Bank Simulation and Strategy

Bank Simulation and Strategy covers advanced asset-liability, hedging, tax minimization, M&A, and EVA strategies for depository financial institutions through simulations.

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

Summary

1 / 2

Recent recorded grades — Spring 2018: 3.98 GPA, 100.0% A/AB (n=21 letter grades); Spring 2019: 4.00 GPA, 100.0% A/AB (n=9 letter grades); Spring 2020: 4.00 GPA, 100.0% A/AB (n=22 letter grades).

Grade history

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average GPA
letter grades
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AB
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Prerequisites

Course map

FINANCE 410

FINANCE 610

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Professors

Spring 2027

No instructors recorded for this selection.

Historical instructors & teaching patterns

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Calendar & sections

Spring 2027

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Meeting source records

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Student experience

the class

Recent recorded grades — Spring 2018: 3.98 GPA, 100.0% A/AB (n=21 letter grades); Spring 2019: 4.00 GPA, 100.0% A/AB (n=9 letter grades); Spring 2020: 4.00 GPA, 100.0% A/AB (n=22 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Asset-liability management, hedging, tax minimization, mergers and acquisitions, and economic value added
  • Computer-based bank simulation, MA software execution, and foreign exchange trading simulation

Skills

  • Advanced asset-liability, hedging, tax minimization, merger/acquisitions, and economic value added strategies
  • Managing a bank in a computer simulation, executing mergers/acquisitions with MA software, and foreign exchange trading

Grades

Latest available · Spring 2020— not enough history to project Spring 2027.

average GPA
A / AB grades
letter grades
Instructor

Grade distribution · % of letter grades

A
AB
B
BC
C
D
F

Grades over time

Through Spring 2020

More grade details Grade mix, volume & source data

Not enough comparable courses for Spring 2027 in UW–Madison.

Sources & history

UW–Madison

Catalog & offerings

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Raw records
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Madgrades

Grade history

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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
{
  "model": "Qwen/Qwen3.8-27B",
  "model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
  "task_version": "17",
  "output_id": "cb9ceec695c1266a71553c3c84978a24e5fddb029adef2d0bed066f6000b2506",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}