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Casualty Actuarial Society

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The Casualty Actuarial Society ( CAS ) is a leading international professional society of actuaries , based in North America, and specializing in property and casualty insurance.

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35-447: The two levels of CAS membership are Associate (ACAS) and Fellow (FCAS). Requirements for these levels of membership include a comprehensive series of exams. Topics covered in the exams include statistics , mathematics , finance , economics , insurance , enterprise risk management , and actuarial science . Another class of CAS membership, Affiliate, includes qualified actuaries who practice in property-casualty insurance but do not meet

70-432: A large consumer organization such as a mobile telecommunications operator will have a set of predictive models for product cross-sell , product deep-sell (or upselling ) and churn . It is also now more common for such an organization to have a model of savability using an uplift model . This predicts the likelihood that a customer can be saved at the end of a contract period (the change in churn probability) as opposed to

105-721: A large number of task forces and committees composed of society members and others. The largest single committee is the Examination Committee, consisting of more than three hundred society members, who are responsible for writing and grading the CAS actuarial exams. A professional support staff works for the society and is located in Arlington, Virginia . In December 2020, the CAS Board of Directors voted unanimously to rescind three CAS Statements of Principles. This action by

140-450: A multivariable prediction model for individual prognosis or diagnosis (TRIPOD)), and have since been updated. Predictive modelling has been used to estimate surgery duration . Predictive modeling in trading is a modeling process wherein the probability of an outcome is predicted using a set of predictor variables . Predictive models can be built for different assets like stocks, futures, currencies, commodities etc. Predictive modeling

175-624: A product, to use a product more or to re-sign a contract. For example, in a retention campaign you wish to predict the change in probability that a customer will remain a customer if they are contacted. A model of the change in probability allows the retention campaign to be targeted at those customers on whom the change in probability will be beneficial. This allows the retention programme to avoid triggering unnecessary churn or customer attrition without wasting money contacting people who would act anyway. Predictive modelling in archaeology gets its foundations from Gordon Willey 's mid-fifties work in

210-701: A separated dataset (1818 patients). It achieved an area under the ROC ( Receiver Operating Characteristic ) curve of 0.89. To provide explain-ability, they developed an interactive graphical tool that may improve physician understanding of the basis for the model's predictions. The high accuracy and explain-ability of the PPES-Met model may enable the model to be used as a decision support tool to personalize metastatic cancer treatment and provide valuable assistance to physicians. The first clinical prediction model reporting guidelines were published in 2015 (Transparent reporting of

245-586: A series of actuarial exams covering various aspects of actuarial practice. Passing Exams 1–6 as well as Exam S, the Course on Professionalism, the Validation by Educational Experience (VEE), and two online courses qualifies an actuary for the Associateship designation; passing three additional exams is required to become a Fellow. The exams usually take a long time to complete, often near a decade, due to

280-589: A series of limited attendance seminars. Each of the regional affiliates also holds regular meetings. Many members of the CAS are also members of the American Academy of Actuaries , the U.S. umbrella group for actuaries of all specialties. A smaller number are members of the Canadian Institute of Actuaries , the national organization of the actuarial profession in Canada. The governing body of

315-451: A wide range of predictive input beyond basic telemetry including advanced driving behaviour, independent crash records, road history, and user profiles to provide improved risk models. In 2009 Parkland Health & Hospital System began analyzing electronic medical records in order to use predictive modeling to help identify patients at high risk of readmission. Initially, the hospital focused on patients with congestive heart failure, but

350-432: Is establishing statistically valid causal or covariable relationships between natural proxies such as soil types, elevation, slope, vegetation, proximity to water, geology, geomorphology, etc., and the presence of archaeological features. Through analysis of these quantifiable attributes from land that has undergone archaeological survey, sometimes the "archaeological sensitivity" of unsurveyed areas can be anticipated based on

385-434: Is spam or "ham" (non-spam). Depending on definitional boundaries, predictive modelling is synonymous with, or largely overlapping with, the field of machine learning , as it is more commonly referred to in academic or research and development contexts. When deployed commercially, predictive modelling is often referred to as predictive analytics . Predictive modelling is often contrasted with causal modelling /analysis. In

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420-493: Is still extensively used by trading firms to devise strategies and trade. It utilizes mathematically advanced software to evaluate indicators on price, volume, open interest and other historical data, to discover repeatable patterns. Predictive modelling gives lead generators a head start by forecasting data-driven outcomes for each potential campaign. This method saves time and exposes potential blind spots to help client make smarter decisions. Although not widely discussed by

455-510: The Virú Valley of Peru. Complete, intensive surveys were performed then covariability between cultural remains and natural features such as slope and vegetation were determined. Development of quantitative methods and a greater availability of applicable data led to growth of the discipline in the 1960s and by the late 1980s, substantial progress had been made by major land managers worldwide. Generally, predictive modelling in archaeology

490-550: The CAS Board caused a prompt backlash from CAS stakeholders for whom this presented significant problems, including CAS Members, regulatory agencies, and consumer groups. In response, the CAS Board voted to reinstate the Ratemaking Statement of Principles in May 2021. In February 2023, the CAS sent out an email informing new Associates and Fellows of a new decision to stop providing complimentary paper diplomas. The plan

525-505: The CAS are employed by insurance companies, reinsurance companies, insurance brokers, educational institutions, ratemaking organizations, state insurance departments, the federal government, independent consulting firms, and non-traditional employers. There are a number of regional affiliates of the CAS, along with several special interest sections. As of August 2023, there are 6,676 Fellows, 3,340 Associates, and 33 Affiliate members of CAS. The CAS requires all candidates to qualify through

560-448: The SOA as Exams P and FM) are common to both the SOA and the CAS. This joint sponsorship allows students to work on some of the initial requirements before they choose a specific discipline to pursue. The syllabus has a tendency to be adjusted regularly, which makes comparing exams from different 5-year blocks somewhat difficult. In addition to preliminary exams, the candidate need to complete

595-457: The Validation by Educational Experience (VEE) and Data Insurance Series Courses to achieve the credential of Associate of Casualty Actuarial Society (ACAS). Three additional exams are required to achieve the credential of Fellow of Casualty Actuarial Society (FCAS). The society's members publish a large number of research papers on various aspects of property-casualty actuarial science. The society's oldest and most prestigious research publication

630-410: The collector considers his/her selection of the variables, there is always the possibility of new variables that have not been considered or even defined, yet are critical to the outcome. Algorithms can be defeated adversarially. After an algorithm becomes an accepted standard of measurement, it can be taken advantage of by people who understand the algorithm and have the incentive to fool or manipulate

665-440: The crime has taken place. In many cases, the model is chosen on the basis of detection theory to try to guess the probability of an outcome given a set amount of input data, for example given an email determining how likely that it is spam . Models can use one or more classifiers in trying to determine the probability of a set of data belonging to another set. For example, a model might be used to determine whether an email

700-537: The details below. Request from 172.68.168.226 via cp1108 cp1108, Varnish XID 223481319 Upstream caches: cp1108 int Error: 429, Too Many Requests at Thu, 28 Nov 2024 07:53:06 GMT Predictive modeling Predictive modelling uses statistics to predict outcomes. Most often the event one wants to predict is in the future, but predictive modelling can be applied to any type of unknown event, regardless of when it occurred. For example, predictive models are often used to detect crimes and identify suspects, after

735-680: The former, one may be entirely satisfied to make use of indicators of, or proxies for, the outcome of interest. In the latter, one seeks to determine true cause-and-effect relationships. This distinction has given rise to a burgeoning literature in the fields of research methods and statistics and to the common statement that " correlation does not imply causation ". Nearly any statistical model can be used for prediction purposes. Broadly speaking, there are two classes of predictive models: parametric and non-parametric . A third class, semi-parametric models, includes features of both. Parametric models make "specific assumptions with regard to one or more of

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770-417: The future. Using relations derived from historical data to predict the future implicitly assumes there are certain lasting conditions or constants in a complex system. This almost always leads to some imprecision when the system involves people. Unknown unknowns are an issue. In all data collection, the collector first defines the set of variables for which data is collected. However, no matter how extensive

805-673: The low pass rates and the difficulty of the syllabus material. A number of the earlier exams are conducted jointly with the Society of Actuaries (SOA), and relatively few actuaries have qualified as members of both the CAS and the SOA. The subject matter covered in the VEE and each of the nine other CAS components is as follows: The first four actuarial exam requirements, known as "Preliminary Exams" consist largely of core mathematics related to actuarial science including probability, statistics, interest theory, and risk models. Exams 1 and 2 (known to

840-445: The mainstream predictive modeling community, predictive modeling is a methodology that has been widely used in the financial industry in the past and some of the major failures contributed to the financial crisis of 2007–2008 . These failures exemplify the danger of relying exclusively on models that are essentially backward looking in nature. The following examples are by no mean a complete list: History cannot always accurately predict

875-582: The natural proxies in those areas. Large land managers in the United States, such as the Bureau of Land Management (BLM), the Department of Defense (DOD), and numerous highway and parks agencies, have successfully employed this strategy. By using predictive modelling in their cultural resource management plans, they are capable of making more informed decisions when planning for activities that have

910-421: The population parameters that characterize the underlying distribution(s)". Non-parametric models "typically involve fewer assumptions of structure and distributional form [than parametric models] but usually contain strong assumptions about independencies". Uplift modelling is a technique for modelling the change in probability caused by an action. Typically this is a marketing action such as an offer to buy

945-400: The potential to require ground disturbance and subsequently affect archaeological sites. Predictive modelling is used extensively in analytical customer relationship management and data mining to produce customer-level models that describe the likelihood that a customer will take a particular action. The actions are usually sales, marketing and customer retention related. For example,

980-435: The program has expanded to include patients with diabetes, acute myocardial infarction, and pneumonia. In 2018, Banerjee et al. proposed a deep learning model for estimating short-term life expectancy (>3 months) of the patients by analyzing free-text clinical notes in the electronic medical record, while maintaining the temporal visit sequence. The model was trained on a large dataset (10,293 patients) and validated on

1015-500: The qualifications to become an Associate or Fellow. The society was founded in 1914 and originally named the Casualty Actuarial and Statistical Society. The present name was adopted in 1921. The society's first president was I. M. Rubinow , who played a key role in its formation. There were 97 founding members of the society. The CAS was at first primarily concerned with problems of workers compensation insurance, which

1050-523: The science of risk. Variance's current editor-in-chief is Richard W. Gorvett ( University of Illinois ). Non-peer reviewed research is published in the CAS E-Forum . The society holds two general meetings each year for the presentation of research papers and discussions about actuarial topics. Several other meetings, specializing in topics such as ratemaking , predictive modeling , loss reserving , or reinsurance are offered each year, along with

1085-578: The society is the 15-member board of directors, elected by members who hold the Fellowship designation. The administration of the society is conducted by a President elected by the Fellows and seven board-elected Vice-Presidents responsible for administration, admissions, international activities, marketing and communications, professional education, research and development, and risk integration and enterprise risk management. These elected officials oversee

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1120-483: The standard churn prediction model. Predictive modelling is utilised in vehicle insurance to assign risk of incidents to policy holders from information obtained from policy holders. This is extensively employed in usage-based insurance solutions where predictive models utilise telemetry-based data to build a model of predictive risk for claim likelihood. Black-box auto insurance predictive models utilise GPS or accelerometer sensor input only. Some models include

1155-413: Was introduced in the U.S. in the early 20th century. Eventually members of the society worked on all types of property-casualty insurance, including coverages for automobiles, homes and businesses. As of November 2024, the society has over 10,000 members. Although the majority of members live and practice in the United States, there are CAS members in more than 25 countries around the world. Members of

1190-653: Was the annual Proceedings of the Casualty Actuarial Society which was published from 1914–2005. In 2006 the Proceedings no longer contained research papers but only administrative material in combination with the Society's Yearbook . Peer-reviewed research is now published in Variance which focuses on both practical and theoretical research in non-life actuarial science and related areas in

1225-529: Was to provide digital diplomas to all new Members and paper diplomas only to those Members who paid extra money for them. After a swift backlash from the affected new Associates and Fellows, the CAS reversed its decision and decided that it would revert to its prior practice of providing complimentary paper diplomas. Statistics Too Many Requests If you report this error to the Wikimedia System Administrators, please include

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