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In this paper, we examine the capacity of an arbitrage-free neural-SDE market model to produce realistic scenarios for the joint dynamics of multiple European options on a single underlying. We subsequently demonstrate its use as a risk simulation engine for option portfolios. Through...
Persistent link: https://www.econbiz.de/10013301191
We study the capability of arbitrage-free neural-SDE market models to yield effective strategies for hedging options. In particular, we derive sensitivity-based and minimum-variance-based hedging strategies using these models and examine their performance when applied to various option...
Persistent link: https://www.econbiz.de/10013405887
In 2009, two major surveys in the Governments Division of the U.S. Census Bureau were redesigned to reduce sample size, save resources, and improve the precision of the estimates (Cheng, Corcoran, Barth and Hogue 2009). The new design divides each of the traditional state by government-type...
Persistent link: https://www.econbiz.de/10011144768
Errors in Federal–State Unemployment Insurance (UI) program payments have long been a concern to the U. S. Department of Labor (DOL) and other stakeholders. To maintain program solvency and public support for the program, it is crucial that payments are made only to eligible recipients...
Persistent link: https://www.econbiz.de/10011186434
The Mini-Max User's Guide is intended to expand and support the community of researchers using Medicaid data by providing background information on the Medicaid program, highlighting important features of the Mini-MAX files, and providing guidance to researchers about issues to be considered...
Persistent link: https://www.econbiz.de/10011101757
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Purpose – The purpose of this paper is to conceptually demonstrate that the relationship between turnover and innovation is not direct as some research suggests, but rather indirect, with organizational learning as the prerequisite social mechanism that ties the two phenomena together....
Persistent link: https://www.econbiz.de/10015030317
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