Combination of searches for heavy spin-1 resonances using 139 fb−1 of proton-proton collision data at √s = 13 TeV with the ATLAS detector

A combination of searches for new heavy spin-1 resonances decaying into diferent pairings of W, Z, or Higgs bosons, as well as directly into leptons or quarks, is presented. The data sample used corresponds to 139 fb−1 of proton-proton collisions at √s = 13 TeV collected during 2015–2018 with the ATLAS detector at the CERN Large Hadron Collider. Analyses selecting quark pairs (qq, bb, tt¯, and tb) or third-generation leptons (τν and τ τ ) are included in this kind of combination for the frst time. A simplifed model predicting a spin-1 heavy vector-boson triplet is used. Cross-section limits are set at the 95% confdence level and are compared with predictions for the benchmark model. These limits are also expressed in terms of constraints on couplings of the heavy vector-boson triplet to quarks, leptons, and the Higgs boson. The complementarity of the various analyses increases the sensitivity to new physics, and the resulting constraints are stronger than those from any individual analysis considered. The data exclude a heavy vector-boson triplet with mass below 5.8 TeV in a weakly coupled scenario, below 4.4 TeV in a strongly coupled scenario, and up to 1.5 TeV in the case of production via vector-boson fusion

Measurement of vector boson production cross sections and their ratios using pp collisions at √s = 13.6 TeV with the ATLAS detector

Abstract available from publisher's website

The determinants of credit ratings in the United Kingdom insurance industry

This paper examines the determinants of external credit ratings attained by insurance firms in the United Kingdom (UK) and of the likelihood that insurers will have such an assessment. Using panel data relating to A.M. Best-rated and Standard and Poor's (S&P)-rated insurers over the period 1993-1997, a trichotomous logit model and an ordered probit model with sample selection are employed to show that the factors which influence the likelihood of having external credit assessments not only vary between the two agencies but also differ from those which determine the ratings themselves. Our results are shown to be of potential interest to participants in the insurance industry and policy-makers alike. Copyright Blackwell Publishers Ltd, 2002.

Analyst Earnings Forecasts for Publicly Traded Insurance Companies

Several trends in the insurance and financial services industry, including demutualizationconsolidation, and deregulation, have attracted increasing attention from investors and financial analysts. This paper investigates the accuracy of the earnings forecasts of financial analysts for insurance companies. Our empirical results indicate that analyst forecasts outperform random walk time-series forecasts. Furthermore, we find that both disagreement over earnings forecasts among analysts and the relative forecasting error in the mean forecasts is smaller for life insurers than for property-casualty insurers, whereas the relative errors for forecasts for multiple-line insurers are in between the two. Forecasting error is a negative function of firm size and the number of analysts who are following a company, and is a positive function of the disagreement among analysts.Analyst forecasts have a timing advantage over the random walk model. Our results also suggest that the fair value reporting requirement (SFAS 115), which has been in effect since 1994, has enhanced the accuracy of analyst forecasts. The SFAS 115 has improved the superiority of analyst forecasts over the random walk forecasts for life insurers, but not for property-casualty insurers, and there is a weak improvement for multiple-line insurers. Copyright Springer Science + Business Media, Inc. 2006analyst forecasts, insurance companies, fair value reporting,

Thermodynamics and Thermoelectricity

Thermoelectric (TE) effects result from the interference of electrical current and heat flow in various materials. This chapter presents a retrospective view on some of the milestones in the development of thermoelectricity. It reviews the thermodynamic theory of galvano- and thermomagnetic effects. As for TE materials, the galvano- and thermomagnetic effects can be found to be more pronounced in semiconductor materials. The chapter considers a basic thermodynamic system and thermodynamics of the ideal Fermi gas. Classical thermodynamics, which is useful for describing equilibrium states, provides very incomplete information on the actual physical phenomena, which are characterized by irreversibility and nonequilibrium states. Since the TE process implies the coupling of the heat flux and electric current, these two fluxes should be driven optimally. They derived two key parameters of the compatibility approach, the relative current and the TE potential