Importance This paper describes the existing methods of default probability term structure modeling and the disadvantages that limit their application. Objectives The paper aims to give an effective offer to lenders on the construction of a method of estimating the probability of default of a corporate borrower, taking into account the changed term to the end of the credit transaction, not contradicting the new IFRS 9 standard. Methods For the study, I used an economic and statistical analysis, and optimization of parameters of special kind of distributions on statistical data of rating agencies. Results Using the consolidated empirical data of rating agencies, I attribute a two-parameter formula of default probability term structure, which does not contradict the requirements of the international standard IFRS 9 for the corporate borrowers sector, that does not have enough internal data to build its own Lifetime PD internal model. Conclusions and Relevance The presented study substantiates the formula of calculation of a default probability term structure in the best fitting distribution pool. It is calibrated on external empirical and statistical data of rating agencies, including a 44-year period. The formula is explicit and does not require complex computations. The results obtained can be used to calculate the rate of reserves for credit assets, estimate the minimum (break-even) lending rate taking into account the risk and the term of the transaction, optimize the term of the transaction, and for other possible applications.
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