scholarly journals Are Adverse Selection Models of Debt Robust to Changes in Market Structure?

Author(s):  
Jukka Vauhkonen



2000 ◽  
Vol 93 (1) ◽  
pp. 1-47 ◽  
Author(s):  
Bruno Jullien


2014 ◽  
Vol 44 (2) ◽  
pp. 173-195 ◽  
Author(s):  
Catherine Donnelly ◽  
Martin Englund ◽  
Jens Perch Nielsen

AbstractWe put one of the predictions of adverse-selection models to the test, using data from the Danish automobile insurance market: that there is a positive correlation between claims risk and insurance coverage. We can find a statistically significant insurance coverage--risk correlation when coverage is expressed relative to the insurance premium, but not when it is expressed in monetary terms.



2017 ◽  
Vol 62 ◽  
pp. 82-89 ◽  
Author(s):  
Iñaki Aguirre ◽  
Arantza Beitia


2014 ◽  
Vol 46 (33) ◽  
pp. 4116-4124
Author(s):  
R. Guo ◽  
P. Zhang


Omega ◽  
1997 ◽  
Vol 25 (3) ◽  
pp. 365-376 ◽  
Author(s):  
B.A. Jain


1992 ◽  
Vol 59 (3) ◽  
pp. 595 ◽  
Author(s):  
B. Caillaud ◽  
R. Guesnerie ◽  
P. Rey


2019 ◽  
pp. 96-109

The article gives an overview of the market microstructure approach, where modern financial infrastructure (trading, clearing and settlement) has for the first time become an object of dedicated research, contrary to traditional microeconomic models dealing with abstract demand, supply etc. apart from market realities. The market microstructure approach focuses on analysis of market frictions impacting on how new equilibriums are being come upon. Market frictions exist due to fragmented market structure and information asymmetries. Respectively, the article (Part 1) compares “market microstructure” and “market structure”; reveals drivers of spatial and temporal fragmentation (including breakdown of modern trading protocols and participation models); analyzes information (self-)learning of market and adverse selection; makes distinctions between “market quality”, “market efficiency” and “market liquidity”; and traces how the market efficiency and equilibrium concepts were evolving when market frictions drew attention. How the market microstructure approach may work is demonstrated in the course of a high-frequency trading (HFT) case study in Part 2 of the article. HFT has brought new evidence that market structure matters—both as an environment where tech innovations are only possible and as mechanisms to be adjusted to new challenges—and has outlined directions for further elaborations on basic microstructural concepts. The article associates HFT with market fragmentation, describes the impact of HFT on participation structure and market quality, summarizes predatory and similar practices of HFT and instruments to mitigate them, and clarifies the specifics of information asymmetry and adverse selection within the HFT framework.



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