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Insurance Exam with verified detailed answers || || || || ||
Risk - ✔✔uncertainty of outcomes
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The insurance industry is evolving as a result of two key, overarching factors that are
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influencing virtually every aspect of the insurance value chain: - ✔✔the growing demand
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for risk management consulting
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new technology that's helping organizations predict and prevent losses
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Examples of Technology Used to Predict and Prevent Losses - ✔✔Telematics- has greatly
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influenced vehicle and driver safety || || || ||
Wearables
IoT Sensors
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Smartphones
Cloud Storage ||
Predictive Models ||
Artificial Intelligence ||
,Law of Large Numbers - ✔✔A mathematical principle stating that as the number of similar
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but independent exposure units increases, the relative accuracy of predictions about future
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outcomes (losses) also increases. || || ||
Oscar's custom-built vehicle looks like a sausage sandwich on wheels. He plans to drive it to
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special events at schools around the country where it will serve as a mobile billboard to
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promote his product. Oscar is surprised to learn that insurers are reluctant to insure his
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vehicle because it fails to meet one of the ideal characteristics of an insurable risk. Which
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characteristic is Oscar's vehicle least likely to meet? || || || || || || ||
Smart Product - ✔✔An innovative item that uses sensors; wireless sensor networks; and
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data collection, transmission, and analysis to further enable the item to be faster, more
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useful, or otherwise improved.
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Sensor - ✔✔A device that detects and measures stimuli in its environment.
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Wireless sensor network (WSN) - ✔✔A wireless network consisting of individual sensors
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placed at various locations to exchange data.
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Big data - ✔✔Sets of data that are too large to be gathered and analyzed by traditional
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methods.
Internet of Things (IoT) - ✔✔A network of objects that transmit data to computers.
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Predictive analytics - ✔✔Statistical and analytical techniques used to develop models that
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predict future events or behaviors.
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Data science - ✔✔An interdisciplinary field involving the design and use of techniques to
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process very large amounts of data from a variety of sources and to provide knowledge
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based on the data. || || ||
,These decisions can have far-reaching effects across the insurance value chain: -
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✔✔Determining the appropriate coverage limits for an individual policy || || || || || || || ||
Choosing whether to have a prospective customer elaborate on information provided in an
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insurance application ||
Deciding what data to include in a predictive model and where it should come from
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Determining whether a claim shows signs of fraud and should be reported to the special
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investigation unit (SIU) || ||
Deciding the best way to respond empathetically to a customer's claim
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Determining how to describe your ideal job candidate for an open position to a recruiter or
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hiring manager ||
What's the difference between occurrence and claims-made coverage - ✔✔Under an
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occurrence policy, coverage is triggered for losses that happen within the policy period, even
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if the policy has expired. Under a claims-made policy, coverage is triggered for claims that
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occur after the policy's coverage began (the retroactive date) and are reported within the
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policy's reporting period.|| ||
social inflation - ✔✔The increasing of insurance losses caused by higher jury awards,
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increase in liberal treatment of claims by workers compensation boards, legislated rises in
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compensation benefit levels (in some cases retroactively), and new concepts of tort and
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negligence, among others. || ||
These are some of the most common risk classifications - ✔✔Pure and speculative risk
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, Subjective and objective risk || || ||
Diversifiable and nondiversifiable risk || || ||
Quadrants of risk (hazard, operational, financial, and strategic)
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Several factors can affect speculative risk - ✔✔Price risk—Uncertainty about cash flows
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resulting from possible changes in the cost of raw materials and other inputs (such as
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lumber, gas, or electricity), as well as cost-related changes in the market for completed
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products and other outputs. || || || ||
EXAMPLE- Four Grains Cereal Company signed a contract to deliver 250,000 boxes of
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cereal to a national supermarket chain at a specified price per box of cereal six months from
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today. Between now and when the grain to make the cereal is purchased, the cost of the
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grain may increase. If the cost of this important ingredient increases, the profitability of the
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transaction will be altered. This financial risk that Four Grains faces is
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Input Price- Uncertainty of the price of the resources used to produce an organization's
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product
Output Price- Uncertainty regarding the price an organization can charge for its product
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Credit risk- risk that customers or other creditors will fail to make promised payments as
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they come due.—Although a credit risk is particularly significant for banks and other
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financial institutions, it can also be relevant to any organization with accounts receivable.
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Subjective and objective risks can differ in other ways as well: - ✔✔Familiarity and control
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