loan market
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2022 ◽  
Author(s):  
Jan Böhle

The book examines the legal relationships in international loan syndicates based on the model contracts developed by the Loan Market Association (LMA). German law qualifies loan syndicates as partnerships. This qualification is questioned as it conforms neither to the expectations nor to the needs of the parties involved. With a constant comparative law approach (primarily England and France), the work brings together legal doctrine, legal theory and economics in order to develop practical solutions with regard to syndicate voting and duties of information in an LMA loan syndicate as well as the interpretation and judicial review of an LMA syndicate agreement.


Author(s):  
S. M. Borodachev

The paper proposes a mechanism for the impact of changes in the key rate on the volume of newly issued loans. The volume depends on the price (interest rates on loans), and the price depends on the key rate and the actual consumption of loans in the previous period (generalized cobweb cycle). The model was estimated by a Kalman filter, adequacy was confirmed by simulation. It is possible to forecast the average rate on loans for a month in advance according to the information published by the Central Bank of the Russian Federation (CB). By playing various scenarios for changing the key rate, it was found that in quiet periods of economic development, the usual laws of supply and demand operate in the loan market and by raising the key rate, you can reduce inflation. In the turbulent (overheated) state of the economy, an increase in the key rate can, on the contrary, provoke an increase in the issuance of loans and unconventional manipulations with the key rate are required.


Author(s):  
S. M. Borodachev

The paper proposes a mechanism for the impact of changes in the key rate on the volume of newly issued loans. The volume depends on the price (interest rates on loans), and the price depends on the key rate and the actual consumption of loans in the previous period (generalized cobweb cycle). The model was estimated by a Kalman filter, adequacy was confirmed by simulation. It is possible to forecast the average rate on loans for a month in advance according to the information published by the Central Bank of the Russian Federation (CB). By playing various scenarios for changing the key rate, it was found that in quiet periods of economic development, the usual laws of supply and demand operate in the loan market and by raising the key rate, you can reduce inflation. In the turbulent (overheated) state of the economy, an increase in the key rate can, on the contrary, provoke an increase in the issuance of loans and unconventional manipulations with the key rate are required.


Author(s):  
Agnieszka Sadowa

Abstract The study analyses the changes in financing the purchase of residential real estate based on a mortgage in Poland, caused by the outbreak of the COVID-19 pandemic in its initial stage, that is, the period from March to September 2020. The research problem is the impact of the pandemic on the process of granting and repaying loans for housing purposes. Banking institutions tightened the terms of granting financing. People who received financing earlier may, however, benefit from assistance in paying off the debt. The research hypothesis assumes the negative consequences of the COVID-19 pandemic for the consumers of the housing loan market in the analysed period. The research methods used are the analysis of statistical data and facts. The author looks at the situation on the real estate market and the situation on the housing loan market in 2020. The study then highlights the actions of lending banks and the actions of buyers in the first pandemic months.


Author(s):  
Gregory J. Cohen ◽  
Jacob Dice ◽  
Melanie Friedrichs ◽  
Kamran Gupta ◽  
William Hayes ◽  
...  

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