Implicit Contracts with Asymmetric Information and Bankruptcy: The Effect of Interest Rates on Layoffs

1985 ◽  
Vol 52 (3) ◽  
pp. 427 ◽  
Author(s):  
Roger E. A. Farmer
Keyword(s):  
Asymmetric Information ◽  
Interest Rates ◽  
Implicit Contracts

Implicit Contracts Under Asymmetric Information

1983 ◽  
Vol 98 ◽  
pp. 123 ◽  
Author(s):  
Sanford J. Grossman ◽  
Oliver D. Hart
Keyword(s):  
Asymmetric Information ◽  
Implicit Contracts

Credit rationing, implicit contracts, risk aversion, and the variability of interest rates

1992 ◽  
Vol 14 (2) ◽  
pp. 337-347 ◽  
Author(s):  
Nilss Olekalns ◽  
Hugh Sibly
Keyword(s):  
Risk Aversion ◽  
Interest Rates ◽  
Credit Rationing ◽  
Implicit Contracts

Federal Reserve Information and the Behavior of Interest Rates

2000 ◽  
Vol 90 (3) ◽  
pp. 429-457 ◽  
Author(s):  
Christina D Romer ◽  
David H Romer
Keyword(s):  
Monetary Policy ◽  
Asymmetric Information ◽  
Interest Rates ◽  
Federal Reserve ◽  
The Public ◽  
Inflation Forecasts

This paper tests for the existence of asymmetric information between the Federal Reserve and the public by examining Federal Reserve and commercial inflation forecasts. It demonstrates that the Federal Reserve has considerable information about inflation beyond what is known to commercial forecasters. It also shows that monetary-policy actions provide signals of the Federal Reserve's information and that commercial forecasters modify their forecasts in response to those signals. These findings may explain why long-term interest rates typically rise in response to shifts to tighter monetary policy. (JEL E52, E43, D82)

scholarly journals Determinants of Bank-Tunisian SMEs Funding in a Context of Information Asymmetry

2021 ◽  
Vol 13 (1) ◽  
pp. 1
Author(s):  
Syrine Ben Romdhane ◽  
Emna Jebali
Keyword(s):  
Asymmetric Information ◽  
Interest Rates ◽  
Small And Medium Enterprises ◽  
Positive Signal ◽  
Net Worth ◽  
International Bank ◽  
Theoretical Assumptions ◽  
Trade Credits ◽  
Medium Enterprises ◽  
Linear Regressions

This paper explores the determinants of access to finance for small and medium enterprises (SMEs) in the context of asymmetric information. Our sample consisted of 250 Tunisian SMEs financed by Arab International Bank of Tunisia, broken down by sector of activity, size and region. The results of multiple linear regressions showed that size, interest rate, trade credits and profitability have a significant influence on the total volume of credit. The bank considers the size of commercial and industrial SMEs, and those located in the District of Tunis and the Center-East, as a positive signal when considering a loan. The bank also considers high interest rates when considering loans to commercial SMEs, microenterprises and SMEs located in the District of Tunis. As far as innovation is concerned, the results showed that service SMEs, micro-enterprises and SMEs located in the District of Tunis and in the Center-East, find it difficult to get a credit. It is interesting to note that the bank neglects liquidity issues and the net worth of the SME in its financing decision, which contradicts the theoretical assumptions. Finally, we conclude that bank's financing of Tunisian SMEs is characterized by conditions dominated by the problem of asymmetric information.

Asymmetric Information Weighting in Belief Updating and the Effect on Mid-Sequence Evaluation

1996 ◽  
Author(s):  
Gal Zauberman ◽  
Dan Ariely
Keyword(s):  
Asymmetric Information ◽  
Belief Updating
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