguvchi prognozlar" (Rolling Forecasts) uslubidan foydalanish bo‘yicha ilmiy asoslangan takliflar ilgari surilgan.
Keltirilgan takliflar moliyaviy qarorlar qabul qilishda aniqlikni oshirish va resurslarni optimallashtirishga xizmat qiladi.
Библиографические ссылки
Бондаренко Т.Г., Солтаханов А.У. Необходимост финансового планированиya в условиyaх современной
экономики // Инновaционная наука. 2017. № 2-1. С. 164- 168.
Francis, J. C. (1983). Financial planning and forecasting models: An overview. Journal of Financial and Quantitative
Analysis, 18(4), 591–608.
Lee, C. F. (1982). Financial analysis and planning: An overview. Interfaces, 12(1), 1–12.
Cordova-Pozo, K., Ramirez-Portilla, A., & Schmid, A. (2023). Types of scenario planning and their effectiveness: A
literature review. Futures, 146, 103054. https://doi.org/10.1016/j.futures.2022.103054
Swan, B., & Smith, B. (2024). It’s time for CFOs to rethink scenario planning. Harvard Business Review. Retrieved
from https://hbr.org
Hull, J. C. (2018). Risk management and financial institutions (5th ed.). Wiley Finance.
Zhang, Y., & Wang, J. (2021). Application of Monte Carlo simulation in corporate financial risk management. Journal of
Applied Finance & Banking, 11(6), 45–61.
Brynjolfsson, E., & McAfee, A. (2017). Machine, platform, crowd: Harnessing our digital future. W. W. Norton &
Company.
Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep learning. MIT Press.
Казмина И. В., Смолyaнинова И. В., Щеголева Т. В. Символ науки. 2016. № 4. С. 83–84.
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