FOREIGN EXPERIENCE IN ASSESSING COLLATERAL FOR BANK LOANS: COMPARATIVE ANALYSIS OF APPROACHES IN THE USA, GERMANY AND UK
PDF

Keywords

collateral assessment
bank loans
foreign experience
USA
Germany

How to Cite

Mirtursunova, D. (2023). FOREIGN EXPERIENCE IN ASSESSING COLLATERAL FOR BANK LOANS: COMPARATIVE ANALYSIS OF APPROACHES IN THE USA, GERMANY AND UK. Economics and Education, 24(5), 83–86. https://doi.org/10.55439/ECED/vol24_iss5/%x

Abstract

This paper is a thorough analysis of foreign experience in assessing collateral for bank loans. Focusing on examples from the US, Germany and the UK, the study reveals different approaches and strategies adopted in these countries. The article examines the key principles and methods of valuation, their advantages and disadvantages, as well as current challenges and prospects in the field of collateral valuation.

https://doi.org/10.55439/ECED/vol24_iss5/%25x
PDF

References

Levy, D. and Schuck, E. (1999), "The influence of clients on valuations", Journal of Property Investment & Finance, Vol. 17 No. 4, pp. 380-400.

Chaney, T., D. Sraer, and D. Thesmar, 2012, "The Collateral Channel: How Real Estate Shocks affect Corporate Investment," American Economic Review 102, 2381- 2409.

The International Bank for Reconstruction and Development / The World Bank Report.Washington. ISBN 0-8213-6077-9.2005.

Gorton G. and G. Ordonez, 2012, “Collateral Crises,” NBER Working Papers, No. 17771, National Bureau of Economic Research, Inc.

D. Duffie and N. Garleanu, “Risk and valuation of collateralized debt obligations,” Financial Analysts Jour- nal, Vol. 57, No. 1, pp. 41–59, 2001.

Cheong, Hyongmook, Boyoung Kim, and Ivan Ureta Vaquero. 2023. Data Valuation Model for Estimating Collateral Loans in Corporate Financial Transaction. Journal of Risk and Financial Management 16: 206.

Mhlanga, David. 2021. Financial Inclusion in Emerging Economies: The Application of Machine Learning and Artificial Intelligence in Credit Risk Assessment. International Journal of Financial Studies

Fisher, J. D., Gatzlaff, D. H., Geltner, D. M., & Haurin, D. R. (2003). Controlling for the impact of variable liquidity in commercial real estate price indicators. Real Estate Economics, 31(2), 269-303.

Ghent, A. C., & Owyang, M. T. (2010). Is housing the business cycle? Evidence from US cities. Journal of Urban Economics, 67(3), 336-351.

Goodhart, C., & Hofmann, B. (2008). House prices, money, credit, and the macroeconomy. Oxford Review of Economic Policy, 24(1), 180-205.

Hwang, M., Quigley, J. M., & Sirmans, C. F. (2005). Price discovery in time and space: The course of condominium prices in Singapore. Journal of Real Estate Finance and Economics, 30(2), 165-183.

Larsson, J. P., & Lyhagen, J. (2007). Inflation and house prices: theory and evidence from 14 EU countries. European Journal of Housing Policy, 7(2), 215-233.

Tsolacos, S., Brooks, C., & Nneji, O. (2014). On the time-varying relationship between securitized real estate returns and macroeconomic risk: A structural time series approach. The Journal of Real Estate Finance and Economics, 48(1), 74-94.

Wyly, E., & Hammel, D. (1999). Islands of decay in seas of renewal: Housing policy and the resurgence of gentrification. Housing Policy Debate, 10(4), 711-771.

Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Copyright (c) 2023 Economics and education