• A
  • A
  • A
  • ABC
  • ABC
  • ABC
  • А
  • А
  • А
  • А
  • А
Regular version of the site

Comparison of Market and Credit Indicators of Default Probability of Corporations in the Russian Market

Student: Aliyev Mirzakishi

Supervisor: Mikhail Vyacheslavovich Pomazanov

Faculty: Faculty of Economic Sciences

Educational Programme: Financial Markets and Financial Institutions (Master)

Year of Graduation: 2021

The paper examines the relationship between the market and credit indicators of the probability of default(PD). For the purposes of the study, corporate bonds included in the Cbonds-CBI RU 1-3Y index were selected. The credit default probability indicator is based on the Central Bank's data on overdue accounts by type of economic activity. PD is calculated using the Hodrick-Prescott filter. And the spread is the difference between the yield of corporate bonds and Government bonds(OFZ) with the corresponding durations. The result of the analysis revealed a positive correlation between the spread and default. It is confirmed that the credit spread is a risk-determining indicator in the Russian corporate bond market. Keywords: G-curve; credit spread; default probabilities;

Student Theses at HSE must be completed in accordance with the University Rules and regulations specified by each educational programme.

Summaries of all theses must be published and made freely available on the HSE website.

The full text of a thesis can be published in open access on the HSE website only if the authoring student (copyright holder) agrees, or, if the thesis was written by a team of students, if all the co-authors (copyright holders) agree. After a thesis is published on the HSE website, it obtains the status of an online publication.

Student theses are objects of copyright and their use is subject to limitations in accordance with the Russian Federation’s law on intellectual property.

In the event that a thesis is quoted or otherwise used, reference to the author’s name and the source of quotation is required.

Search all student theses