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- Creators: Department of Finance
- Creators: School of International Letters and Cultures
- Resource Type: Text
Description
Catastrophe events occur rather infrequently, but upon their occurrence, can lead to colossal losses for insurance companies. Due to their size and volatility, catastrophe losses are often treated separately from other insurance losses. In fact, many property and casualty insurance companies feature a department or team which focuses solely on modeling catastrophes. Setting reserves for catastrophe losses is difficult due to their unpredictable and often long-tailed nature. Determining loss development factors (LDFs) to estimate the ultimate loss amounts for catastrophe events is one method for setting reserves. In an attempt to aid Company XYZ set more accurate reserves, the research conducted focuses on estimating LDFs for catastrophes which have already occurred and have been settled. Furthermore, the research describes the process used to build a linear model in R to estimate LDFs for Company XYZ's closed catastrophe claims from 2001 \u2014 2016. This linear model was used to predict a catastrophe's LDFs based on the age in weeks of the catastrophe during the first year. Back testing was also performed, as was the comparison between the estimated ultimate losses and actual losses. Future research consideration was proposed.
ContributorsSwoverland, Robert Bo (Author) / Milovanovic, Jelena (Thesis director) / Zicarelli, John (Committee member) / School of Mathematical and Statistical Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
Financial Intelligence Pays Off blog is an easy to use blog for high school juniors and seniors and college students to access in order to receive a quick overview of essential financial topics. There are many sources and college courses for students to take to get a more in-depth understanding of topics such as saving, filing taxes, learning about credit but many times students do not know about these courses. However, it is often that courses are restricted to students who are business majors and online sources sometimes use to technical of terminology for young adults to follow along. The goal of this blog is for it to give students just a quick overview of what taxes are, how to manage and have a good credit score, how to keep a budget and other essential financial tasks. There are five topics covered in the blog as well as resources for students to access if they would like more information on a topic.
ContributorsFavata, Danielle (Co-author) / Perez-Vargas, Sofia (Co-author) / Sadusky, Brian (Thesis director) / Hoffman, David (Committee member) / WPC Graduate Programs (Contributor) / School of Accountancy (Contributor) / Department of Information Systems (Contributor) / Department of Finance (Contributor) / Barrett, The Honors College (Contributor)
Created2018-12
Description
Autonomous vehicles (AV) are capable of producing massive amounts of real time and precise data. This data has the ability to present new business possibilities across a vast amount of markets. These possibilities range from simple applications to unprecedented use cases. With this in mind, the three main objectives we sought to accomplish in our thesis were to: Understand if there is monetization potential in autonomous vehicle data Create a financial model of what detailing the viability of AV data monetization Discover how a particular company (Company X) can take advantage of this opportunity, and outline how that company might access this autonomous vehicle data. First, in order to brainstorm how this data could be monetized, we generated potential use cases, defined probable customers of these use cases, and how the data could generate value to customers as a means to understand what the "price" of autonomous vehicle data might be. While we came up with an extensive list of potential data monetization use cases, we evaluated our list of use cases against six criteria to narrow our focus into the following five: Government, Insurance Companies, Mapping, Marketing purposes, and Freight. Based on our research, we decided to move forward with the insurance industry as a proof of concept for autonomous vehicle data monetization. Based on our modeling, we concluded there is a significant market for autonomous vehicle data monetization moving forward. Data accessibility is a key driver in how profitable a particular company and their competitors can be in this space. In order to effectively monetize this data, it would first be important to understand the method by which a company obtains access to the data in the first place. Ultimately, based on our analysis, Company X has positioned itself well to take advantage of the new trends in autonomous vehicle technology. With more strategic investments and innovation, Company X can be a key benefactor of this unprecedented space in the near future.
ContributorsShapiro, Brandon (Co-author) / Quintana, Alex (Co-author) / Sigrist, Austin (Co-author) / Clark, Rachael (Co-author) / Carlton, Corrine (Co-author) / Simonson, Mark (Thesis director) / Reber, Kevin (Committee member) / Department of Finance (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
As construction and building methods advance so should their focus on reconstruction post-natural disasters. For the past 50 years there has been an average of 6.2 hurricanes making landfall, and several recent unfortunate occurrences in the past year that have caused immeasurable damage and taken priceless lives (Chris Landsea 2017). Damages could have been significantly reduced to residential homes and lives saved if proper, hurricane-resistant construction was used. It is important to continue advancement in efficient planning and reconstructive methods to restore individuals into their homes and ensure their safety in the future. Utilizing tested resilient building methods may increase construction costs but has a visible payoff through mitigation of economic losses in the future. This can also help develop response and mitigation plans based on the very specific conditions of each community or affected location. To do so, it is crucial to continue research and test various methods of construction and materials in residential homes. This study was a comparative analysis of the current roof systems implemented in residential homes, the role of hurricane testing facilities in maintaining building codes, and how damage incurred by hurricanes can be significantly reduced through a shift in the approach of homeowner insurance incentive. The purpose of this study was to provide a feasible and practicable solution for increasing implementation of hurricane resistant construction into homes. The results of this analysis concluded that there is a low percentage of homeowners investing in making their homes hurricane resilient. By re-inventing the incentive methods that insurance companies offer, this problem can step into the right direction in making more homes hurricane resilient consequently reducing damages, deaths, and economic loss.
ContributorsVarkalaite, Migle (Author) / Sullivan, Kenneth (Thesis director) / Ayer, Steven (Committee member) / School of International Letters and Cultures (Contributor) / Del E. Webb Construction (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
Abstract The purpose of this study was to discover the most prominent factors that affect the Arizona population from routinely visiting the dentist. For many people there is a factor of anxiety or fear, while others have issues with cost, insurance, or even the dental clinic environment. My study looks at some of these factors and supports the data with available research on dental avoidance factors. A significant portion of the study is also allotted to potential solutions to these avoidance factors, in order to increase regular dental visitation. Oral health is extremely important not only to the teeth, but also to the rest of the body. Therefore, it is important to address avoidance factors and find potential solutions to these problems. The study involved 71 participants, eighteen years of age or older, and a questionnaire with twenty-one questions. These questions asked the participants about gender, ethnicity, age, employment, reasons for avoidance, oral health education, and past dental experiences. These questions were designed to better understand how a person's background and understanding of dentistry affect their decision to visit the dentist. These questions also provide insight to why certain avoidance factors apply to different groups of people in the Arizona population. The results of the study showed that anxiety, price, insurance issues, and the personality of the dentist are the most prominent factors that cause individuals to avoid the dentist. Potential solutions to these avoidance factors were given, especially for anxious individuals. There are dentists who deal specifically with anxious individuals through sedation dentistry. Regarding price, there were several options for free or low-cost dental clinics that were provided. Preventative dentistry education was an important focus and solution to many of the avoidance factors, because when individuals are more aware of how to care for their teeth, there is a greater chance that they will have healthier teeth and dental visits will be less invasive and costly. Suggestions were provided for spreading oral health education and preventative dentistry through community programs and schools. Among the avoidance factors addressed, solutions provided, and the importance of oral health and preventative dentistry reiterated, the study stressed the importance of the results to my future profession. As a future dental practitioner, the data and research will be used in order for me to become a more compassionate and accommodating practitioner to my future patients. There is a special relationship and trust between the dental practitioner and their patient, and this study has helped me better understand how to accommodate patients and eliminate the factors that cause them to avoid regular dental visits.
ContributorsValimaki, Casey Jordyn (Author) / Washo-Krupps, Delon (Thesis director) / Bang, Christofer (Committee member) / Schoenborn, Scot (Committee member) / School of International Letters and Cultures (Contributor) / School of Life Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
The insurance industry is a multibillion-dollar industry, yet it lags far behind other industries like banking and big tech in its adaptation of automation. I experienced this first-hand as an intern at State Farm. I completed a project that was a massive data entry job and made it into a process that took clicking three buttons to finish. Although just one example, it was clear that State Farm as well as the insurance industry in general are not utilizing automation and machine learning. The adaptation of automation and machine learning will have internal and external benefits for insurance companies like increased efficiencies in business processes and increased customer satisfaction. However, to realize these external and internal benefits, companies, like State Farm, must implement an adhocratic culture where risk taking is incentivized, and companies must invest resources into their underwriting processes, rather through internal investment or an acquisition, to automate the process.
ContributorsKindopp, Archer Orvin (Author) / Bryne, Jared (Thesis director) / Schiller, Christoph (Committee member) / Department of Finance (Contributor) / School of Accountancy (Contributor) / Dean, W.P. Carey School of Business (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
Description
AARP estimates that 90% of seniors wish to remain in their homes during retirement. Seniors need assistance as they age, historically they have received assistance from either family members, nursing homes, or Continuing Care Retirement Communities. For seniors not wanting any of these options, there has been very few alternatives. Now, the emergence of the continuing care at home program is providing hope for a different method of elder care moving forward. CCaH programs offer services such as: skilled nursing care, care coordination, emergency response systems, aid with personal and health care, and transportation. Such services allow seniors to continue to live in their own home with assistance as their health deteriorates over time. Currently, only 30 CCaH programs exist. With the growth of the elderly population in the coming years, this model seems poised for growth.
ContributorsSturm, Brendan (Author) / Milovanovic, Jelena (Thesis director) / Hassett, Matthew (Committee member) / School of Mathematical and Statistical Sciences (Contributor) / Economics Program in CLAS (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
The objective of this study is to build a model using R and RStudio that automates ratemaking procedures for Company XYZ’s actuaries in their commercial general liability pricing department. The purpose and importance of this objective is to allow actuaries to work more efficiently and effectively by using this model that outputs the results they otherwise would have had to code and calculate on their own. Instead of spending time working towards these results, the actuaries can analyze the findings, strategize accordingly, and communicate with business partners. The model was built from R code that was later transformed to Shiny, a package within RStudio that allows for the build-up of interactive web applications. The final result is a Shiny app that first takes in multiple datasets from Company XYZ’s data warehouse and displays different views of the data in order for actuaries to make selections on development and trend methods. The app outputs the re-created ratemaking exhibits showing the resulting developed and trended loss and premium as well as the experience-based indicated rate level change based on prior selections. The ratemaking process and Shiny app functionality will be detailed in this report.
ContributorsGilkey, Gina (Author) / Zicarelli, John (Thesis director) / Milovanovic, Jelena (Committee member) / Barrett, The Honors College (Contributor) / School of Mathematical and Statistical Sciences (Contributor)
Created2022-05
Description
This report describes the technology, benefits, and deployment of autonomous vehicles and how they are expected to impact the insurance industry, specifically collision coverage policies. A pure premium trend analysis is done to come up with a realistic prediction of how the frequency and severity of vehicle collisions will change over time. Two additional scenarios are done to address the fact that there is still uncertainty surrounding the timing of the implementation of AVs. Lastly, the risks that come with AVs are discussed along with potential risk mitigation strategies.
ContributorsMullenmeister, Morgan (Author) / Zhou, Hongjuan (Thesis director) / Milovanovic, Jelena (Committee member) / Zicarelli, John (Committee member) / Barrett, The Honors College (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / School of International Letters and Cultures (Contributor)
Created2022-12