scholarly journals Liquidity Traps and Monetary Policy: Managing a Credit Crunch

2020 ◽  
Vol 12 (3) ◽  
pp. 110-138
Author(s):  
Francisco J. Buera ◽  
Juan Pablo Nicolini

We study a model with heterogeneous producers that face collateral and cash-in-advance constraints. A tightening of the collateral constraint results in a credit-crunch-generated recession that reproduces some features of the financial crisis that unraveled in 2007 in the United States. We use the model to study the effects, following a credit crunch, of alternative monetary and fiscal policies. (JEL E31, E44, E52, E62, G01, H63)

2018 ◽  
Vol 64 (3) ◽  
pp. 542-575 ◽  
Author(s):  
Derek J. Harmon

This study investigates what happens when a prominent leader explicitly reaffirms the taken-for-granted assumptions underlying an institution. While such efforts are usually made to reinforce the institution, I theorize that they actually destabilize the institution and create collective uncertainty by reopening the very considerations that people take for granted. Using speeches made by the chair of the United States Federal Reserve from 1998 to 2014, I demonstrate that reaffirming the taken-for-granted assumptions underlying the monetary policy framework creates uncertainty in the broader financial market. This market reaction is also influenced by emotions present at the time of the speech that shape how the event is interpreted. Speeches conveyed in an overall more positive tone suppress this reaction, while more fear in the business media amplifies it. Moreover, supplementary analyses conducted on speeches during the financial crisis suggest that when the taken-for-grantedness of these assumptions has weakened, reaffirming them no longer creates uncertainty to the same extent. This study expands our understanding of the consequences of communication in market contexts, raises important questions about the trade-offs between public transparency and market stability, and contributes new insights to research on the cognitive and emotional microfoundations of institutions.


Author(s):  
Aref Emamian

This study examines the impact of monetary and fiscal policies on the stock market in the United States (US), were used. By employing the method of Autoregressive Distributed Lags (ARDL) developed by Pesaran et al. (2001). Annual data from the Federal Reserve, World Bank, and International Monetary Fund, from 1986 to 2017 pertaining to the American economy, the results show that both policies play a significant role in the stock market. We find a significant positive effect of real Gross Domestic Product and the interest rate on the US stock market in the long run and significant negative relationship effect of Consumer Price Index (CPI) and broad money on the US stock market both in the short run and long run. On the other hand, this study only could support the significant positive impact of tax revenue and significant negative impact of real effective exchange rate on the US stock market in the short run while in the long run are insignificant. Keywords: ARDL, monetary policy, fiscal policy, stock market, United States


Author(s):  
Steven L Schwarcz

Securitisation represents a significant worldwide source of capital market financing. European investors commonly invest in asset-backed securities issued in U.S. securitisation transactions, and vice versa One of the key goals of the European Commission's proposed Capital Markets Union (CMU) is to further facilitate securitisation as a source of capital market financing as a viable alternative to bank-based finance for companies operating in the EU. To that end, this chapter explains securitisation and attempts to put its rise, its decline after the global financial crisis, and its recent CMU-inspired revival into a global perspective. It examines not only securitisation's relationship to the financial crisis but also post-crisis comparative regulatory approaches in the EU and the United States.


2015 ◽  
Author(s):  
Ali Alichi ◽  
Kevin Clinton ◽  
Charles Freedman ◽  
Ondra Kamenik ◽  
Michel Juillard ◽  
...  

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