Liquidity Shocks, Price Volatilities, and Risk-managed Strategy: Evidence from Bitcoin and Beyond

Author(s):  
Tao Tang ◽  
Yanchen Wang
Keyword(s):  
Author(s):  
Nicole M. Boyson ◽  
Jean Helwege ◽  
Jan Jindra

2014 ◽  
Author(s):  
Jason Foran ◽  
Mark C. Hutchinson ◽  
Niall O'Sullivan

Author(s):  
Rui A. Albuquerque ◽  
Shiyun Song ◽  
Chen Yao

2019 ◽  
Vol 55 (4) ◽  
pp. 1131-1158
Author(s):  
Rafael P. Ribas

Abstract This paper exploits a liquidity shock from a welfare program in Brazil to investigate the role of financial constraints, in opposition to general equilibrium mechanisms, in explaining entrepreneurship. Previous research focuses exclusively on how liquidity changes recipients’ behavior through direct effects on reducing constraints. However, liquidity shocks may also produce spillovers from recipients to others and thereby indirectly affect entrepreneurial decisions. This paper presents a method for decomposing the liquidity shock into direct effects associated with relieving individual constraints, and indirect effects associated with spillovers to other individuals. Results suggest that the program, which assists 20 percent of Brazilian households, increased the number of small entrepreneurs by 10 percent. However, this increase is entirely driven by the indirect effect. Further tests suggest that this effect is associated with an increase in private transfers between households. Thus, entrepreneurship tends to respond more to the interaction between households than to financial constraints.


Author(s):  
Julian Franks ◽  
Nicolas Serrano-Velarde ◽  
Oren Sussman

Abstract Lending marketplaces aimed at directly connecting retail lenders and borrowers retreat from auctions and, instead, set prices and allocate credit on their own, despite evidence that retail investors possess valuable soft and nonstandard information. We investigate this puzzle by analyzing a unique data set of 7,455 auctions and 34 million bids from a leading British peer-to-business platform. We find that the platform was vulnerable to liquidity shocks, resulting in sizable deviations from information efficiency. Deviations increased over time because of a growing role played by noncrowd players, particularly large investors and algorithms.


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