Teaching introductory concepts of insurance company
management: a simulation game.
by Barrese, James^Scordis, Nicos^Schelhorn, Carolin
The article describes the learning objectives and outcomes of a
computer game that simulates an insurance market. Students integrate
accounting, finance, risk management and insurance, asset management and
investment topics. Students experience competitive interaction in the
product and bond markets and the intra-firm stresses of marketing,
investment and production activities.
Introduction
This article describes an application of student-centered learning
using software to simulate the operations of a property-liability
insurance company. (1) The application is a decision-making game used in
Risk Management and Insurance classes. The game simulates the operations
of a property-liability insurance company and the competition of firms
in the insurance market. Students develop an appreciation for the
interaction of the decisions of insurance company managers operating
under the simulated uncertainty of market and economic conditions.
Learning Objectives
Students develop an appreciation for the complexity of financial
management decisions in the context of the ongoing operations of an
insurance company. The game develops a feel for the interaction of
management decisions and market stress. While it is not
industry-specific, some insurance concepts are developed as part of the
game -- and the game is more easily understood by those with an interest
in the financial services industry.
Students develop an appreciation for the interaction between
management forecasts of economic performance and firm-level investment
outcomes. Students predict the stock market's performance in the
following week in order to develop their current investment strategy.
Bad forecasts may be penalized through the competitive nature of the
game.
Students develop an appreciation for the interaction between
intra-firm decisions affecting investment risk levels, product
(underwriting) risk levels and product pricing. A firm that chooses
extreme, but opposite, risk levels may perform well through luck, but a
system shock may induce financial distress. However, a firm that
"plays it safe" in balancing risk levels may not be able to
compete effectively on product price.
Students develop an understanding of how managerial decisions
affect a firm's performance in a multi-period setting. For example,
firms that do not invest in advertising may achieve short run profit
gains but will lose market share in later periods. Similarly, choosing a
low price may attract a higher market share, but some of the losses
(product expenses) will be paid in later time periods and will undermine
future profitability.
The game is based on play by competing firms. Each firm makes
strategic decisions that impact the values of the other firms through
competition in the market for a homogeneous product, homeowners
insurance. (2) The decision variables include product pricing, employee
compensation schemes, advertising strategy, investment mix and risk
strategy, and underwriting strategy. In each of the five weeks of the
game, teams submit their selections (see Exhibit 1) and the rationale
for their strategy. Their reasoning should reflect an understanding of
interactions among variables and their expectation of the next
week's stock market performance. Both firm investment returns and
the aggregate level of market demand for homeowner's insurance
policies are affected by stock market performance. Game results are a
function of the selections made by the teams and the week's stock
market performance.
Feedback to students consists of:
* a summary of the simulated annual results for the
"industry," and
* program output reporting a simulated balance sheet and income
statement for each firm.
Each week, teams also receive a relative ranking of selected
performance variables and the team's points earned through that
week (see Exhibits 2 and 3). Points earned by a team are a weighted
average of selected performance variables from which deductions are made
to recognize the firm's opportunity costs. Sufficient information
is provided to permit each team to assess the strategic behavior of
other teams. Though the instructor may assign a grade primarily on the
outcome of the game, the authors suggest the grade also reflect the
instructor's evaluation of the expected strategy reports submitted
by students.
This article begins with an overview of the game structure. This
discussion is followed by sections that provide greater detail about
insurance operations, investment strategy, regulatory influences and,
finally, a description of game scoring.
Game Structure
The game is organized around the two major functions of an
insurance company:
* insurance operations and
* investments.
Each week, students select the values of six decision variables
that affect insurance operations:
* sales promotion
* advertising
* price
* new business commission rate
* old business commission rate, and
* the choice of underwriting level (the primary determinant of the
insurance company's operational risk level).
The firm's investment decisions involve the management of the
stock-bond-cash mix and the risk levels of the insurance company's
investment portfolio. The investment portfolio consists of three assets:
cash, bonds, and common stocks. The impact of each variable on market
share is determined by its value relative to the sum of the variable for
all firms.
When an insurance company issues a policy, some of the associated
expenses -- taxes, agent commissions, administrative expenses -- are
charged immediately against the company's income. This charge
decreases surplus at once while the premium collected is set aside in an
unearned premium reserve to be recognized as income over the life of the
policy. This statutory accounting procedure is an artifact of solvency
regulation, however an implication is that as an insurance company
writes more business, expenses must immediately be paid from surplus --
reducing the company's ability to write additional business.
Companies experiencing rapid expansion are particularly susceptible to
this regulatory solvency constraint created by the timing mismatch of
expenses (which must be debited immediately) and income (which must be
credited over time). These regulatory concerns aside, when a firm sells
policies the premium income is available to service the various expenses
of the firm and to generate investment income.
Insurance loss costs are determined by a combination of frequency
(how many claims per unit), severity (average cost of each claim) and
the total number of units insured. Insurers set aside loss reserves for
claims which have been incurred but not reported (IBNR). As claims are
reported to the company, these reserves are reduced. The game captures
the uncertainty of actual versus expected losses by introducing a random
error component in actual losses while reserves are calculated based on
a fixed expected loss ratio derived from "historical"
averages.
Insurance Operations
Homes can be statistically grouped into cohorts that experience
similar within-cohort losses (frequency and severity of losses) but
different between-cohort losses. The difference between the average
losses of different groups occurs because people have different
behavioral characteristics and homes have different construction and
location characteristics. The game captures this underwriting-level
effect with some simplifying assumptions by estimating the number of
homes lost at different underwriting levels. (3)
Losses, Loss Adjustment Expenses and Pricing. The student selects a
desirable underwriting level with knowledge of the expected loss and
loss adjustment expenses associated with each underwriting level. The
expected loss ratio ranges from 58 percent (level 1) to 90 percent
(level 9) with incremental increases of four percent Actual losses have
a random component that allows actual losses to range from 2 percent
below to 3 percent above the expected loss ratio for that underwriting
level. Thus, by chance a looser underwriting level could have better
performance than the next underwriting level; this is demonstrated in
Exhibit 4 which lists the expected loss ratio, actual loss ratio range,
and expresses the expected loss ratio as a percentage of the number of
policies. (4)
The loss ratio generally is the larger of two ratios, the loss
ratio and the expense ratio -- the sum of which is called the combined
ratio. The combined ratio is a standard industry measure of approximate
firm operating profitability. The loss ratio is usually calculated as
the ratio of losses incurred, including the expenses of settling loss
claims, to premiums earned. The expense ratio is usually calculated as
the sum of underwriting expenses incurred, including commissions, state
premium taxes and overhead expenses. (5) In this game, the firm starts
with an underwriting level of 7 and other values that suggest the firm
requires 105.65 percent of premiums to cover its losses and underwriting
expenses. (6) Though there are limitations in correctly interpreting the
combined ratio, the 105.65 ratio value suggests that the firm with an
underwriting level of 7 will lose $5.65 on each $100 policy written.
Investment returns must be high for such a firm to both cover these
losses and offer a sufficient return to investors.
COPYRIGHT 2003 St. John's University, College
of Business Administration Reproduced with permission of the copyright holder. Further reproduction or distribution is prohibited without permission.
Copyright 2003, Gale Group. All rights
reserved. Gale Group is a Thomson Corporation Company.
NOTE: All illustrations and photos have been removed from this article.