Debt Service: Evidence Based on Consolidated Statements of Russian Companies
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Alessi, Lucia & Detken, Carsten, 2018.
"Identifying excessive credit growth and leverage,"
Journal of Financial Stability, Elsevier, vol. 35(C), pages 215-225.
- Alessi, Lucia, 2014. "Identifying Excessive Credit Growth and Leverage," Financial Stability Review, European Central Bank, vol. 1.
- Detken, Carsten & Alessi, Lucia, 2014. "Identifying excessive credit growth and leverage," Working Paper Series 1723, European Central Bank.
- Drehmann, Mathias & Juselius, Mikael, 2014.
"Evaluating early warning indicators of banking crises: Satisfying policy requirements,"
International Journal of Forecasting, Elsevier, vol. 30(3), pages 759-780.
- Mathias Drehmann, 2013. "Evaluating early warning indicators of banking crises: Satisfying policy requirements," BIS Working Papers 421, Bank for International Settlements.
- Mathias Drehmann & Mikael Juselius, 2012. "Do debt service costs affect macroeconomic and financial stability?," BIS Quarterly Review, Bank for International Settlements, September.
- Anna Burova & Konstantin Egorov & Dmitry Mukhin, 2022. "Foreign Currency Debt and Exchange Rate Pass-Through," Bank of Russia Working Paper Series wps93, Bank of Russia.
- Bruno Tissot, 2016. "Globalisation and financial stability risks: is the residency-based approach of the national accounts old-fashioned?," BIS Working Papers 587, Bank for International Settlements.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- V. Coudert & J. Idier, 2016. "An Early Warning System for Macro-prudential Policy in France," Working papers 609, Banque de France.
- Anna Burova, 2022.
"Measuring the Debt Service Ratio in Russia: A Micro-Level Data Approach,"
Russian Journal of Money and Finance, Bank of Russia, vol. 81(3), pages 72-88, September.
- Anna Burova, 2020. "Measuring the Debt Service Ratio in Russia: micro-level data approach," Bank of Russia Working Paper Series wps55, Bank of Russia.
- Detken, Carsten & Weeken, Olaf & Alessi, Lucia & Bonfim, Diana & Boucinha, Miguel & Castro, Christian & Frontczak, Sebastian & Giordana, Gaston & Giese, Julia & Wildmann, Nadya & Kakes, Jan & Klaus, B, 2014. "Operationalising the countercyclical capital buffer: indicator selection, threshold identification and calibration options," ESRB Occasional Paper Series 5, European Systemic Risk Board.
- Carsten Detken & Olaf Weeken & Lucia Alessi & Diana Bonfim & Miguel M. Boucinha & Christian Castro & Sebastian Frontczak & Gaston Giordana & Julia Giese & Nadya Jahn & Jan Kakes & Benjamin Klaus & Jan, 2014. "Operationalising the countercyclical capital buffer: indicator selection, threshold identification and calibration options," ESRB Occasional Paper Series 05, European Systemic Risk Board.
- Nikolay Hristov & Markus Roth, 2019.
"Uncertainty Shocks and Financial Crisis Indicators,"
CESifo Working Paper Series
7839, CESifo.
- Hristov, Nikolay & Roth, Markus, 2019. "Uncertainty shocks and financial crisis indicators," Discussion Papers 36/2019, Deutsche Bundesbank.
- Jean-Charles Bricongne & Leonor Coutinho & Alessandro Turrini & Stefan Zeugner, 2020.
"Is Private Debt Excessive?,"
Open Economies Review, Springer, vol. 31(2), pages 471-512, April.
- Jean-Charles Bricongne & Leonor Coutinho & Alessandro Turrini & Stefan Zeugner, 2020. "Is Private Debt Excessive?," Post-Print hal-03529890, HAL.
- Bennani, T. & Després, M. & Dujardin, M. & Duprey, T. & Kelber, A., 2014. "Macroprudential framework:key questions applied to the French case," Occasional papers 9, Banque de France.
- Antunes, António & Bonfim, Diana & Monteiro, Nuno & Rodrigues, Paulo M.M., 2018.
"Forecasting banking crises with dynamic panel probit models,"
International Journal of Forecasting, Elsevier, vol. 34(2), pages 249-275.
- António R. Antunes & Diana Bonfim & Nuno Monteiro & Paulo M.M. Rodrigues, 2016. "Forecasting banking crises with dynamic panel probit models," Working Papers w201613, Banco de Portugal, Economics and Research Department.
- Christian Castro & Ángel Estrada & Jorge Martínez, 2016. "The countercyclical capital buffer in spain: an analysis of key guiding indicators," Working Papers 1601, Banco de España.
- Beutel, Johannes & List, Sophia & von Schweinitz, Gregor, 2019. "Does machine learning help us predict banking crises?," Journal of Financial Stability, Elsevier, vol. 45(C).
- Beutel, Johannes & List, Sophia & von Schweinitz, Gregor, 2018.
"An evaluation of early warning models for systemic banking crises: Does machine learning improve predictions?,"
Discussion Papers
48/2018, Deutsche Bundesbank.
- Beutel, Johannes & List, Sophia & von Schweinitz, Gregor, 2019. "An evaluation of early warning models for systemic banking crises: Does machine learning improve predictions?," IWH Discussion Papers 2/2019, Halle Institute for Economic Research (IWH).
- Lepers, Etienne & Sánchez Serrano, Antonio, 2020.
"Decomposing financial (in)stability in emerging economies,"
Research in International Business and Finance, Elsevier, vol. 51(C).
- Lepers, Etienne & Sánchez Serrano, Antonio, 2017. "Decomposing financial (in)stability in emerging economies," ESRB Working Paper Series 39, European Systemic Risk Board.
- Mathias Drehmann & James Yetman, 2021.
"Which Credit Gap Is Better at Predicting Financial Crises? A Comparison of Univariate Filters,"
International Journal of Central Banking, International Journal of Central Banking, vol. 17(70), pages 1-31, October.
- Mathias Drehmann & James Yetman, 2020. "Which credit gap is better at predicting financial crises? A comparison of univariate filters," BIS Working Papers 878, Bank for International Settlements.
- Audit, Dooneshsingh & Alam, Nafis, 2022. "Why have credit variables taken centre stage in predicting systemic banking crises?," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 3(1).
- Tihana Skrinjaric, 2023. "Leading indicators of financial stress in Croatia: a regime switching approach," Public Sector Economics, Institute of Public Finance, vol. 47(2), pages 205-232.
- Piergiorgio Alessandri & Pierluigi Bologna & Maddalena Galardo, 2022.
"Financial Crises, Macroprudential Policy and the Reliability of Credit-to-GDP Gaps,"
IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 70(4), pages 625-667, December.
- Piergiorgio Alessandri & Pierluigi Bologna & Maddalena Galardo, 2020. "Financial crises, macroprudential policy and the reliability of credit-to-GDP gaps," Questioni di Economia e Finanza (Occasional Papers) 567, Bank of Italy, Economic Research and International Relations Area.
- Alessandri, Piergiorgio & Bologna, Pierluigi & Galardo, Maddalena, 2021. "Financial crises, macroprudential policy and the reliability of credit-to-GDP gaps," ESRB Working Paper Series 114, European Systemic Risk Board.
- Ihejirika, Peters. O, 2020. "Does the Credit-to-GDP Gap Predict Financial Crisis in Nigeria?," International Journal of Social and Administrative Sciences, Asian Economic and Social Society, vol. 5(2), pages 109-126, June.
- Tölö, Eero, 2020. "Predicting systemic financial crises with recurrent neural networks," Journal of Financial Stability, Elsevier, vol. 49(C).
- Soyoung Kim & Aaron Mehrotra, 2015. "Managing price and financial stability objectives - what can we learn from the Asia-Pacific region?," BIS Working Papers 533, Bank for International Settlements.
- repec:zbw:bofrdp:2014_011 is not listed on IDEAS
- Alessi, Lucia & Detken, Carsten, 2018.
"Identifying excessive credit growth and leverage,"
Journal of Financial Stability, Elsevier, vol. 35(C), pages 215-225.
- Alessi, Lucia, 2014. "Identifying Excessive Credit Growth and Leverage," Financial Stability Review, European Central Bank, vol. 1.
- Detken, Carsten & Alessi, Lucia, 2014. "Identifying excessive credit growth and leverage," Working Paper Series 1723, European Central Bank.
More about this item
Keywords
debt service; debt service ratio; sectoral analysis; revenue shock;All these keywords.
JEL classification:
- F31 - International Economics - - International Finance - - - Foreign Exchange
- G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
- L60 - Industrial Organization - - Industry Studies: Manufacturing - - - General
- L70 - Industrial Organization - - Industry Studies: Primary Products and Construction - - - General
- L90 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - General
NEP fields
This paper has been announced in the following NEP Reports:- NEP-CIS-2022-11-07 (Confederation of Independent States)
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bkr:wpaper:wps103. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: BoR Research (email available below). General contact details of provider: https://edirc.repec.org/data/cbrgvru.html .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.