Pricing risk in prostitution: Evidence from online sex ads

2019 ◽  
Vol 59 (3) ◽  
pp. 281-305 ◽  
Author(s):  
Gregory DeAngelo ◽  
Jacob N. Shapiro ◽  
Jeffrey Borowitz ◽  
Michael Cafarella ◽  
Christopher Ré ◽  
...  
Keyword(s):  
2020 ◽  
pp. 105048
Author(s):  
Mohammad Reza Hesamzadeh ◽  
Darryl R. Biggar
Keyword(s):  

Author(s):  
Matthias Autrata ◽  
—Alexandra Balloff ◽  
—Mike Bennett ◽  
—Ulrich Bindseil ◽  
—Dennis Cox ◽  
...  

2000 ◽  
Vol 30 (2) ◽  
pp. 259-293 ◽  
Author(s):  
Morton N. Lane

Should the pricing of reinsurance catastrophes be related to the price of the default risk embedded in corporate bonds?If not, why not?A risk is a risk is a risk, in whatever market it appears. Shouldn't the risk-prices in these different markets be comparable? More basically perhaps, how should reinsurance prices and bond prices be set? How does the market currently set them? These questions are central to the inquiry contained in this paper.Avoiding unnecessary suspense, our answers are: Yes, cat prices should be related to credit prices because both risks contain a characteristic trade-off between the frequency of and severity of adverse events. We leave the question of how prices should be set to others and focus on the empirical question of how they have been set by the markets. In the process, we develop a fairly robust pricing mechanism and explore its potential uses in many different contexts.The 1999 Insurance-Linked Securities (ILS) market (a.k.a., Cat Bond market) provides the empirical springboard to the discussion. The ILS market is only 4 years old. As such, it represents a new and unique intersection of reinsurance and financial markets. It provides a wonderful laboratory for exploring risk-pricing.The ILS market, still in its experimental phase, appears to require more generous (cheap) pricing of insurance risk than does the bond market of default risk. So much so that academics have begun to weigh in on the question of why. Previously, insurance pricing discussions had been confined to practicing insurance professionals, particularly actuaries. For finance professionals, insurance pricing, much less reinsurance pricing, seldom made the index of their financial texts – though even that is beginning to change.


2004 ◽  
Vol 41 (A) ◽  
pp. 157-175 ◽  
Author(s):  
Roger Gay

In this paper, insurance claims X on [0, ∞) with tail distributions which are O(x−δ) for some δ > 1 are considered. Markets are assumed arbitrageable, the insurer setting a premium P > E[X]. Setting a premium as a fixed quantile of the loss distribution presents difficulties; for Pareto distributions with F(x) = 1 – (x + l)–δ ‘ultimately' (as δ ↓ 1) E[X] is larger than any quantile. When δ is near 1, premiums determined by weighting outcomes and a rule analogous to the expected utility principle are highly sensitive to change in δ, which is generally unknown or known only approximately. Under these circumstances, to protect insurers' interests, strategies are needed which provide some ‘premium stability' across a range of δ-values. We introduce a class of pricing functions which are functionally dependent on the governing loss distribution, and which are themselves distribution functions. We demonstrate that they provide a coherent framework for pricing insurance premiums when the loss distribution is fat tailed, and enable some degree of premium stability to be established.


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