Risk Financing Techniques

Advanced study of risk financing tools including insurance, reinsurance, and captives. Covers ERM processes and statistical quantification of corporate risk.

no offering record for this termCredits unavailable
Recorded instructors · Spring 2027 No instructors listed

Summary

1 / 7

Past student reviews · Tyler Leverty

The course was considered tough for students who had only completed Finance 300, requiring dedication to learn the material successfully.

What you’ll be able to do

  • Explain the objective of risk management for corporations, and summarize and interpret how risk management creates value for corporations

  • Apply the enterprise risk management process for a corporation

  • Use statistical tools (regression, Value-at-Risk, and simulation analysis) to quantify and analyze risk exposures and how they impact the value of a corporation

  • Classify and differentiate the institutions, contracts, and strategies available to finance risks

  • Evaluate the potential risks to a corporation and generate recommendations regarding the risk management strategy that leads to the greatest increase in corporate value

Source: UW Guide

Grade history

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average GPA
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All recorded terms · compare terms & instructors

Prerequisites

Course map

(R M I 300 or graduate/professional standing) and (GEN BUS 306, 704,ECON 310,STAT/​MATH 309, 431, or MATH 331), and (FINANCE/​ECON 300 or FINANCE 700), or declared in the Business Exchange program

RMI 655

This is a best-effort interpretation; check the catalog requirements above.

Prerequisite text tree

Professors

Spring 2027

No instructors recorded for this selection.

Historical instructors & teaching patterns

Recorded history may be incomplete and does not establish a future schedule.

Calendar & sections

Spring 2027

Schedule loads here as you scroll.

SectionModeEnrolled / capacityWaitlist

Times are Central. Select a meeting for details; export includes recorded dates for the selected sections.

Meeting source records

Student experience

the class

Past student reviews · Tyler Leverty

Students described Tyler Leverty as an engaging professor who effectively connected finance and risk management topics using his industry experience.

Recent recorded grades — Fall 2024: 3.49 GPA, 70.6% A/AB (n=34 letter grades); Spring 2025: 3.50 GPA, 75.7% A/AB (n=37 letter grades); Fall 2025: 3.50 GPA, 67.6% A/AB (n=37 letter grades).

difficulty & workload

Past student reviews · Tyler Leverty

The course was considered tough for students who had only completed Finance 300, requiring dedication to learn the material successfully.

Past student reviews · Tyler Leverty

One student emphasized that the course provided an excellent learning experience and stressed the importance of understanding covariance.

Topics

  • Insurance, self-insurance, and reinsurance structures
  • Enterprise Risk Management (ERM)
  • Statistical risk quantification methods

Skills

  • Applying the enterprise risk management process
  • Quantifying risk using regression, VaR, and simulation
  • Differentiating risk financing institutions and contracts
  • Generating risk management recommendations to increase corporate value

Grades

Latest available · Fall 2025— not enough history to project Spring 2027.

average GPA
A / AB grades
letter grades
Instructor

Grade distribution · % of letter grades

A
AB
B
BC
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F

Grades over time

Through Fall 2025

More grade details Grade mix, volume & source data

Where this course fits relative to

Latest available grades · Fall 2025 · all course levels

GPA

Higher than % of other courses in this group.

Course GPAs · red marks this course’s range

letter grades

More recorded grades than % of other courses in this group.

Typical course in this group: letter grades.

About this comparison

1316 courses over the same term, each with at least 30 recorded letter grades. Cross-listed courses count once. GPA is not a measure of difficulty or teaching quality. The typical course is the median by recorded grade count; tied values are not counted as lower. Grade counts describe course scale, not unique students or typical section size.

Descriptions compare GPA with this group’s average: at least 0.20 higher or lower; otherwise close to average. Section size uses median recorded enrollment: small up to 30, mid-sized 31–99, large 100+. Lectures and discussion/lab sections are described separately.

Sources & history

UW–Madison

Catalog & offerings

Descriptions, prerequisites, and recorded course offerings.

Catalog observation history

Observations at scan time; dates do not imply when a catalog change took effect.

Selected offering source records

No offering records for the selected term.

Raw records
[]
Rate My Professors

Student reviews

Original comments behind the course and instructor summaries.

Read original reviews
Madgrades

Grade history

Recorded grade distributions by term, section, and instructor.

Explore recorded grades
Model outputs & technical records
Qwen/Qwen3.8-27B
LLM outputs across runs
Full model traces

Recorded model configuration, reasoning, and tool conversations.

Model & dataset provenance
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  "requirements_status": "needs_review",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
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