Portfolio management simulation for finance classes

Turn asset allocation simulation into a living portfolio.

Students use a portfolio management simulation to construct portfolios under a mandate, execute virtual trades, rebalance as evidence changes, and explain performance in the context of their decisions—not just the final ranking.

Create FREE instructor account Pricing & class setup
  • Multiple virtual portfolios
  • Mandates and class contests
  • Positions + performance evidence
Portfolio mandate · active
MandateObjective, horizon, benchmark, constraints
POLICY
AllocateTranslate policy into portfolio weights
BUILD
RebalanceRespond to drift and new evidence
CONTROL
AttributeConnect outcomes to portfolio decisions
REVIEW
COURSE MODEPORTFOLIO LAB
Course adoption snapshot

A mandate-to-rebalancing portfolio pilot.

Use one common starting mandate or let teams compare policies under the same market conditions.

Best syllabus role

Portfolio lab, practicum, or capstone

Connect policy, allocation, implementation, monitoring, rebalancing, and performance explanation in one observable workflow.

Recommended first use

Mandate and rebalance memo

Students write an investment policy, build the corresponding virtual portfolio, respond to drift or new information, and defend the rebalance.

Student prerequisites

Investments and basic statistics

No coding is required. Students should understand asset classes, diversification, risk and return, benchmarks, and course-defined performance measures.

Platform path

Multiple virtual portfolios

Use positions, orders, balances, allocation choices, histories, independent mandates, and optional class contests for comparable starting conditions.

Assessable evidence

Policy adherence and decision quality

Review the IPS, allocations, transactions, drift, constraint handling, performance narrative, and distinction between process and outcome.

Planning boundary

Public-market implementation layer

Use external tools for full optimizer estimation, institutional analytics, private assets, taxes, or attribution beyond current platform support.

Instructors + TAs free First class free Invite by email or class link Students must be 18+ Use alongside your LMS Student plans 50% off after pilot
See pricing and setup
Recognizable catalog titles

For courses centered on mandates, allocation, and stewardship.

Portfolio ManagementInvestment & Portfolio ManagementPortfolio Analysis and ManagementAsset Allocation and Portfolio ManagementApplied Portfolio ManagementInvestment ManagementQuantitative Investment ManagementAlgorithmic Portfolio ManagementPortfolio ConstructionPortfolio OptimizationInvestments and Performance EvaluationStudent-Managed Investment FundReal Client Managed PortfoliosInvestment Management LabFinance LabInvestment Capstone
Learning outcomes

Make portfolio policy operational.

Students must reconcile objectives and constraints with the trades and exposures they actually create.

Interpret a mandate

Convert return objectives, horizon, liquidity, eligible assets, and constraints into an implementable plan.

Construct and diversify

Choose holdings and weights with attention to concentration, role, correlation, and opportunity cost.

Apply a rebalancing policy

Distinguish drift, new information, and discipline from reactive trading.

Evaluate decisions in context

Use positions, completed trades, balances, and hypothetical performance to explain what drove results.

Assignment-ready labs

Portfolio exercises with different sources of tension.

Lab 01

Competing mandates

Teams receive different objectives and constraints, then explain why the same market information produces different portfolios.

Lab 02

Core–satellite construction

Build a diversified ETF core and a bounded active sleeve; document the intended role and limit for each holding.

Lab 03

Rebalancing policies

Compare calendar, tolerance-band, and evidence-driven decisions using separate virtual portfolios.

Lab 04

Concentration challenge

Let one portfolio drift while another follows explicit exposure limits, then compare path and decision quality.

Lab 05

Rotation strategy

Encode a supported allocation or ranking rule and compare systematic reallocation with discretionary management.

Lab 06

Investment committee review

Use portfolio and trade history as the record for a midterm rebalance memo and final committee defense.

Course-to-platform map

Observe policy, implementation, and revision.

Investfly capabilityLearning useStudent evidence
Multiple virtual portfoliosRun parallel mandates, policies, teams, or scenario portfolios.Holdings, cash, buying power, and mandate-specific rationale.
Positions and trade historyMake implementation choices and turnover visible.Entry, exit, sizing, timing, and rebalance explanations.
Portfolio performanceReview hypothetical path and outcomes.Performance interpretation paired with documented decisions.
Class contestsPlace teams under common dates, starting value, and trading constraints.Comparable portfolios and instructor-exported summaries.
Strategy toolsExpress supported rebalancing or rotation policies as repeatable rules.Configuration or code, backtests, revisions, and virtual forward results.
Suggested project sequence

A mandate-to-review capstone.

01

Investment policy

Define objective, horizon, benchmark, liquidity, eligible assets, ranges, and decision authority.

02

Initial allocation

Build the virtual portfolio and explain how each exposure contributes to the mandate.

03

Monitoring and rebalance

Use a stated policy to decide when evidence justifies a trade and when inaction is appropriate.

04

Performance review

Separate process, risk, and decision quality from the chance embedded in a short observation period.

Teaching boundary

A portfolio simulator is the laboratory—not the theory.

Use Investfly alongside optimization models, benchmark data, risk calculations, policy-statement work, and instructor-provided analytics. The platform does not claim institutional attribution, custody, or every asset class.

  • Use separate portfolios to isolate policies and assumptions.
  • Use listed instruments or instructor-selected public proxies where appropriate.
  • Qualify fixed income, real estate, ESG, and alternatives exercises to supported public assets.
  • Treat all simulated results as hypothetical.
Related course labs
Security layer

Investments & Security Analysis

Build the research process that supplies portfolio candidates.

Control layer

Risk Management & Behavioral Finance

Make exposure limits, exits, and decision discipline explicit.

Client layer

Personal Finance & Wealth Management

Apply portfolio policy to goals, horizon, and individual constraints.

Course planning questions

Using virtual portfolios in a management course

Can students compare multiple allocation policies?

Yes. Separate virtual portfolios can represent different mandates, rebalancing rules, research teams, or scenario assumptions.

Can an instructor standardize contest rules?

Current class contest controls support shared dates, starting value, repeatability, trade-size and security limits, and optional permissions such as short, automated, option, and futures trading.

Does Investfly provide institutional performance attribution?

No. The platform supplies virtual portfolio positions, trades, balances, and hypothetical performance. Advanced attribution and benchmark analytics should come from the course’s chosen analytical tools.

Make policy operational

Build a portfolio management lab around mandates, decisions, and review.

Create a free instructor account and shape the allocation, rebalancing, or investment-committee project you want to run.

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Simulation limitations and current data, instrument, and plan availability apply.