Моделі ціноутворення кредитних деривативів

Abstract

Derivatives play an important role in the processes that take place in the global economy and economic growth. They are critical for hedging risks in the banking sector, managing the interest rate in the activities of pension funds, satisfying insurance claims for insurers and other market participants, i. e. reducing uncertainty arising from fluctuations in prices, credit rates, currency fluctuations, interest rates, etc. Today, they are actively used in the world practice of all industry sectors. The aim of the article is to develop pricing models for credit derivatives, taking into account the relationship between credit derivatives (CD) and structured credit products (SCP), as well as on the basis of identifying differences in the results of credit correlation of defaults, analyzing the evolutionary and essential characteristics of the CD and SCP markets. The authors systematized and classified them; their structural characteristics are provided; the main trends characteristic of the CD and SCP markets in the context of the markets of traditional derivatives are studied; the method of their design with the help of clinical documentation is determined; the major aspects of their modeling and pricing are considered, also an own credit product is designed and the spread is calculated using the pricing model. The article considers the problem of choosing an approach for assessing and calculating the correlation of defaults, which is an integral part of the pricing models of credit derivatives. On the basis of the given methodology for designing the SCP with the help of CD and the key aspects of modeling and pricing of CD and SCP, a basket credit default swap was designed on the basis of three corporate names. The designed product meets all the basic requirements for standard basket products in terms of content. The calculations were made based on the use of two different copulas to assess the correlation of defaults. The results can be used to design and evaluate a derivative on the correlation risk of issuers.