BANKROTLIK XAVFINI OLDINDAN BASHORAT QILISHDA BUXGALTERIYA HISOBI VOSITALARIDAN FOYDALANISH
Abstract
Ushbu maqola bankrotlik xavfini oldindan bashorat qilishda buxgalteriya hisobi vositalaridan samarali foydalanish usullarini tahlil qiladi. Tahlillar shuni koʻrsatadiki, moliyaviy hisobotlar va koʻrsatkichlar orqali tashkilotlarning moliyaviy barqarorligini baholash, potensial xavflarni aniqlashda muhim rol oʻynaydi. Maqolada buxgalteriya balanslari, foyda va zarar hisobotlari, pul oqimlari hisobotlari va moliyaviy nisbatlar asosida bankrotlik xavfini oldindan koʻrish usullari koʻrib chiqiladi. Shuningdek, bankrotlik xavfini aniqlashda zamonaviy tahliliy vositalar va statistik modellardan, jumladan, neyron tarmoqlar kabi usullarni qoʻllash misollari ham keltirilgan. Maqola davomida, bu vositalarning afzalliklari va cheklovlari muhokama qilinib, real hayotiy holatlarga asoslangan amaliy tavsiyalar beriladi. Tadqiqot natijalari buxgalterlar, moliyaviy menejerlar va strategik rejalashtiruvchilar uchun bankrotlik xavfini boshqarishda qimmatli yoʻriqnoma boʻlib xizmat qiladi.
References
Altman, E. I. (1968). Financial Ratios, Discriminant Analysis and the Prediction of Corporate Bankruptcy. Journal of Finance, 23(4), 589-609.
Altman, E. I., & Hotchkiss, E. (2006). Corporate Financial Distress and Bankruptcy: Predict and Avoid Bankruptcy, Analyze and Invest in Distressed Debt (3rd ed.). Wiley.
Altman, E. I., & Hotchkiss, E. (2020). Corporate Financial Distress, Restructuring, and Bankruptcy: Analyze Leveraged Finance, Distressed Debt, and Bankruptcy (4th ed.). Wiley.
Beaver, W. H. (1966). Financial Ratios as Predictors of Failure. Journal of Accounting Research, 4, 71-111.
Bierstaker, J. L., Janvrin, D. J., & Lowe, D. J. (2014). An examination of audit information technology use and perceived importance. Accounting Horizons, 28(1), 1-27.
Fridson, M. S., & Alvarez, F. (2002). Financial Statement Analysis: A Practitionerʼs Guide (3rd ed.). Wiley.
Fridson, M. S., & Alvarez, F. (2011). Financial Statement Analysis: A Practitionerʼs Guide (4th ed.). Wiley.
Jans, M., Alles, M. G., & Vasarhelyi, M. A. (2014). A Field Study on the Use of Process Mining of Event Logs as an Analytical Procedure in Auditing. The Accounting Review, 89(5), 1751-1773.
Jans, M., Alles, M. G., & Vasarhelyi, M. A. (2014). A Field Study on the Use of Process Mining of Event Logs as an Analytical Procedure in Auditing. The Accounting Review, 89(5), 1751-1773.
Jones, F. L. (1987). Current Techniques in Bankruptcy Prediction. Journal of Accounting Literature, 6, 131-164.
Laitinen, E. K. (1992). Prediction of Failure of a Newly Founded Firm. Journal of Business Venturing, 7(4), 323-340.
Moehle, T., & Chul, K. (2019). The impact of regulatory changes on the financial performance of European banks. Journal of Financial Regulation and Compliance, 27(3), 333-353.
Ohlson, J. A. (1980). Financial Ratios and the Probabilistic Prediction of Bankruptcy. Journal of Accounting Research, 18(1), 109-131.
Peterson, P. P., & Fabozzi, F. J. (2012). Analysis of Financial Statements (3rd ed.). Wiley.
Piesse, J., Lee, C. F., Lin, L. W., & Kuo, H. C. (2013). Corporate Failure Prediction in Taiwan: A Multiple Discriminant Analysis. Review of Quantitative Finance and Accounting, 41(1), 119-141.
Purnanandam, A. (2021). Managing bank failure risk: The impact of regulatory interventions. Journal of Financial Economics, 139(2), 295-312.
Searcy, D. L. (2018). The Role of Big Data and Analytics in Auditing and Financial Reporting. Current Issues in Auditing, 12(1), 1-10.
Tam, K. Y., & Kiang, M. Y. (1992). Managerial Applications of Neural Networks: The Case of Bank Failure Predictions. Management Science, 38(7), 926-947.
Wild, J. J., Subramanyam, K. R., & Halsey, R. F. (2007). Financial Statement Analysis (10th ed.). McGraw-Hill.