Insurers and Their Multidimensional Regulatory Landscape

Regulatory Stringency and New York Licensed Life Insurers

The regulatory stringency of New York insurance law, along with its extraterritorial application, makes it unique among state regulatory jurisdictions. This is the first study to simultaneously examine the relation between a broad array of firm-specific characteristics and the probability of being licensed in New York. We make predictions about expected characteristics of New York licensed life...

Biological evolution in a multidimensional fitness landscape.

We considered a multiblock molecular model of biological evolution, in which fitness is a function of the mean types of alleles located at different parts (blocks) of the genome. We formulated an infinite population model with selection and mutation, and calculated the mean fitness. For the case of recombination, we formulated a model with a multidimensional fitness landscape (the dimension of ...

Mapping the Shh regulatory landscape

China’s Insurance Regulatory Reform, Corporate Governance Behavior and Insurers’ Governance Effectiveness

External regulation is an important mechanism to improve corporate behavior in emerging markets. China's insurance governance regulation, which began to supervise and guide insurance corporate governance behavior in 2006, has experienced a complex process of reform. This study tested our hypotheses with a sample of 85 firms during 2010-2011, which was obtained by providing a questionnaire to al...

Multidimensional compressed sensing and their applications

Compressed sensing (CS) comprises a set of relatively new techniques that exploit the underlying structure of data sets allowing their reconstruction from compressed versions or incomplete information. CS reconstruction algorithms are essentially nonlinear, demanding heavy computation overhead and large storage memory, especially in the case of multidimensional signals. Excellent review papers ...