Insurance Commons^™

Estimating The Economic Impact Of A Natural Disaster On The Workforce Resiliency: An Analysis Of The Virginia Beach - Chesapeake - Norfolk Metropolitan Statistical Area, Robert M. Mcnab, Yin-Hsuen Chen, George Mcleod

Presentations, Lectures, Posters, Reports

In this paper, we explore the potential economic impacts associated with a major hurricane making landfall in Hampton Roads. We estimate the direct damages from a Florence-like Category 3 hurricane with a 3.6 feet tidal offset are estimated at $15.6 billion, equivalent to 10% of the 2022 regional GDP. If we apply existing flood insurance rates to these projected damages, we estimate that the total economic impact would exceed $12 billion with a short-term loss of more than 76,000 jobs. The job losses are concentrated in sectors that provide services to households which would bear the brunt of damages during …

Module 1: Introduction To Technology Foresight, Risk Management, And Insurtech, Michael Mcshane, C. Ariel Pinto, Hesamoddin Tahami, Hengameh Fakhravar

Developing Technology Foresight: Case Study of AI in InsurTech

Instructional Module 1 for course, Developing Technology Foresight: Case Study of AI in InsurTech.

Module 2: Case Studies Of Ai And Insurtech, Michael Mcshane, C. Ariel Pinto, Hesamoddin Tahami, Hengameh Fakhravar

Developing Technology Foresight: Case Study of AI in InsurTech

Instructional Module 2 for course, Developing Technology Foresight: Case Study of AI in InsurTech.

Module 3: Technology Foresight And Insurtech, Michael Mcshane, C. Ariel Pinto, Hesamoddin Tahami, Hengameh Fakhravar

Developing Technology Foresight: Case Study of AI in InsurTech

Instructional Module 3 for course, Developing Technology Foresight: Case Study of AI in InsurTech.

Insurtech And Distribution, Michael Mcshane, C. Ariel Pinto, Hesamoddin Tahami, Hengameh Fakhravar

Developing Technology Foresight: Case Study of AI in InsurTech

Questions regarding InsurTech and distribution.

Insurtech And Actuarial, Michael Mcshane, C. Ariel Pinto, Hesamoddin Tahami, Hengameh Fakhravar

Developing Technology Foresight: Case Study of AI in InsurTech

Questions regarding InsurTech and actuarial work.

Introduction To The Course, Michael Mcshane, C. Ariel Pinto, Hesamoddin Tahami, Hengameh Fakhravar

Developing Technology Foresight: Case Study of AI in InsurTech

This PDF document describes the course, Developing Technology Foresight: Case Study of AI in InsurTech, and includes learning outcomes and a course outline.

Insurtech And Underwriting, Michael Mcshane, C. Ariel Pinto, Hesamoddin Tahami, Hengameh Fakhravar

Developing Technology Foresight: Case Study of AI in InsurTech

Questions regarding InsurTech and underwriting work.

Insurtech And Claims, Michael Mcshane, C. Ariel Pinto, Hesamoddin Tahami, Hengameh Fakhravar

Developing Technology Foresight: Case Study of AI in InsurTech

Questions related to InsurTech and claims.

Odu Professor Helps Develop Flood Risk Calculator, Sherry Dibari

News Items

No abstract provided.

System For Monitoring The Quality Of Services Provided By A Public Institution Based On Business Processes, Larisa A. Bulysheva, Mikhail Y. Kataev, Natalia V. Loseva

Information Technology & Decision Sciences Faculty Publications

Monitoring the quality of the services provided by public institutions is an important element in improving the effectiveness of the entire system of public services in the Russian Federation. As a rule, monitoring is associated with obtaining quantitative indicators of the level of satisfaction of citizens which characterize the quality of services provided. Monitoring results are the basis for modernizing the service management system. However, this approach allows us to evaluate only one side of the process by which a public institution renders services to the consumer of services (citizens). The other side of the issue is related to monitoring …

Toward Better Management Of Flood Losses: Flood Insurance In A Wetter World, Michael K. Mcshane, Juita-Elena (Wie) Yusuf

Finance Faculty Publications

Flood is the most frequent and costly of U.S. natural disasters with losses expected to increase due to climate change. The National Flood Insurance Program (NFIP) mandates flood insurance purchase for properties with federally backed mortgages in the 100-year floodplain. We propose that mandatory flood insurance purchase be extended to all property in the 500-year floodplain. Following flood events, payments would be directly provided for more properties that suffer flood loss, reducing federal disaster aid spending. The mandate could put more pressure on local governments to increase their Community Rating System score, such as through infrastructure investments and management practices …

Virginia Homeowners Handbook: Helping Homeowners Prepare For Hurricanes And Other Natural Hazards, Jon Cawley

News Items

No abstract provided.

Social Health Insurance Coverage And Financial Protection Among Rural-To-Urban Internal Migrants In China: Evidence From A Nationally Representative Cross-Sectional Study, Wen Chen, Qi Zhang, Andre M. N. Renzaho, Fangjing Zhou, Hui Zhang, Li Ling

Community & Environmental Health Faculty Publications

INTRODUCTION: Migrants are a vulnerable population and could experience various challenges and barriers to accessing health insurance. Health insurance coverage protects migrants from financial loss related to illness and death. We assessed social health insurance (SHI) coverage and its financial protection effect among rural-to-urban internal migrants (IMs) in China.

METHODS: Data from the '2014 National Internal Migrant Dynamic Monitoring Survey' were used. We categorised 170 904 rural-to-urban IMs according to their SHI status, namely uninsured by SHI, insured by the rural SHI scheme (new rural cooperative medical scheme (NCMS)) or the urban SHI schemes (urban employee-based basic medical insurance (UEBMI)/urban …

An Appraisal Of The Actuaries’ Climate Risk Index, Stephen Lee Kolk

May 18, 2016: The Economic Impacts of Sea-Level Rise in Hampton Roads

PDF of powerpoint presentation given at the workshop "The Economic Impacts of Sea-Level Rise in Hampton Roads: An Appraisal of the Projects Underway" on May 18, 2016 at the Virginia Modeling and Simulation Center, 1030 University Blvd, Suffolk, VA 23435

Modeling Business Processes Of The Social Insurance Fund In Information System Runa Wfe, M. Yu Kataev, L. A. Bulysheva, Li D. Xu, N. V. Loseva

Information Technology & Decision Sciences Faculty Publications

Introduction - Business processes are gradually becoming a tool that allows you at a new level to put employees or to make more efficient document management system. In these directions the main work, and presents the largest possible number of publications. However, business processes are still poorly implemented in public institutions, where it is very difficult to formalize the main existing processes. Us attempts to build a system of business processes for such state agencies as the Russian social insurance Fund (SIF), where virtually all of the processes, when different inputs have the same output: public service. The parameters of …

Disparities In Hospital Services Utilization Among Patients With Mental Health Issues: A Statewide Example Examining Insurance Status And Race Factors From 1999-2010, Viann N. Nguyen-Feng, Hind A. Beydoun, Michael K. Mcshane, James D. Blando

Community & Environmental Health Faculty Publications

There exist many disconnects between the mental and general health care sectors. However, a goal of the Affordable Care Act (ACA) of 2010 is to change this by improving insurance access and the intersection of mental and general health care. As insurance status intersects with race, the present study examines how race, insurance status, and hospital mental health services utilization differ across groups within the state of New Jersey. The present study aims to determine trends in hospital mental health care utilization by insurance status and race from 1999 to 2010. The rate of self-pay for mental health disorders in …

Report On Collaboration Of Dr. Diane Horn With Dr. Michael Mcshane As Part Of The Climate Change And Sea Level Rise Initiative, Diane Horn, Michael K. Mcshane

CCSLRI Reports

No abstract provided.

Risk Allocation Across The Enterprise: Evidence From The Insurance Industry, Michael K. Mcshane, Tao Zhang, Larry A. Cox

Finance Faculty Publications

Financial researchers initially regarded hedging activities as a means to reduce total firm risk, which often is defined in terms of cash flow volatility. More recently, researchers have focused on the strategic allocation of risk. Direct tests of risk allocation have been problematic, however, because hedging data are rarely available and, when available, are specific only to a single operation of the firm, such as bank lending. In this study, we exploit unique data from the insurance industry that allows us to observe hedging proxies for both investment and insurance underwriting risks and test the risk allocation hypothesis developed in …

Risky Asset Substitution In The Insurance Industry: An Historical Example, Brenda Wells, Karen Epermanis, Larry A. Cox, Michael Mcshane

Finance Faculty Publications

In the 1980s, life insurers sold guaranteed investment contracts (GICs) to pension plan sponsors, then backed these contracts with portfolios heavily weighted with higher risk assets such as common stocks and junk bonds. Ultimately this caused considerable loss, and history has repeated itself in many respects in recent years via holdings of equities and mortgage-backed securities. We evaluate the risky asset substitution in the life insurance industry from an historical perspective to determine if organizational form or other factors might be rationale for managerial decisions to engage in asset substitution. We find evidence that stock insurer managers are more likely …

Preferred Provider Organizations: Developmental Indicators, Marcia Anne Guida

Community & Environmental Health Theses & Dissertations

The purpose of this research was to determine what factors, if any, led to the development of a preferred provider organization and if these factors were related to sponsorship. A survey instrument was developed and mailed to a random sampling of 90 existing preferred provider organizations' executive directors for their completion. A Two-Factor Contingency Table Analysis was compiled. Chi-square, and the Contingency factor, C, were computed and tested at the .05 level of significance. First and second preference analyses were done on the responses to developmental indicators. Mean percentages were tallied for: sponsorship, tax status, alternative delivery systems in the …